Register for free to join our community of investors and share your ideas. You will also get access to streaming quotes, interactive charts, trades, portfolio, live options flow and more tools.
Register for free to join our community of investors and share your ideas. You will also get access to streaming quotes, interactive charts, trades, portfolio, live options flow and more tools.
SC13G/A 1 sc13ga.htm
Source
https://www.sec.gov/Archives/edgar/data/1649009/000092963823000425/sc13ga.htm
Februar 13, 2023
Embracing cutting-edge AI, Chinasoft International connects to Baidu's "Wen Xin Yi Yan" to help enterprises digitally transform.
Source
https://www.chinasofti.com/news/2547.htm
Februar 15, 2023
On February 14, Chinasoft International Co., Ltd. announced that it has become the first batch of ecological partners of Baidu's "ERNIE Bot", and will subsequently access the core capabilities of "ERNIE Bot". This move marks the priority of Chinasoft International to obtain the blessing of cutting-edge AI technology, and also marks the first landing of conversational language model technology in domestic enterprise application service customization development scenarios.
The tool chain system of Chinasoft International Service Digital Efficiency Platform will integrate Baidu's "Wen Xin Yi Yan" to create an intelligent project for the entire life cycle of customized development services for enterprise application software and industry solutions such as finance, supply chain, customer experience, and digital manpower. The standardized production capacity of functions, components, and functional modules can achieve a leapfrog improvement in project cost, progress evaluation accuracy, and project delivery quality and efficiency, and create future-oriented AI-driven software development and innovation capabilities. At the same time, the MaaS travel solution created by Chinasoft International will also integrate "Wen Xin Yi Yan", optimize passengers' questions and answers, improve passengers' travel experience, and allow travelers to enjoy the precise travel services brought by technology.
Baidu has been deeply involved in the field of artificial intelligence for more than ten years, and has an industrial-level knowledge-enhanced Wenxin model ERNIE. "Wenxin Yiyan" is a generative dialogue product launched by Baidu based on Wenxin large-scale model technology. It has cross-modal and cross-language in-depth semantic understanding and generation capabilities. There is a wider space for imagination. In addition, "Wenxin Yiyan" will be fully connected to Baidu Smart Cloud. In the future, enterprises can call the service of "Wenxin Yiyan" through Baidu Smart Cloud, and gradually implement artificial intelligence products into actual production scenarios.
Chinasoft International, as the first batch of ecological partners of Baidu's "Wenxin Yiyan", will give priority to internal testing of "Wenxin Yiyan", integrate its technical capabilities, and deepen cooperation with Baidu in various fields such as product development and standard formulation. Strengthen competitiveness through technology sharing, training empowerment, and joint marketing with Baidu, and create full-scenario software engineering artificial intelligence solutions and services for users.
WIMI Develops A 3D Object Recognition System Based On Multi-View Feature Fusion.
Source
https://www.newstrail.com/wimi-develops-a-3dobject-recognition-system-based-on-multi-view-feature-fusion/
February 153, 2023
3D object recognition, as the basis of 3D data understanding and analysis, has become an important research direction in the field of computer vision. With the development of computer technology, the application of 3D object recognition technology is more and more extensive. For example, robots use 3D object recognition technology to model and understand the 3D scene, face recognition system processes images and depth information through 3D object recognition, augmented reality, and virtual reality use 3D object recognition technology to generate and render 3D objects, and so on.
It is said that WIMI Hologram Cloud INC. (NASDAQ: WIMI) has developed a 3D object recognition system based on multi-view feature fusion. It uses a convolutional neural network to analyze different perspectives of 3D objects and infuses features of multiple views to infer the global information of 3D objects, which is then input into the fully connected network for classification. Extrapolating labels for three-dimensional objects from multiple views.
WIMI’s 3D object recognition system based on multi-view feature fusion mainly consists of three parts:
- view information selection,
- feature extraction, and
- feature fusion.
The perspective information module is mainly used to project three-dimensional objects into two-dimensional planes from multiple angles. Different perspectives involve different directions and structure information of objects. Graph structure can be established among multiple views, and clustering can be done according to spatial distribution. RA’s reasonable view information selection strategy can optimize network training data.
Feature extraction module mainly uses a convolutional neural network to extract features. The feature mapping module can be applied to the feature response graph of the view behind the convolution layer, and the ma multi-layer perception machine is used to learn multiple mapping matrices, which map the corresponding view to an approximate feature space respectively. The mapping matrix can summarize the perspective transformation relationship between the views, and map the feature map to a group-level feature describing the region.
Feature fusion module mainly uses reasonable and effective strategies to fuse multiple features and realizes multi-layer fusion based on clustering. The convolution operation is used to wweighthe features of high-dimensional views and encode the weight information between different views. Convolution processes feature response graphs with spatial information. Features are extracted from the convolutional layer of the convolutional neural network and maximum pooling is used to obtain the maximum response on the feature graph. Moreover, cthe orrelation between adjacent views is learned to generate global features with mthe ore descriptive ability and fused into feature graphs.
After all view features are fused into global features, the global features are input into the full connection layer, ahe high-dimensional features among the fusion features with spatial information are mmine and the classification and output results are completed.
Three-dimensional object recognition technology is one of the core technologies of computer vision, which is the key technology of three-dimensional scene understanding and the basis for the machines to understand and interact with the world. It has extremely broad application prospects in automatic driving, intelligent robots, intelligent transportation, autonomous navigation, and other fields. WIMI will also continue to expand the application field of its 3D object recognition algorithm based on multi-view feature fusion.
WIMI Hologram Cloud Improves CPS Security With AI Technology & Deep-Learning Function.
Source
https://www.newstrail.com/wimi-hologram-cloud-improves-cps-security-with-ai-technology-deep-learning-function/
February 14, 2023
Cyber-Physical Systems, CPS, is a network of information and physical elements that interact in the form of feedback. The early Cyber-Physical Systems were the computer network transformation of the original industrial control system or other embedded systems, which was realized through Internet access. With the continuous development of Internet technology and industrial informatization, CPS improving system ease of use and work efficiency, application scale, ensure the security of CPS controllable is an important technical link of a new round of industrial revolution, with the development of the digital industrial system, for CPS network attacks are increasingly diverse and frequent, but production safety is the top priority, to ensure the security of Cyber-Physical Systems (CPS) controllable has become an important technical foundation of industrialization. Based on this, WIMI Hologram Cloud (NASDAQ: WIMI) enables blockchain intrusion detection technology in CPS based on artificial intelligence (AI) and deep learning (DL) to effectively enhance CPS security.
CPS has an integrated and integrated relationship with the Internet of Things, industrial control system, industrial Internet, etc. It is the unity of the computing process and physical process, and it is an intelligent system that integrates computing, communication, and control. At present, there are a large number of node equipment in the intelligent manufacturing CPS system, which need to communicate with each other to complete the allocation of resources and achieve the improvement of production collaboration efficiency. CPS is also constantly upgraded and expanded in the development process of industrial informatization.
Dr. Gao from the research and development center of WIMI Hologram Cloud(NASDAQ: WIMI) proposed that, with the high industrial informatization brought by Cyber-Physical Systems (CPS), its security has become a key technology that cannot be ignored. For this reason, WIMI Hologram Cloud has developed intrusion detection technology using blockchain in the CPS environment:
WIMI-ProBIDCPS technology. This technology uses artificial intelligence (AI) and deep learning (DL) to design an effective intrusion detection system (IDS) model for the CPS environment, combined with blockchain technology for intrusion detection can effectively improve CPS security.
WIMI-ProBIDCPS technology uses a feature selection technique based on the adaptive coordinated search algorithm (AHSA, Adaptive Harmony Search Algorithm) for the correct selection of the feature subset. For intrusion detection and classification, a neural network-based (GRN N) model is applied. Moreover, the detection efficiency of the GRNN technology has been enhanced by using the hyperparameter optimizer-based algorithm, thus enhancing the intrusion detection results. In addition, blockchain technology is applied to enhance security in CPS environments.
Traditional machine learning (ML) technologies can already effectively identify data patterns and detect network attacks in IDS. However, once the distribution of network nodes is quite large, it cannot effectively cover the huge data set, and the performance of detecting network attacks will also be reduced. Advances in combining deep learning (DL) have inspired the IDS mechanism to handle cyber attacks on large data sets of current high complexity. WIMI-ProBIDCPS designed a behavioral analysis based on trust-related IDS. Node credibility is considered by identifying the variance between the two behavioral profiles. Each trust assessment data provided is used to calculate its trust value, and then the incentive model of reinforcement learning.
WIMI-ProBIDCPS designs opportunities for collaboration between edge devices and host devices (IoT devices) to make IDS minimize transmission loss and power consumption. In order to overcome the low classification accuracy and long training time of the current deep neural network (DNN) system, and realize the appropriate response to the intrusion behavior. For the host IDS, a combined deep IDS-based deep belief network (DBN) was created. Meanwhile, the network was optimized and trained using a small-batch gradient descent method.
Blockchain can protect the integrity of data storage and ensure process transparency, and thus has the potential to be used in the field of intrusion detection. WIMI-ProBIDCPS uses blockchain technology to improve security in CPS environments. Blockchain is an immutable distributed dataset, in which new time-stamped transactions are grouped and attached to the block-wise hash chain. The basic blockchain protocol defines how many blocks of copies can be maintained and built in a distributed manner. The primary goal of this block is to save a list of confirmed transactions using encrypted hash functions. The hash function is valid due to subsequent properties.
Blocks in the blockchain are connected to the initial gene blocks and confirmed by hashing. Each block is linked by the relation of each hash, which means that all blocks have a prior hash and are further hashed in the next block. Any such modification to the hash causes the chain to be broken because the original hash attaches to the next block in the chain. Recalculate the original hash to restore the power of the chain. The lack of universal trust means that distributed consensus mechanisms are needed for block validation in blockchain networks, and blockchain-based detection methods enhance security.
WIMI-ProBIDCPS has developed a new way to optimize, using deep learning models to enable blockchain intrusion detection technology in a CPS environment. WIMI-ProBIDCPS technology contains different processes, namely preprocessing, for feature selection, designed based on an adaptive coordinated search algorithm (AHSA) technology. In addition, the optimization algorithm based on the neural network (GRN N) model is used to detect and classify intrusion. In addition, blockchain technology is being applied to enhance security in CPS environments. WIMI Hologram Cloud Extensive simulation analysis was performed to ensure the enhanced performance of the WIMI-ProBIDCPS technology in terms of multiple measures, thereby enhancing the intrusion detection results.
The application of WIMI-ProBIDCPS has a wide range of industrial markets and application scenarios. Cyber-Physical Systems (CPS) is a multi-dimensional and complex solution, which combines the Internet of Things (IoT) with industrial components to build an effective CPS production environment. In addition, CPS can also be used in various applications, such as healthcare, smart transportation, and smart home. The CPS includes the integration of physical and logical systems for the transfer of information between human, analog, and digital components. CPS network contains network modules, sensors, and actuators, suitable for automation, power, civil structure, medical and development fields, CPS is a complex solution and is an important technical link of a new round of industrial revolution, which integrated support network applications and external operations, network security is regarded as the primary technical problem of CPS, the most complex problem in CPS is intrusion harm vulnerability. WIMI-ProBIDCPS will greatly improve the security and reliability of CPS, and will also provide basic technical support for the future intelligent era of the Internet of everything, to ensure the security of massive terminal devices linked to the network.
WiMi Develops A 5G Remote Driving Integrated Control System For Driverless Vehicles.
Source
https://www.newstrail.com/wimi-develops-a-5g-remote-driving-integrated-control-system-for-driverless-vehicles/
February 13, 2023
With the rapid development of artificial intelligence, big data, and other technologies, the vast market demand has prompted the research and application of car networking-related products to land, making the whole automotive industry develop in the direction of safety, comfort, and green. Remote intelligent driving technology is a significant development direction in automotive networking and has many application prospects. In complex environments, drivers can use the remote control to command their vehicles, thus enabling safe and reliable driving on rugged roads and introducing manual decision-making on challenging roads, thereby reducing traffic accidents and casualties.
In response to this demand, WiMi has developed a 5G remote driving integrated control system for driverless vehicles and obtained the software copyright. The system realizes a comprehensive network link between the car and the cloud platform, the vehicle and the vehicle, the vehicle and the road, the vehicle and the people, and the interior of the car through a new generation of information and communication technology, mainly realizing the “triple network integration,” i.e., the integration of the in-vehicle network, the inter-vehicle network, and the in-vehicle mobile internet. It fully uses 5G’s low latency, high bandwidth, and high-reliability features. It integrates 5G communication, vehicle-road-cloud collaboration, cloud computing, and automatic control technologies to ensure close cooperation and information interaction between vehicles and systems, and remote control of vehicles by remote drivers, solving the problem of complex operation under dangerous conditions and providing the safe operation of autonomous driving. Through 5G technology, the system can achieve large bandwidth transmission of voice and video data and low latency, highly reliable transmission of remote control commands and strong support for remote intelligent driving operations.
WiMi’s driverless 5G remote driving integrated control system provides omnidirectional monitoring and intelligent remote control with three core components:
- driving data interaction and control,
- 5G network transmission, and
- integrated control.
The controller and the vehicle CAN interface mainly accomplish driving data interaction and control. The remote cockpit system can send control signals, vehicle status information, positioning information, radar information, cameras, and other information. For example, the ECU transmits the vehicle-side information on vehicle speed, motor speed, unique steering axis angles, and additional information to the vehicle-integrated control via the CAN interface, which is analyzed and encapsulated by the vehicle-integrated control and transmitted to the system in the first instance via switches, CPE and other network devices and visualized.
5G network transmission is achieved mainly by the 5G network and QOS technology. RSU, MEC, private lines, and other essential network transmission equipment can transmit data to the platform and intelligent cockpit. The key indicators of the remote innovative driving system are latency and rate, which are related to the layout structure of the network. The system contains a 5G base station + 5G core network, 5G base station + MEC, 5G base station + leased line, etc. Different network architectures will provide different rate and latency guarantees, and other network architectures will be selected according to the user’s needs.
The integrated control mainly consists of a platform and an intelligent cockpit. The platform is responsible for the maintenance and management of data and provides a visual display; the intelligent cockpit collects the user’s driving data and displays images of all aspects of the vehicle, such as the front, left, right, panorama, and interior. The data will be presented on the large screen in real time for the driver to judge the car, road conditions, etc. The cockpit will send all the driver’s movements to the vehicle end to achieve the monitoring of remote traffic.
To achieve autonomous driving, vehicle-road collaboration must be completed in addition to the hardware conditions in place. This requires vehicles, traffic facilities such as street lights, roads, traffic signs, and even buildings to be connected to the internet. WiMi will continue to conduct research on vehicle sensing fusion technology and the optimization of algorithms, computing power, deep learning, and other computing platforms, with a focus on the development and application of technologies such as 5G and satellite positioning and navigation systems, to lead the industry in technological upgrading in the field of autonomous driving.
WIMI Hologram Cloud Studies A Multi-View Data Fusion Algorithm.
Source
https://www.newstrail.com/wimi-hologram-cloud-studies-a-multi-view-data-fusion-algorithm/
February 13, 2023
With the extensive penetration and deepening of internet technology and applications in our daily life. Thus, people have an increasing demand for better convenience and presentation modes of media. In the Metaverse Era, multi-mode technology, or multi-view data technology can find a suitable way for data integration from multi-data resources and different features and perspectives of objects.
In the Big Data Era, all walks of life have produced large amounts of data. When solving a problem, we usually need to take advantage of multiple different datasets. Different domains produce multiple datasets that are implicitly connected by latent objects. Furthermore, different datasets of the same object and subsets of different features can also be viewed as different views of an object. For example, the information after training from different data sources can identify some of a person’s information, more than fingerprint, face information or signature, etc. A graph can also be represented through different sets of features (such as colors, shapes, etc.), as the datasets describe the same object. Then, these data sets are different from each other, contain unique information, and complement each other. Therefore, integrating different views and extracting different features can describe an object more accurately and comprehensively.
It is understood that the WIMI Hologram Cloud (NASDAQ: WIMI) development team is working on a multi-view-based data fusion algorithm, whose core is a multi-view learning algorithm. The multi-view learning algorithm includes three parts:
- co-training,
- multi-core learning, and
- subspace learning.
The co-training algorithm considers that each sample can be divided into different views, selectively maximizing the likelihood that both parties can agree on the data in different views. Multi-core learning involves a range of machine learning methods, using natural cores that respond to different views, and combining linear and non-linear features to improve learning outcomes. Subspace learning is designed to obtain a subspace that can be shared by different views. With this subspace, it can perform subsequent tasks, such as classification and clustering.
With the continuous improvement of computer level and the continuous progress of data fusion algorithms, the application of data fusion is also constantly promoted. In this era of big data with the information explosion, data has become a strategic asset. Where there is information and data, there will be a demand for data fusion. In the new era of national informatization development strategy, wisdom city, intelligent transportation, and intelligent manufacturing in various fields of digital construction are in steady progress, the construction in the field of digital will have more demand for data fusion algorithms, thus, WIMI based on multi-view data fusion algorithm has extremely broad application prospect.
WIMI Promote Digital Transformation Of Industries By Its Digital Twin AR System.
Source
https://www.newstrail.com/wimi-promote-digital-transformation-of-industries-by-its-digital-twin-ar-system/
February 10, 2023
The development of the new generation of information technology has broken the traditional industrial manufacturing mode, making it possible for cross-enterprise and cross-space collaborative manufacturing, and bringing a new round of development opportunities for manufacturing enterprises. More complex industrial manufacturing environment also for manufacturing enterprise production optimization puts forward serious challenges, contemporary manufacturing enterprises are more concerned about how in distributed collaborative manufacturing environments make systematic decisions to improve the efficiency of the whole manufacturing system, in the face of increasing global competition, manufacturing enterprises need more efficient intelligent collaboration system.
With the popularization of AR applications in the field of industrial manufacturing, many enterprises have not been satisfied with the “display” value of AR applications, and how to use AR digital twin to play a higher value in the field of industrial manufacturing has become a topic of more and more attention.
The digital twin is a kind of big data, artificial intelligence, and simulation modeling based on multidisciplinary integration technology, it adopts a digital method to establish the virtual model of physical entities, and through simulation analysis of physical activities, the integrated use of the interactive feedback, data fusion analysis, decision-making process iterative optimization technology, from the physical entity to the virtual digital model interaction and intelligent control.
WIMI Hologram Cloud (NASDAQ: WIMI) has been deeply engaged in the holographic AR field for many years and is the industry leader. It has developed the AR multi-player collaboration system based on digital twins. It can analyze the industrial manufacturing method from three aspects of process cooperation, scene collaboration, and data cooperation, realize the real-time iteration and update of industrial manufacturing process information, improve the adaptability to various working conditions, eliminate the communication barriers between staff, and ensure the temporal closed-loop control in the product manufacturing process.
Digital twin technology can meet the adaptability of multi-person collaboration systems, and realize the virtual and real mapping of the industrial manufacturing process through virtual and real interactive feedback, data fusion analysis, and decision iterative optimization. AR technology can help the staff to complete the perceptual assistance, data visualization, and interaction of the manufacturing process, which provides an opportunity for the intelligent transformation of the industrial manufacturing mode.
WIMI’s AR multi-player collaboration system based on digital twin mainly includes three processes:
- Twin body construction:
Obtain the manufacturing process resource information, process and store the multi-source heterogeneous information, and realize the construction of the manufacturing twin body.
- AR scene collaboration:
The AR system obtains the collaboration information of the object through the digital twin of the industrially manufactured object, which is used for the collaboration of the scene and data.
- AR co-guidance:
The real-time and closed-loop control of the industrial manufacturing process is realized through virtual and real integration, to meet the quality requirements of products while improving the industrial manufacturing efficiency.
In the digital twin space, the 3-D model and industrial manufacturing process information are processed to obtain abstract attribute information and relationship information to construct the twin body. Digital twinning is the basis of industrial manufacturing process management and data collaboration. AR guides scenes to act as a bridge between physical space and digital twin space for the guidance and collaboration of industrial manufacturing processes. The physical space obtains the process information and collaborative information of industrial manufacturing through the AR system and completes the collaborative manufacturing task based on the visualization and guidance of AR.
The digital twin space guides the assembly of the physical space based on the process design and ensures the standardization and efficiency of the assembly process through the virtual and real mapping process. The working conditions of the physical space will also promote the evolution of the digital twin, and ensure the high fidelity of the digital twin industry through the way of real deficiency. The AR system publishes and visualizes the work tasks through the collaborative attribute information, and constructs the collaborative AR space. Through the collaboration and control of multiple devices, the multi-person model collaboration, perspective collaboration, and data collaboration can be realized.
With the continuous development of industrial digitalization, the traditional multi-person collaboration system and human-computer interaction mode can no longer meet the needs of people. People need to build a system with realistic visual effect, the objective world and virtual scene can interact naturally, and realize multi-person collaboration in the virtual reality environment. The development of digital twins, machine vision, virtual reality, and other technologies has provided technical support for the construction of human-computer interaction and multi-person collaboration systems in the virtual reality environment, and is also more and more used in the field of digital production and manufacturing.
WIMI’s AR multi-player collaboration system based on a digital twin improves the efficiency of multi-player collaboration and human-computer interaction experience through key technologies such as twin construction, AR scene collaboration, and AR collaborative guidance, which is of great significance for promoting digital transformation and upgrading of the manufacturing industry.
WIMI Develops A 3D-Imaging Reconstruction Algorithm System.
Source
https://www.newstrail.com/wimi-develops-a-3d-imaging-reconstruction-algorithm-system/
February 9, 2023
With the continuous development of computer vision and spatial information technology, three-dimensional scene reconstruction is an important way to obtain spatial information. The fields involved in 3D scene reconstruction include computer science, data fusion, image processing, and other disciplines, and they cross each other. At present, 3D reconstruction technology is playing an increasingly important role in various fields, including geographical architecture, electronic mapping, film and television production, game development and innovation, and other fields. For instance, the producers can take the advantage of 3D reconstruction to shape a lot of fantasy and lifelike scenes, which make the audiences an immersive visual experience. Furthermore, with the popularity of the digital-city concept in recent years, the construction of a city also needs the support of 3D scene reconstruction technology while building the 3D smart city model.
3D reconstruction is a mathematical model that can establish suitable representation and processing for 3D objects. It is the base of the Process, Operation, and Analysis of 3D objects under the computer environment, and also, the key technology that expresses objective reality in virtual-reality.
It is understood that WIMI Hologram Cloud (NASDAQ: WIMI) has developed a 3D reconstruction algorithm system. It extracts the point cloud information from multiple images and the obtained point cloud information for data registration and fusion. In addition, the 3 d model reconstruction based on the fusion of point cloud information and image information can give full play to the advantages of the two kinds of information and provide accurate and rich realistic model information.
WIMI three-dimensional reconstruction algorithm system based on image and point cloud fusion mainly includes three parts:
-(1)Data acquisition program to obtain the multi-view cloud and image information of the target model;
-(2)Information extraction program, for sequence images can achieve feature extraction and matching, camera matrix calculation, dense reconstruction, and other functions;
- 3)Point cloud processing program, point cloud registration, and heterologous point cloud fusion.
The theoretical transition matrix is precalculated based on the load view information. The motion information extracted from the images was used to assist the point clouds for registration, followed by the fusion of the heterologous point clouds.
The purpose of point cloud registration is to align two point clouds of the same target acquired at different directions in the same environment, so as to obtain complete environment model information. In the registration process, the initial information is obtained by multi-point cloud and image acquisition of environmental targets.
After obtaining the initial information, the motion information is calculated from the image sequence. After dense reconstruction, the environmental 3D point cloud is obtained, and the calibration of the scale factor is completed in the process. Then the final environmental point cloud model is obtained after merging the point clouds, and the 3D scene model is obtained after surface reconstruction.
Among them, the information extraction stage, mainly involves feature extraction, matching, and acquisition of feature points and reference calibration outside the camera. On the one hand, the external parameter calibration of the camera mainly uses the extracted feature points to solve the information; on the other hand, the number and accuracy of feature point pairs are the basis of the subsequent reconstruction process. After collecting or merging to obtain the point cloud data, it is necessary to use appropriate algorithms to preprocess the collected point cloud data, and then surface-reconstruct the processed point cloud. The dense reconstruction is based on the dense matching of sparse point clouds, and further uses the image information to obtain rich point clouds.
3d scene reconstruction technology development has become an important computer technology, from a single object to multiple objects, from small targets to large target,s and even outdoor scenes, for 3 d target scene color information and space distance information acquisition and fusion has achieved very high accuracy, it’s in construction engineering, intelligent robot, entertainment games, and other fields have been widely used. WIMI will also continue to expand the application field of its three-dimensional reconstruction algorithm system based on image and point cloud fusion, build a bridge between real scenes and virtual space, and help shape the real digital world.
WiMi Hologram Realizes holographic ChatGPT digital twins.
Source
https://finance.yahoo.com/news/wimi-hologram-realizes-holographic-chatgpt-135000638.html
February 8, 2023
WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the realization of holographic digital twins with ChatGPT technology, the layout of ChatGPT's underlying holographic technology research and development, and the active exploration and layout of the holographic ChatGPT, "the next generation Internet".
The essence of "holographic ChatGPT digital twins" is an open virtual world supported by hardware and software conditions. The basic operation of the virtual world and holographic content production is ensured through high coverage and excellent network quality Internet services. The main layout of WiMi's ChatGPT digital twins lies in the hardware and software R&D of the underlying holographic technologies, and the further expansion of holographic ChatGPT digital twins' holographic applications.
1. In terms of holographic ChatGPT digital twin technology, WiMi embedded holographic AR content into virtual applications based on imaging detection and recognition technology, template matching and detection technology, video processing and recognition technology, holographic 3D layer replacement technology in imaging recognition and dynamic fusion processing technology in imaging tracking. WiMi's holographic AR content and holographic imaging services based on image detection, recognition, template matching, dynamic image fusion and replacement will generate commercial value in holographic ChatGPT digital twins applications.
2. In terms of holographic ChatGPT digital twins applications, WiMi has a comprehensive holographic IP equity content library, and virtual holographic content covers from 3D models to holographic virtual products. WiMi owns a total of 4,654 holographic virtual IP rights that can be used in WiMi's holographic AR products and solutions, covering a wide range of categories, including holographic anime, virtual live streaming, virtual idol and virtual social. WiMi's virtual assets will generate business value in holographic ChatGPT digital twins.
3. In terms of holographic ChatGPT digital twins hardware, WiMi has launched its holographic XR head-mounted display product "WiMi Hologram SoftLight", which has been licensed by FFC and approved to enter the US market. This accelerated iteration in image's color management, interfacing devices, and the feel of the wearing experience will lay the groundwork for WiMi in the holographic ChatGPT digital twins market.
WiMi has developed industry-leading holographic AR technologies such as 3D visualization and a comprehensive Software-as-a-Service ("SaaS") platform. The Company's holographic AR business customer base covers a wide range of industries, including advertising, entertainment, education, and telecommunications. With the widespread use of holographic ChatGPT digital twins applications, WiMi expects the holographic cloud industry to experience exponential growth in turn.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI), whose commercial operations began in 2015, is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
WiMi Hologram Cloud Develops Digital Holo Eye-Focus System.
Source
https://www.newstrail.com/wimi-hologram-cloud-develops-digital-holo-eye-focus-system/
February 7, 2023
In recent decades, the development of our display technology is efficient and rapid. People have experienced from black and white to color, from low resolution to ultra high definition 4K display, from 2D display to 3D display. At present, the field of display technology is generally recognized that holographic display is the only display technology that can provide all the required depth and contain all the visual information.WiMi Hologram Cloud (NASDAQ: WIMI) has been committed to the research and development of digital holographic technology and has accumulated profound technical accumulation and diversified application solutions.
In the last decade, head-mounted displays (HWD) have received great attention due to the increasing popularity of augmented reality and virtual reality applications, and head-mounted display technology has also been greatly developed. However, most HWD is currently fixed focal length stereo systems, which leads to a mismatch between the focus and dispersion, the response of the eye viewpoint, thus becoming one of the main causes of viewing discomfort in current HWD technology.
WiMi Hologram CLoud In its first generation of WiMi Holo AR Lens products, an independent intellectual property optical degree and pupil distance adjustable optical structure system, innovative structural design greatly improves the viewing and wearing comfort of HWD. Current holographic display devices (HD) are not comparable to the human visual field of view (FOV), so the earlier solution was based on fixation point display, generating only computer digital holographic content (CGH) of the eye gaze object, and using low-resolution micro-displays to display peripheral images. The mobile microdisplay can be combined with the peripheral display of a wide field, with natural focusing and field presentation using light field or multifocal and zoom methods, directing FOV from one area to another through the use of motorized optical components, but the solution has synchronization between brake size and multiple dynamic components because the inability to use individual dynamic components to control FOV can lead to system complexity and cost.
At present, the mainstream technology of HWD, processing focus, and aggregation is the wavefront digital image issued by simulated 3D objects, which sends the computer digital holographic content (CGH) to the left and right eyes. Therefore, the user can directly focus their attention on the fixated 3D object, thus eliminating the discomfort caused by the cluster-divergence adjustment conflict. In holographic HWD, CGH is usually displayed on a phase-space light modulator (SLM). Such a display does not require relay optics, since the SLM can be imaged at any distance from the eye. However, because the current SLM has a limited number of pixels, the current HWD is still limited by the field of view (FOV) and EyeBox. The total number of pixels of the SLM sets an upper limit on the spatial bandwidth product (SBP) of the system. Because HWD uses binoculars, matching the human visual ability and comfortable viewing experience. People may need a FOV of more than 80 degrees and ultra-high pixel requirements, which leads to SLM beyond the capabilities of the technical framework.
WiMi Hologram Cloud (NASDAQ: WIMI) based on the current technical bottleneck in the field of the HWD industry, puts forward a new technology architecture, a kind based on holographic headset display technology after focus (Eye Movement Focus) new optical system, applied in the next generation holographic headset display (H-HWD) to provide HWD technology to users with a better visual experience. WiMi Hologram CLoud This novel optical architecture, in which the SLM is imaged at the rotational center of the eye. In this system architecture, the FOV is transiently controlled without using any dynamic optical components.
In traditional head-mounted displays (HWD), the FOV cannot be controlled by computer digital holographic content (CGH) (i.e., keeping the image at the center of the eye focus image as the eye rotation changes focus). As shown, the eye rotation causes the displayed image to move toward the periphery. The SLM or lens is mechanically moved to bring the image to the center of tye-focused imaging. WiMi Hologram CLoud, Ha olographic head-mounted display (H-HWD) imaging in the rotating center of the eye, eye-centered design, is the core of the eye-moving chase focus system architecture. Since the SLM is imaged in the center of rotation of the eye, the gaze direction is changed by changing the light direction by CGH, as shown in the WiMi Hologram CLoud focus system architecture, changing the direction of the light by adding the diffraction lens items and grating items to the CGH without any moving components.
Compared with the traditional holographic HWD architecture, WiMi Hologram Cloud eye chase focus system architecture centered on eye design is a significant advantage, just needs to modify CGH to track the focus, can be digital instantaneous FOV control, can remove mechanical parts, on the one hand, reduce the instability of mechanical parts, reduce the weight of equipment mechanical control end, eliminate the fault of mechanical control. The key is to achieve real-time tracking and digital control of the instantaneous FOV, provide a natural fixation point display without mechanical moving parts, and greatly improve the comfort of wearing and viewing of the holographic head-mounted display (H-HWD).
The key to preventing HWD from becoming the next-generation computer platform is the cumbersome device and the discomfort of long use. With the application of WiMi Hologram Cloud (NASDAQ: WIMI) based on HWD develops eye focus system, the comfort improvement of future holographic display (H-HWD) will provide a broader application space for holographic display H-HWD.
WiMi Build A New Enterprise Data Management System Through WBM-SME System.
Source
https://www.newstrail.com/wimi-build-a-new-enterprise-data-management-system-through-wbm-sme-system/
February 6, 2023
With the deepening of Internet technology digitization, the efficiency and productivity of small and medium-sized enterprises (SMEs) have also improved significantly in the past few years. Small business connections, access, exchange, add, and change transaction execution and their partners are also becoming inseparable. Data exchange, financial management, manufacturing and productivity collaboration, and privacy and security are also gaining attention from SMEs. With the rapid development and application of emerging technologies such as blockchain, artificial intelligence (AI) and industrial Internet of Things (IoT), our society is stepping into the era of Web3.0. With stronger ability of digital links, the global business environment has also changed the development model of small and medium-sized enterprises (SMEs). WiMi Hologram Cloud (NASDAQ: WIMI) combines blockchain, artificial intelligence (AI) and industrial Internet of Things (IoT) technology to develop data management systems for SMEs to help enterprises realize efficient, collaborative and intelligent processing of data.
With the trend of stronger links in the Web3.0 era, SMEs also faces many challenges. For example, the current distributed data management platform designed for SMEs has the data collaboration and link ability between platforms to ensure the data accuracy, integrity and reliability of enterprise operation, so that the data management efficiency is low and the data utilization is insufficient. In addition, data encryption protection and tamper-proof also need to be greatly improved. In the current SME data management, it is mostly based on the centralized server management mode, which also causes problems in data collaboration and data trust between two different enterprise partners. The reason for the centralized management of enterprise database infrastructure is also based on enterprise data security, privacy and data extraction efficiency, and necessity. Therefore, it is the core problem of enterprise data management to improve the efficiency and productivity of enterprises through intelligent analysis, and to revitalize the sleeping data. Based on this, WiMi Hologram Cloud develops an intelligent collaboration system for data management for SMEs, so that enterprises can enter a more efficient link collaboration in the Web3.0 era, so that enterprise data can be efficiently used and processed with enterprise data in any location in the world.
WiMi Hologram Cloud Using the collaboration technology of blockchain, Internet of Things (IoT), and artificial intelligence (AI) and machine learning (ML), it proposes a novel and efficient security framework with standardized processes, hierarchy, and task life cycle for distributed SMEs. A blockchain with a licensed less network structure that supports the Internet of Things are designed as a WBM-SMEs system to provide solutions for cross-chain platforms. The WBM-SMEs system also addresses authentication issues among lightweight partners.
To this end, three different chain codes were deployed. It handles the daily management and exchange of information between nodes of participating small and medium enterprises, analyzing the transaction details related to the exchange before saving the blockchain immutable storage. Use ML-based AI artificial neural networks to process and optimize the number of daily transactions for smes; therefore, WBM-SMEs systems consume less resources in terms of computing power, network bandwidth, and issues related to data preservation throughout the delivery of SMEs services. The advantages of WBM-SMEs system improve the speed of ledger management and optimization when exchanging information between different chains.
WiMi Hologram Cloud (NASDAQ: WIMI) WBM-SMEs system has several advantages in enterprise data and process management:
Efficiency and analysis:
It enables the current process between customers and enterprises to achieve efficient collaboration, for example, the mutual chain between manufacturing, production and research and development, including data collection, management and optimization, and the collection and analysis of digital technology through artificial intelligence, to help enterprises improve efficiency and provide detailed and favorable analysis.
Data security and transaction transparency:
standard process and the security, tamper-proof hierarchy ensures the information confidentiality, transparency and authenticity, WBM-SMEs system (support block chain and AI distributed framework) provides a platform, on the platform design, creation and deployment of distributed application (DApp), in order to achieve transparent trading environment. The SME-related processes can be automatically analyzed and processed, especially the transaction verification and confirmation, so that the two parties of the transaction partners can share resources.
Data and Services Lightweight:
A distributed public perensless network that integrates blockchain with AI technology provides a lightweight authentication mechanism that reduces the cost of computing resources and network bandwidth and storage.
The WiMi Hologram Cloud WBM-SMEs system hierarchy is an integrated blockchain and AI-supported framework, divided into three different parts.
- The first is the IoT process hierarchy designed to collect, examine, and analyze data or transactions generated by SMEs. After proper inspection, the WBM-SMEs system designed a schedule for the data transmission through a wireless sensor network and implemented a management hierarchy for managing daily transactions.
- Second, the AI part is divided into two parts, such as computational resource management and neural network algorithms. A lightweight authentication is created in the middle to provide the ability to grant access to each application request after distributed Application (DApp) authentication. New SMEs or corresponding registrations are processed by the Blockchain Distributed Ledger Expert (BDLE). BDLE is responsible for initiating new registration verification after a complete analysis of the received request and allowing the initiation of transactions in the chain and the exchange of details. Use AI-enabled machine learning algorithms (AI neural networks) to manage and optimize data. The process eliminates repeated data / transactions and organizes logs in sequence, while reducing the consumption of computing resources and the save load.
- Third, the blockchain-unlicensed public network (a peer-to-point network with node interconnection) is deployed together with two different communication chains under and on the chain. The two designed communication channels handle multiple transactions occurring in the chain, for example, application requests, node-to-node activity, operational control, external communications, and information exchange. For example, the chain receives internal transaction requests with hidden processing. On the other hand, underchain communication handles all explicit activities (off-chain / cross-chain platform). The main goal of a blockchain transaction processor is to schedule a list of transactions that is provided by external calculation and execution. The calculation load is reduced by calculating the hash value of the individual transactions occurring in the WBM-SMEs system. The Inter-Planetary File Storage System (IPFS) is used to store the logs of individual transactions that occur in the chain of WBM-SMEs. The purpose is to use this distributed immutable storage, as it can provide a ledger storage facility at the lowest cost, compared to other distributed storage. The main reason for its use is that it allows for a scalable and cost-effective hierarchy in a distributed manner.
WiMi Hologram Cloud (NASDAQ: WIMI) WBM-SMEs system has developed a classification mechanism that checks the redundancy in the data / transactions of SMEs and extracts the raw data, while discarding duplicates in the pre-validation process. This process facilitates computational resource management to reduce computational costs and submit validated data in the ledger for further processing. In order to use this ML technology in the WBM-SMEs systems, especially artificial neural networks (ANN), to manage daily transactions. In terms of analyzing the ledger, the implementation of ANN technology addresses data management, organization, and optimization issues. Found some new vulnerabilities in the distributed data management environment, such as data / transaction detection problems, and unstable identification of files in different nodes, to analyze these problems, WiMi Hologram Cloud built a data identification mechanism using machine learning and associated it with ANN, it can effectively extract models, detect, identify and classify SMEs data files and transaction information, connect to ANN to arrange for log processing, and minimize the risk of data capture / loss by providing large-dimensional space for classification.
Nowadays, Enterprises highly dependent on digital management, in the Web3.0 open chapter to provide more efficient stronger links, the development of small and medium-sized enterprises face many challenges and new opportunities, WiMi Hologram Cloud WBM-SMEs block chain, AI, IoT technology for small and medium-sized enterprises to build a encryption, tamper-proof, safe, convenient lightweight, intelligent for the integration of data management system for small and medium-sized enterprises into the Web3.0 era can assign, improve efficiency and productivity, to provide enterprises with more efficient intelligent digital management ability.
CloudMD Makes Mental Health More Accessible with Launch of Spanish Language TAiCBT in the United States.
Source
https://finance.yahoo.com/news/cloudmd-makes-mental-health-more-113000673.html
February 13, 2023
CloudMD Software & Services Inc. is pleased to announce the launch of its Spanish language therapist-assisted internet-based Cognitive Behavioural Therapy (“TAiCBT”) as part of its mental health offering in the United States. English and Spanish EAP and TAiCBT are delivered through CloudMD’s mental health brand Harmony Health in the United States. Spanish TAiCBT is being launched for many longstanding customers and for new clients like Venetian Resorts.
“A Spanish language option was one of the most requested features we have from our large U.S. employer customers. These businesses typically have a large diverse employee base and the requirement for multilingual support is key to successful employee engagement. TAiCBT also provides asynchronous support which reduces the need to make an appointment, a key barrier to care especially for shift workers. We know being able to meet patients where they are leads to better engagement, better health outcomes and ultimately higher ROI for the employer,” said Karen Adams, CEO of CloudMD. “One of the upsides we saw when purchasing MindBeacon was the ability to take their established, clinically proven TAiCBT content and launch in the United States in Spanish, a market with over 40 million people who speak Spanish at home. This is an example of us executing against our deal rationale and driving business synergies by merging our geographic reach with skills and technologies from acquired companies.”
Over 20% of adults in the U.S. experience mental illness. It is a large and growing problem, and with the average cost of therapy between $100 and $200 per session, there are barriers to receiving help. Innovative solutions like TAiCBT reduces the cost, eliminates barriers, and is often as clinically effective as traditional therapy.
For employers the return on investment is clear with 86% of employers indicating that mental health resources help increase employee retention. Preventative mental wellness programs have been shown to save between $2 and $4 dollars for every one dollar invested.
About CloudMD Software & Services
CloudMD is an innovative North American healthcare service provider focused on empowering healthier living by combining leading edge technology with an exceptional national network of healthcare professionals. Every day, our employees and health care providers live our values of deliver excellence, collaboration, connected communication and accountability to solve complex health problems. CloudMD’s industry leading workplace health and wellbeing solution, Kii, supports members and their families with a personalized and connected healthcare experience across mental, physical and occupation health. Kii delivers superior clinical health outcomes, consistent high engagement, and measurable ROI for payers such as employers, educational institutions, associations, government, and insurers. CloudMD is also a market leader in workplace absence management through data-driven prevention, intervention and return to work programs.
In addition, the Company sells health and productivity tools to hospitals, clinics, and other healthcare service providers to empower them to deliver better care.
Visit
https://www.cloudmd.ca/
to learn more about the Company’s comprehensive healthcare offerings.
ON BEHALF OF THE BOARD OF DIRECTORS
“Karen Adams”
Chief Executive Officer
FOR ADDITIONAL INFORMATION, CONTACT:
Investor Relations
Investors@cloudmd.ca
Form SC 13G - Statement of acquisition of beneficial ownership by individuals:SEC Accession No. 0001393825-23-000164
Source
https://www.sec.gov/Archives/edgar/data/1393825/000139382523000164/syta_13g.htm
Filing Date
2023-02-10
Accepted
2023-02-10 16:35:45
WiMi’s Researches On 3D Multiple Views Reconstruction Algorithm.
Source
https://www.newstrail.com/wimis-researches-on-3d-multiple-views-reconstruction-algorithm/
February 03, 2023
With the rapid progress of modern computer technology, computer graphics, image processing, and aided design multimedia technology are more widely and deeply applied in advertising, games, medicine, film and television, and other fields. People often need to quickly obtain the three-dimensional information of the object’s surface and transform it into data that the computer can directly process. The three-dimensional reconstruction technology based on computer vision has an irreplaceable critical role. Three-dimensional reconstruction is a process of analyzing and calculating different properties of objects in three-dimensional space, such as color, texture, reflection, and other information, restoring the shape and color of objects through computer vision technology, and simulating rendering in an agreed way in the computer. It is a widely used technology, and its perception, modeling, and interaction with the real world involve computer vision, digital image processing, digital geometry processing, etc.
WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) researches multi-view 3D reconstruction algorithms based on computer vision and artificial intelligence. The multi-view-based 3D reconstruction algorithm restores the object’s depth by calculating the 3D spatial position of the object image taken from different perspectives. It uses geometric constraints and feature-matching relations to find the corresponding feature-matching relation from the image to recover the spatial coordinate connection between the object and the camera and then carries out dense reconstruction to determine the position and orientation of each face. It integrates information from multiple images and has significant advantages in measuring three-dimensional objects and reconstructing highly realistic three-dimensional models. 3D reconstruction technology based on numerous views is increasingly applied in various fields, such as augmented reality, historical building modeling, etc. It has extensive application prospects in many areas.
The multi-view-based 3D reconstruction algorithm applied by WiMi mainly includes the following processes:
Feature point extraction and matching:
Feature point extraction and matching are essential modules in the process of reconstruction. Image feature point correspondence refers to the sparse pixel coordinate correspondence between images, a descriptor used to describe the content of a part of the image area. It is composed of multidimensional binary or real vectors and is generally obtained by extracting the gradient histogram of the part of the area. In computer vision, feature points are generally points with significant gradient changes on the image or the edges of objects in the picture. By matching feature points in the image, things can be recognized, or the scene’s location can be located.
The quality and accuracy of feature point extraction are particularly important, and the accuracy of feature point extraction will affect the quality of the corresponding position reconstruction model. The quality of feature points is mainly reflected in the accuracy of matching, distinguishing from different feature points, and easily matching features in the same position. However, there are apparent differences between other parts, so matching cannot be completed. In addition, it also needs invariance in various situations, such as rotation invariance, scale invariance, photometric invariance, and anti-interference ability to image noise, blur, image compression, and other factors.
Feature extraction and matching are the first steps in multi-view-based 3D reconstruction technology. In this process, the matching relationship between image pixels is established. Based on this step, the subsequent motion restoration structure algorithm can be carried out.
Motion recovery structure:
The process of motion restoration structure is mainly to extract the basic geometric information in 3D reconstruction, that is, to obtain the 3D position of the object seen and the pose of the camera from the 2D image sequence, and the focal length of the camera can be obtained from the incidental information in the picture or calibrated by itself. According to the theory of polar geometry, the relative position of the two cameras and the change in their orientation can be calculated through the feature-matching relation. Then, the feature points matched by the image can be triangulated to solve the depth of three-dimensional space points.
Multi-view stereo vision:
After the motion recovery structure, the pose of all cameras and the three-dimensional coordinates of objects recovered through image matching is obtained, namely, sparse point clouds. Multi-perspective stereo vision uses the information extracted from the motion recovery structure and the information in the under-utilized two-dimensional pictures to generate dense point clouds from sparse point clouds, making the news of the three-dimensional model more complete.
With the development of computer technology, 3D reconstruction technology has made significant progress and is usually used in many fields. WiMi’s multi-view-based 3D reconstruction algorithm has essential application value in navigation, virtual reality, augmented reality, mapping, medical treatment, and other areas.
WiMi’s XR-Based HCI System Offers A Multi-View Fusion Solution For XR Interaction.
Source
https://www.newstrail.com/wimis-xr-based-hci-system-offers-a-multi-view-fusion-solution-for-xr-interaction/
February 03, 2023
The Web 3.0 holographic spatial Internet concept has attracted much attention to the experience of interacting with virtual digital space. Wearable devices have also entered a phase of rapid development, and XR is increasingly mentioned. XR is a combination of real and virtual, human-computer interactive environments generated through computer technology and wearable devices, and is a collective term for AR, VR, MR, and others. It is also a key technology for the next-generation computing platform. Most of the existing XR technologies are based on the central perspective of the object for the immersion experience. When participants observe the same object at different locations, they often see the object form under the same perspective, lacking a full range of observation experiences for the object from different perspectives in the same space.
Moreover, the existing all-around observation method is to rotate around the object as the center point, which is a poor experience for the user, and the image needs a sense of incongruity. Based on this, WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) has developed a method and system for human-computer interaction based on XR technology to enhance the user experience and achieve the technical effect of changing the viewing angle at different positions. The integration of visual interaction technology allows for a seamless transition between the virtual world and the natural world as an “immersive” experience.
The XR-based human-computer interaction method and system of WiMi acquires a primary view image of the user, a secondary view image, and a configuration method and fusion mode between the primary view image and the secondary view image by collecting the user’s location and observation perspective. The user observation viewpoint includes a first-person viewpoint and/or a third-person viewpoint. The system constructs a multi-view fusion image based on the user observation viewpoint and the user location, based on the configuration method and the fusion mode, to provide the user with different viewpoint images.
The viewpoint images include a primary viewpoint image and/or a secondary viewpoint image. In the process of capturing the user observation viewpoint, the system acquires an interaction task by capturing user commands from the user based on the user’s location. Wherein the user commands comprise voice commands and/or action commands. In the process of acquiring the viewpoint image, the system acquires the viewpoint image based on the task type of the interaction task. Wherein the task type is used to indicate an imaging requirement of the user for the viewpoint image. Based on the imaging requirements, the system automatically acquires a configuration method and a fusion mode.
In the process of obtaining an interactive task, when the interactive task requires a high level of observation and perception ability in tight space and a low level of perception ability in far distance, the user’s observation perspective is the first-person perspective as the main perspective, and the multi-view fusion image is the main perspective image. When the interaction task requires average observation and perception ability in near and far space, the user’s observation perspective is the first-person or third-person perspective, and the multi-view fusion image is the main or auxiliary perspective image. When the interaction task requires a high level of observation and perception in both near and far space, the user’s viewpoint is the first-person view and/or third-person view as the main viewpoint, and the multi-view fusion image is a fusion of the main viewpoint image and the additional viewpoint image. When the interaction task requires less observation and perception ability in the near space and more perception ability in the far space, the user’s observation viewpoint is the third-person viewpoint as the main viewpoint, and the fused multi-viewpoint image is the secondary viewpoint image.
In the process when the interaction task requires general observation and perception ability for both near and far space, the auxiliary view image corresponding to the first edge of the main view image is obtained based on the first edge of the main view image, and the auxiliary view image is stitched with the main view image to generate the multi-view fusion image, in which the user switches between the main view image and the auxiliary view image through user commands.
In the process, when the interaction task requires high observation and perception capabilities for both near space and far space, the system acquires the second feature corresponding to the first feature in the secondary view image, based on the first feature of the primary view image, and fuses the image corresponding to the second feature, into the primary view image. In this case, the user acquires the second feature by selecting the first feature. In the process, when the interactive task requires high observation and perception capabilities for both near space and far space, the system acquires the fourth feature corresponding to the third feature in the auxiliary view image, based on the third feature in the auxiliary view image, and fuses the image related to the fourth feature, into the auxiliary view image. For example, the user can acquire the multi-view fusion image corresponding to the second and third features by selecting the first and fourth features.
WiMi’s XR-based human-computer interaction system includes an
- interaction task acquisition module,
- a data processing module,
- an image fusion module,
- a command acquisition module,
- a data storage module, and
- a data fusion module.
- The interaction task acquisition module is used to acquire an interaction task based on the user’s location. The interaction task is acquired by capturing user commands of the user, wherein the user commands include voice commands and/or action commands.
- The data processing module is used based on the interaction task. By acquiring a user location and a user viewing perspective, a primary view image of the user, a secondary view image, and a configuration method and fusion mode between the primary view image and the secondary view image, wherein the user viewing perspective includes a first-person view and/or a third person view.
- The image fusion module is used to base the user viewing perspective and the user location. According to the configuration method and the fusion mode, a multi-view fusion image based on the user’s observation perspective is constructed to provide the user with different perspective images, wherein the perspective images include a primary perspective image and/or a secondary perspective image.
- The command acquisition module acquires the user’s voice and action by capturing the user’s voice and movement. The user’s voice commands and action commands are acquired.
- The data storage module is used for storing the viewpoint images.
- The data fusion module is used to acquire view images of the same object from different users. Image fusion is performed based on the same features of each viewpoint image to generate a multi-viewpoint fusion image.
WiMi’s XR-based HCI system generates multi-view images according to the user’s location by collecting different commands from the user, and the user can observe multi-view images by switching between the main view image and the secondary view image or by selecting feature points in the image, which realizes the technical requirement of multi-view observation of the same object and provides a technical reference for users. The combination of XR generates multi-view fusion images that can be widely used in many new applications such as social, office, entertainment, exhibition, education, etc. This will provide a broad scope for the XR industry to give users multi-view fusion images from different locations, making the virtual world more realistic and the natural world more virtual simultaneously. It is to be expected that some realization of standard objects will be virtualized through a big data approach, which, when fused with the multi-view fusion solution mentioned by WiMi’s XR-based human-machine interaction system, helps users to carry out virtual reality fusion comparisons and provides a viable application solution for current objects such as defect detection and feature observation as well.
WIMI (NASDAQ:WIMI) develops a data mining clustering algorithm system based on artificial neural network.
Source
https://cj.sina.com.cn/articles/view/1704103183/65928d0f020032xz2?from=finance
February 03, 2023 11:20 Financial World Website
The amount of Internet data is growing explosively, the impact of data on social production and life is increasing, and the application of data mining technology is becoming more and more extensive. The data mining process is a repeated human-computer interaction process, which includes defining problems, establishing data mining databases, analyzing data, preparing data, establishing models, evaluating models, and so on. The main data mining algorithms include association analysis, sequential pattern mining, classification algorithms and clustering algorithms.
It is understood that WIMI Hologram (NASDAQ: WIMI) has developed a data mining clustering optimization algorithm system based on artificial neural networks. In cluster analysis, the data is divided according to certain rules. After the data is divided into categories, the similarity between the categories is small and the similarity within the category is large. The results of data analysis can not only reveal the internal connections and differences between data, but also provide an important basis for further data analysis and knowledge discovery.
WIMI's development of data mining clustering optimization algorithms based on artificial neural networks includes several methods:
(1) Partition method:
This method can find spherical mutually exclusive clusters, and the center of the cluster is represented by the mean or center point. This algorithm is suitable for clustering problems with a fixed number of clusters and small data sets. Through the random search strategy, large-scale data clustering has high efficiency and good scalability. Partition clustering algorithms are usually easy to parallelize and have been very active on big data processing platforms in recent years.
(2) Hierarchical method:
This method is based on the idea of ??hierarchical decomposition clustering, which performs hierarchical decomposition according to the similarity between data points, and generates a nested clustering tree with a hierarchical structure. The bottom-up hierarchical decomposition corresponds to the agglomerative method, and the top-down hierarchical decomposition corresponds to the split method.
(3) Density-based approach:
This algorithm can find clusters with different regular shapes without forcing the shape of the clusters to change. It is suitable for clusters with irregular numbers and random shapes, and has the advantage of reducing or even eliminating noise. It divides the area with sufficient density into clusters, and finds clusters of arbitrary shape in the noisy spatial database. According to the local density of the sampling points, the cluster is defined as the largest set of points with connection density.
(4) Grid-based method:
This algorithm clusters the quantized grid space, which is fast and has strong computing power. Divide the space into grids and perform analysis on the data on the grids.
(5) Model clustering:
Model clustering algorithms assume that data are mixed according to a specific probability distribution that strives to find the best fit between the data and a given model.
In this era of massive data, data mining is extremely important, its application is becoming more and more extensive, and its importance is becoming more and more obvious. As long as the enterprise has a data warehouse or database with analytical value and needs, it can carry out purposeful data mining and obtain valuable data.
While the clustering optimization algorithm can deal with data with multi-dimensional and irrelevant characteristics, the choice of clustering method directly determines the quality of data mining. In order to improve the quality of clustering, people continue to explore better clustering analysis methods.
The artificial neural network-based data mining clustering optimization algorithm developed by WIMI can automatically merge the clustering results with smaller granularity according to the preset warning value, thus effectively preventing unreasonable clustering caused by too many specified clusters. Class results occur. Artificial neural network has highly nonlinear learning ability and fault-tolerant ability to noisy data, and it has a strong ability to extract rule knowledge. Using artificial neural network model to process data and mine knowledge has very obvious advantages.
The coming of the Web 3.0 era is accelerating, WIMI (WIMI.US) strengthens the digital human + AIGC industry rises rapidly.
Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001fqz0?from=finance
February 03, 2023 11:19 Tongbi Finance
Web 3.0 is the third generation of the World Wide Web. Web 3.0 places a strong emphasis on decentralized applications, open to all (with a bottom-up design), and builds on the development of blockchain technology and the Semantic Web. Web 3.0 will also leverage machine learning and artificial intelligence (AI) to help power more intelligent and adaptive applications.
Web 3.0 envisions a world without centralized corporations, where people are in control of their own data, and transactions are recorded transparently on blockchains, or databases that anyone can search.
Characteristics of Web 3.0
Web 3.0 envisions a truly decentralized internet where connections are based entirely on peer-to-peer network connections. This decentralized network will rely on the blockchain to store data and maintain digital assets without being tracked. Decentralized applications (Dapps) are also developed based on this concept. A decentralized application is maintained not by a single server, but by a network of computers.
In addition, Web3.0 is closely integrated with immersive experience, which makes our life and work into a more immersive atmosphere. The Internet is evolving in the direction of decentralization, and Web3.0 is to realize the value delivery chain of "decentralization", "trustworthiness" and "immersion" in the process of information and value exchange. The interaction between people is no longer limited to time and space. condition.
Relying more on 3D vision and even the mobilization of touch and smell, people can achieve highly immersive interactions in virtual space. For example, people can design Web3.0 applications in the 3D shape of VR/AR and holographic projection. The immersive experience and the new business model brought about by decentralization may make the sharing of user experience and co-creation value reach optimize.
Continue to launch incentive policies
Industry insiders believe that Web 3.0 will be a fundamental technological change, covering various cutting-edge technologies such as the industrial Internet, chips, artificial intelligence, cloud computing, blockchain, big data, cryptography, virtual reality, and bioengineering. Some people believe that this fundamental transformation may take 25-30 years, but others believe that the transformation has already begun.
In terms of policy guidance, according to statistics from the Financial Associated Press, the Web3.0 policy declaration issued by the Hong Kong region also marks that the Greater Bay Area
https://en.wikipedia.org/wiki/Guangdong%E2%80%93Hong_Kong%E2%80%93Macao_Greater_Bay_Area
will become an important domestic Web3.0 industrial cluster. On the other hand, the market's understanding of the important role of Web3.0 in upgrading the traditional Internet and the innovation of the technical direction has gradually become clear, but the application direction is still in the exploration stage.
2023 will be the year when Web 3.0 continues to build momentum for take-off. With the rapid development of virtual reality (VR) and augmented reality (AR) technologies, more and more companies are actively investing in and adopting these technologies, and will They are integrated into today's Web3.0 technology. The popularization of VR/AR technology will bring more visual and interactive experience to the original Web3.0 technology, and create more application scenarios.
WIMI perfects the underlying technology + industrial reserves
It is understood that WIMI Hologram (WIMI.US), the first stock of Metaverse Holographic AR, has been seeking suitable business growth opportunities according to market conditions, and creating value for the company in a long-term and sustainable manner. Web3.0 is the vision for the future of the Internet, and WIMI has a Web3.0 underlying technology stack reserve, including VR/AR, cloud computing, artificial intelligence, digital twins/metaverse, etc. In view of the development and potential of the Web 3.0 market in recent years, WIMI is exploring the Web 3.0 business and intends to develop the Web 3.0 business, which will establish a more diversified business portfolio for the company, which is in line with the overall interests of the company.
At present, under the support of new technologies, WIMI has accelerated the transformation of the Web3.0 industry in terms of nature and experience under the background of multi-tech integration and innovation such as AR/VR and AI. Web 3.0 has become a bright future vision for all walks of life based on the Internet, and virtual humans are the vanguard of the deployment of Web 3.0. WIMI is currently focusing on virtual digital human technology research and development and IP incubation and operation. As a digital identity carrier, virtual human has become an indispensable key puzzle and scene entrance in the Web 3.0 world from the auxiliary role of "tool empowerment" in the Web 2.0 world.
In addition, WIMI has also explored the application mode of virtual human + AIGC, expanded the application field of metaverse technology innovation, explored more virtual reality application scenarios, and tried to make more breakthroughs in different industries, and its value is constantly evolving. In the new year, the WIMI Holographic industry chain will further enhance the independent control of core technologies, and help build a trusted foundation for the new world of Web 3.0 through deep integration with traditional information infrastructure such as communications, computing power, and cloud computing, and empower entities more deeply economy.
As the next stage of Internet development, Web 3.0 makes the Internet everyone's "My Internet". The beautiful design of Web 3.0 requires a solid security base and trusted connections. With the integration of blockchain and artificial intelligence, big data, Internet of Things and other technologies, typical applications will be established in industries such as finance, government affairs, and energy. Web3.0 enables everyone to become a creator, and brings opportunities for everyone to make money. Web3.0 business model + immersive experience will rewrite many industries.
At the same time, enterprises and brand owners, while attracting users' attention through innovative Web3.0 products and business models, are promoting the enrichment of Web3.0 ecology and the improvement of applications.
WiMi Develops The 3D Object Recognition Algorithm System Based On Deep Learning.
Source
https://www.newstrail.com/wimi-develops-the-3d-object-recognition-algorithm-system-based-on-deep-learning/
February 1, 2023
WiMi Develops An Endoscopy System For CPLD Based on Hologram Acquisition Technology.
Source
https://www.newstrail.com/wimi-develops-an-endoscopy-system-for-cpld-based-on-hologram-acquisition-technology/
February 2, 2023
The maturation of nanotechnology has led to the rapid development of microtechnology, MEMS (Micro-Electronic-Mechanical systems) technology, which has contributed significantly to the miniaturization of medical devices. This has led to the creation of medical optoelectronic micro-sensors. WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) is an AR-based holographic service and product provider. Focused on providing innovative interactive holographic AR experiences for its customers, WiMi develops a CPLD (Complex Programmable Logic Device) endoscopy system based on hologram acquisition technology.
WiMi’s CPLD wireless endoscopic system is based on a micro-electro-mechanical system. The system consists of various micro-sensors for sensing external digital information such as force, heat, and light, control actuators, signal processing, and communication interfaces, as well as control circuits and power supplies. The system integrates the acquisition, processing, and actuation of holographic digital information in a multifunctional microsystem.
The system consists of a host computer and a hologram acquisition endoscope. The hologram acquisition endoscope collects the original image. After compression and transmission, the compressed hologram digital image is transmitted to the host through wireless communication, the host receives the compressed data and sends it to the host system, and the host hologram restoration management software displays the hologram digital image.
The hologram acquisition endoscope is designed with a CPLD chip and has a high-precision CMOS lens for hologram acquisition and a data and address bus. It enables holographic lossless digital image compression and wireless data transmission, including purchasing and controlling system data such as pressure, temperature, and light sensing.
WiMi’s endoscopy system enables the continuous acquisition of holographic data and temperature, pressure, humidity, and light sensing control. The addition of holographic image data is the core of the system. The host control system sends commands, and the system management software sends the orders to the hologram acquisition endoscope via wireless signals. The CPLD writes the collected holographic data into multiple parallel memories and compresses them through the controller to improve the system’s holographic high-precision image transmission efficiency. The host management software sends instructions to receive the lossless compressed digital content, decodes the compressed digital images, and displays the 3D holographic endoscopic graphics.
The high volume and relevance of data from hologram acquisition technology require redundant lossless data compression. The high image quality requirements in the medical field necessitate the use of lossless compression algorithms. Through WiMi’s holographic digital content compression and processing system, coding redundancy, spatial redundancy, temporal redundancy, and uncorrelated information are removed to solve the coding redundancy caused by the word code in digital content being larger than the optimal coding to form entropy, spatial redundancy caused by correlation between adjacent pixels in digital content, temporal redundancy caused by the existence of a correlation between different frames in the digital content sequence, different color or spectrum brought redundancy caused by correlation between other structures in a sequence of digital content, spectral redundancy caused by different colors or ranges, etc., to optimize data results.
This allows us to increase transmission speed and performance time significantly. Then lossless restoration is performed to provide a high-fidelity repair of the endoscopic hologram data. The addition of various sensor data allows doctors to have a more intuitive and comprehensive understanding of the patient’s profile, improving their judgment of the disease and giving a proper treatment plan.
WiMi Develops A Highly Concurrent IoT Platform Based on Realtime Visualization of Big Data.
Source
https://www.newstrail.com/wimi-develops-a-highly-concurrent-iot-platform-based-on-realtime-visualization-of-big-data/
February 1, 2023
With the development and advancement of AI and IoT technology, various fields such as cities, water, transportation, manufacturing, cars, health, and homes have been connected to IoT systems. Thanks to emerging applications such as voice recognition and image sensing, all aspects of cities can be improved through digital transformation, sustainability, resource management, quality of life, and security. Massive deployments of intelligent devices and sensors can sense, collect and process vast amounts of data. The advent of the Internet of Everything has generated massive amounts of data that needs to be collected, stored, displayed, and analyzed, posing new challenges to the data processing capabilities of IoT systems.
WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) develops a concurrent IoT platform based on real-time visualization of big data using IoT platform software and data visualization software to solve the application and challenges of IoT big data in the industry. WiMi’s IoT platform uses cloud processing to solve IoT data transmission, real-time sensing of massive information, processing capacity, and other technical issues. It supports the front-end of different application areas, multiple communication channels, and multiple communication protocols of large-scale sensing devices with high concurrency access, management, real-time, parallelized transmission and processing of massive collected information, and provides the standard format of high-quality data support for back-end business applications.
WiMi’s IoT platform has a built-in, easy-to-use but powerful logic editor that allows developers to edit complex control logic for their IoT systems. It enables data updates, device status queries, timed hardware system control, timed short messages, and complex system control based on various variables that trigger a complex control strategy. The platform is well adapted to the migration of software development platforms and changes in software architecture, making full use of existing resources, enabling developers to focus better on the business logic and improving development efficiency. WiMi has incorporated data reception, exception capture mechanisms, data filtering modules, device identification modules, data storage modules, and other functions into the platform’s design, enabling the receiving, filtering, and storing. This dramatically reduces the coupling between the business and data layers, improves the scalability and maintainability of the system, and increases the development efficiency of the system.
WiMi’s IoT platform uses powerful data modeling software to address massive data collection, storage, governance, analysis, and other capabilities. By collecting, storing, governing, and intelligently analyzing data, the platform combines data modeling software to provide users with the information they need to make better business or personal decisions and can indicate potential problem areas.
Based on data visualization technology, the platform helps companies to achieve intelligent management and operations and improve operational efficiency through data visualization displays that uncover the more profound value of data in its most intuitive form. Data visualization and analysis tools can be presented through images, tables, and other forms according to different scenarios and different needs of users. Even 3D visualization is used to realize the 3D virtual simulation of natural scenes to show more visualized data in a richer form, making the data more precise and flexible to reflect its value.
The Internet of Things generates a large amount of big data that can be used for real-time monitoring, analysis, process optimization, predictive maintenance, etc. WiMi’s IoT platform, based on real-time visualization of big data to solve the problems of device connectivity, data collection, data storage, data governance, data analysis, and data visualization in the application of IoT big data in the industry and to realize the IoT big data in the industry application logic. In the future, in the era of IoT and big data, the value of data is increasingly prominent, and in the face of data generated anytime and anywhere, enterprises need safer and faster ways to store and manage data.
WiMi Develops Data Algorithm Software Based On Big Data Internet Technology.
Source
https://www.newstrail.com/wimi-develops-data-algorithm-software-based-on-big-data-internet-technology/
February 1, 2023
With the rapid development of Internet technology and the Internet of Things, network services and applications are creating a large amount of big data. These data sets need to be processed, stored, retrieved, and analyzed, and the demand for data is increasing. At the same time, the Internet of Things equipment has mobility and requires sufficient data processing performance, which also poses new challenges to big data processing algorithm technology.
WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) develops data algorithm software based on big data internet technology for big data processing of Internet of Things devices. The algorithm software uses Lambda architecture designed for big data processing, which makes computing resources easier to access, provides a flexible computing environment, enhances data display ability and optimizes resource allocation, and can be widely used in the Internet of Things, Internet of Vehicles, etc. The Lambda architecture of big data takes advantage of both stream and batch processing when processing large-scale data. Provide comprehensive and accurate data through batch processing; Provide low-latency data through stream processing to balance latency, throughput, and fault-tolerance; Finally, the results of batch processing and stream processing are combined to realize the real-time downstream query.
Lambda architecture is divided into three layers, which can simultaneously support mass offline and real-time data processing.
The three layers are designed as
- the Batch Layer,
- Speed Layer, and
- Serving Layer.
The Batch Layer is used to batch process all data, batch process all data through pre-calculation, and generate different Batch Views. The pre-calculation process will set different time intervals according to different businesses. The speed Layer is used to support Lambda architecture’s real-time data processing process. It is specially used to monitor data changes, process incremental real-time data, and generate Real-time Views for data calculation. The serving Layer is used to respond to the user’s query request. It combines Batch Views caused by the Batch Layer and Real-time Views generated by the Speed Layer to provide users with the final results of the query. Lambda architecture processes batch data and incremental data, respectively, through the idea of hierarchical design to meet the requirements of the real-time query.
Based on Lambda architecture, WiMi’s software, combined with the application of fog computing, further enhanced the system’s ability to batch process data and visualize big data processing. The fog calculation function enables the data to be collected from the underlying data source, and the original data in various formats enter the big data platform, and then go through the data components for preprocessing (collection, classification, etc.), and then split the data into two lines for calculation. One line is to enter the streaming computing platform to calculate real-time indicators; The other line enters the offline computing platform for batch data processing to calculate relevant business indicators. Finally, real-time and offline data will be combined to provide a full indicator data display.
Fog computing is a system-level multi-level architecture from cloud to Thing, with multiple functions such as distributed computing, communication, storage, control, and networking. With the rapid development of artificial intelligence and the Internet of Things, cloud data centers need help to efficiently meet the requirements of processing massive data. Fog computing can process and store data that does not need to be placed on the cloud directly at the network edge layer, improve the efficiency of data analysis and processing, reduce the delay, reduce the pressure of network transmission, and improve security. The fog calculation uses data in a vision-based way, and through in-depth computer learning, it can effectively collect practical information and eliminate invalid data. It supports high mobility, enabling direct communication between network edge devices, and the communication signal does not need to be uploaded to the cloud or go around through the base station, reducing the information transmission distance.
The development of the Internet of Things and big data has brought obvious convenience to people’s lives. With the maturity of the big data algorithm, WiMi Hologram Cloud, Inc. (NASDAQ:WIMI), based on the significant data internet technology data algorithm software, will be widely used in the data processing of all kinds of Internet of Things applications, realizing the organizational structure and decision-making mechanism of the intelligent Internet of Things that is more and more convenient and closer to human society, and providing the Internet of Things world with accessible and ubiquitous smart services.
WiMi Develops An Interactive VR Holographic Imaging System Based on AI.
Source
https://www.newstrail.com/wimi-develops-an-interactive-vr-holographic-imaging-system-based-on-ai/
January 31, 2023
Holographic technology is increasingly used in medicine, health, education, visualization, virtual manufacturing, architectural design, remote control, space technology, entertainment, and many more. Virtual reality, augmented reality, and mixed reality are changing how people perceive the digital world. However, real-world environmental scenes are dynamic.
To better simulate the realities of the world in the digital world, WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) has developed an interactive virtual reality holographic imaging system based on artificial intelligence technology. The system uses artificial intelligence technology to empower virtual reality, improve content quality, optimize and advance the personalized user experience, facilitate more effective interaction between users and technology, and provide users with more realistic virtual reality holographic imaging.
WiMi’s imaging system uses AI to apply to the holographic imaging process. AI dramatically improves the operational efficiency of holographic imaging, such as tracking objects, creating 3D world models, learning model features, and judging them. Deep learning models using AI can help holographic imaging systems to interpret complex environments, apply more realistic models in holographic imaging systems and give users more significant situational interaction, thus optimizing the immersive experience of holographic imaging. Artificial intelligence will help drive the adoption of immersive technology in the consumer and commercial sectors.
AI-based VR holographic imaging circumvents many of the problems associated with coherent imaging systems by applying deep learning to holographic imaging modalities and takes full advantage of its own holographic imaging modalities. The system achieves holographic image phase recovery, phase unfolding, super-resolution, and sensing by supervised optimization of a deep CNN (convolutional neural networks) using accurately aligned image data. CNNs typically contain tens to hundreds of layers of convolutional kernels (filters), bias terms, and non-linear activation functions. The convolutional kernels, bias terms, and non-linear activation functions in a CNN are first trained and then used to perform a predefined image reconstruction task by performing a forward pass through the network to reconstruct an artificially intelligent computed hologram. This reconstruction process typically takes a fraction of a second to complete when using the GPU, without any iterations, manual tuning of any hyperparameters, or refinement of the physical assumptions made about the image reconstruction model. This non-iterative, single-forward propagation reconstruction capability constitutes one of the main advantages of deep learning-based imaging solutions.
The more data collected in an AI-driven holographic imaging system, the more realistic the reconstructed virtual environment is likely to be. Higher-quality data can produce an equally higher-quality environment or even create a more personalized environment for the user. The virtual worlds depicted in the “metaverse” are complex, and building them is not simple. CNNs can process complex images and learn and predict by setting up scalable data pipelines that can help AI deep learning models continuously train, improve models, and optimize the user experience.
In the future, AI is expected to be the engine that drives the holographic industry forward. WiMi will further research the use of artificial intelligence technology applied to interactive virtual real-world holographic imaging systems while integrating holographic interaction technology to render virtual objects in natural scenes or put real things in virtual scenes to make holographic imaging more realistic.
WiMi Develops High-Performance Software For the Holographic Distribution Algorithm.
Source
https://www.newstrail.com/wimi-develops-high-performance-software-for-the-holographic-distribution-algorithm/
January 31, 2023
A holographic database is fully capable of storing all spatial object information. In the future, both digital twin intelligent cities and the development of virtual reality applications will require a database that can store and manage 3D spatial objects. WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) has always been committed to the development of holographic technology, actively exploring the establishment of holographic database standards, data format standards, holographic engine display standards, query methods, and other database technologies so that holographic data can be easily used, and holographic database can improve the development efficiency of holographic applications.
WiMi Hologram Cloud has developed high-performance database software based on a specific holographic data distribution algorithm. This software mainly aims at detailed holographic data and uses distribution algorithms to realize high-performance database calls.
The high-performance database software based on the specific holographic data distribution algorithm of WiMi Hologram Cloud allows local control of its data in different areas. For example, global data can be entered, queried, and maintained locally. At this time, because the computer resources are close to the user, the communication cost can be reduced, and the response speed can be improved, while the data involved in the database of other sites is only a tiny amount, which can significantly reduce the amount of information transmission on the network; The security of local data can also be improved.
WiMi Hologram Cloud’s high-performance database adopts the autonomy of distributed site local DBMS so that most local transaction management and control can be solved locally. Only when data from other sites are involved must it be managed through the network as a global transaction. Distributed DBMS can be designed to have different degrees of autonomy, from sufficient site autonomy to almost complete centralized control.
Distributed systems have higher reliability and better availability than centralized systems. For example, because the data is distributed in multiple sites and there are many replicated data, the failure of individual sites or individual communication links will not cause the collapse of the entire system, and the local failure of the system will not cause the global loss of control. If the accessed data is in the local database, it can be executed by the user’s computer, which is fast.
Distributed database technology is used to develop global applications based on several established databases, and some changes are made to the original local database system to form a distributed system. This is simpler than rebuilding an extensive database system. It saves time, money, and material resources. The existing distributed database system can also rapidly expand by increasing the number of sites.
With the establishment and use of high-performance database software based on the specific holographic data distribution algorithm of WiMi, its consistent data will be more extensive, and the data distribution algorithm will significantly improve the performance of the database. In the future, holographic databases will not only include geographic data, satellite, and aerial image data, two-dimensional vector data, urban panoramic three-dimensional data, high-precision streetscape data, etc.; They can also include tourism, business, industry, and other information. The holographic database will use the panoramic data collected by satellite, aerial tilt remote sensing, and other technologies to provide users with multi-dimensional map data services and industry solutions such as high-precision street view, urban panoramic 3D, and electronic navigation maps.
WiMi Develops Remote Control System Based On Human-Computer Interaction.
Source
https://www.newstrail.com/wimi-develops-remote-control-system-based-on-human-computer-interaction/
January 30, 2023
With the concept of “intelligent manufacturing,” “Industry 4.0,” and “industrial Internet” put forward, related research has become hot. The transformation and upgrading of digital and intelligent factories are also in full swing in the manufacturing industry. At present, many digital factories urgently need advanced human-computer interaction means to realize remote status monitoring, operation, and maintenance of equipment, to help them learn digital transformation and upgrading.
The development of virtual reality and 5G technology has injected new technical elements into human-computer interaction and remote control technology. With the continuous development of the digital economy, human-computer interaction and remote control based on traditional technology can no longer meet people’s needs. People need to build a system with realistic visualization effects, natural interaction with virtual scenes, and remote equipment control in a virtual reality environment.
It is said that WiMi Hologram Cloud Inc. (NASDAQ: WIMI) combines virtual reality technology, human-computer interaction technology, and remote control technology to develop a human-computer interaction and remote control system of equipment to achieve human-computer interaction and remote control in virtual reality scenarios.
Virtual reality technology can provide a new way to view and manipulate three-dimensional data and add technical power to human-computer interaction and device remote control systems. It allows users to enter the scene built by a computer graphics system and interact with virtual objects. Virtual reality technology involves model building and 3D display, human-computer interaction, wearable sensors, machine learning, and other technology fields. The use of virtual reality technology can provide users with sensory experiences, including vision, touch, hearing, and even smell, so that participants have a strong sense of being there. The virtual reality system collects and captures the user’s motion state information in real-time, thus generating corresponding images and projecting them to the user’s eyes. This technology integrates the latest development achievements of the 3D display, simulation, machine vision, machine learning, parallel processing, and other technologies. It is a high-tech simulation system assisted by computer technology.
The human-computer interaction and equipment remote control system developed by WiMi solves the data acquisition, model construction and display, human-computer interaction, safety control, and other problems that the human-computer interaction and equipment remote control system need to solve in the virtual reality environment. It constructs a complete set of human-computer interaction and equipment remote control systems in the virtual reality environment.
(1) Build the data acquisition system of the system.
The data acquisition system provides data feed support for the system. The state information of various equipment in the field is obtained through the data acquisition system, according to which the virtual model is driven, and the data acquisition method of equipment motion information is obtained indirectly with the help of visual markers.
(2) Complete real-time scene construction and 3D display.
The acquired field equipment data is presented in 3D visualization, including real-time construction, fast loading, dynamic motion, accurate virtual synchronization, and other problems. Finally, the realization scheme of the 3D display and the interactive scheme in the virtual reality environment are studied.
(3) Build a low delay and safe remote control system, and realize the hardware and software connection between the design and the controlled equipment.
In the virtual reality system, the operation instructions generated by the UI interface are sent to the terminal device through the remote control system and are executed.
(4) Conduct system integration and test for the established system module.
This part uses a data cache file to realize the connection between system modules. Finally, the system and its modules are tested to complete the construction of the system.
The development of machine vision, virtual reality, remote control, and other technologies provides good technical support for constructing human-computer interaction and remote control systems of equipment in the virtual reality environment.
New technologies such as virtual reality and 5G communications are expected to be applied to digital production and manufacturing. However, integrating such a complex system that combines software, electronics, and mechanical disciplines also requires the optimization and improvement of various technologies. WiMi uses vital technologies such as man-machine data acquisition, real-time scene modeling, 3D display, and low-delay safe remote control to develop man-machine interaction and equipment remote control system in a virtual reality environment, which further improves man-machine interaction experience and remote control efficiency, and is of great significance for further enhancing the automation and intelligent development of intelligent factories.
WiMi Develops A Highly Reliable SSR System Based on Multi-feature Signal Perception.
Source
https://www.newstrail.com/wimi-develops-a-highly-reliable-ssr-system-based-on-multi-feature-signal-perception/
January 30, 2023
As time goes on, human-computer interaction is no longer limited to keyboard input and joystick operation but is taking on more innovative forms, such as finger movements, the vibration of sound waves, and the rotation of the eyeballs and tongue. These movements allow for the transfer of information and the “dialogue” between humans and machines. As technology continues to evolve, organic user interfaces:
- biometric sensors,
- skin displays, and
- even direct connections between the brain and computers, are beginning to emerge and will undoubtedly have a significant impact on human life.
This will undoubtedly have a substantial impact on human life. Recently, WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) announced a highly reliable silent speech recognition system based on multi-featured signal sensing technology. Through silent reading or body movement recognition, the system can convert electrical signals from body movements or vocal cord movements into speech, allowing the system to decipher what a person is trying to say without the user having to give voice commands, thus enriching the human-computer interaction scenario of “machine understanding human language.”
Current voice recognition technology is a hands-free interface mode for VR applications, but it has several drawbacks, such as limited usability in noisy environments or public places and limited access for those who need to speak loudly and clearly. The system developed by WiMi enables SSR (silent speech recognition) by using either limb movements or fEMG (facial electromyography) in a holographic AR environment. Holographic EMG signal data or vocal fold vibration signal data presented by a person’s face or limbs are first captured, and then the two types of data captured are pre-processed separately. After feature extraction and fusion, deep learning is used to perform recognition and finally send the recognized command results to the receiving or controlled device.
To improve the system’s accuracy in classifying signals recorded at greater distances, WiMi developed a deep neural network-based classification method using an SSR system with fEMG in a holographic environment. The technique uses similar fEMG data previously collected from other objects, which is then transformed by holographic dynamic position distortion. When a person is speaking or thinking silently, the vocal-related limb muscles are influenced by the brain’s output nerves to produce different states of activity corresponding to the other content the brain wants to represent. The system acquires information from the brain by capturing surface EMG signals from the limb or vocal muscles and processing and recognizing them to perform voiced or unvoiced speech recognition. For feature recognition, the system uses independent CNN (Convolutional Neural Networks) to learn the features of each channel signal.
The developers have designed three structures:
- a one-dimensional convolutional network,
- a two-dimensional convolutional network, and
- a parallel convolutional network, configured the network model parameters, and optimized the network model structure.
For machine learning, the system uses Support Vector Machine, Random Forest, k-Nearest Neighbor, and Hidden Markov Model methods and continuously optimizes the model parameters during training and recognition. The model parameters are continuously optimized during training and recognition.
WiMi’s highly reliable SSR system based on multi-feature signal perception technology achieves silent speech recognition by combining holographic visual information and facial or limb electromyographic information to promote further development of speech recognition technology and expects to provide new ideas and methods for the current speech recognition field.
A WAY SPORTS BRANDS CAN LEVERAGE AR, VR, AND XR IN 2023.
Source
https://www.hypesportsinnovation.com/sportstech-blog/5-ways-sports-brands-can-leverage-ar-vr-and-xr-in-2023/
By HYPE Sports Innovation - January 25, 2023
Sport Tech Founder share insights on ways sports brands can implement AR, VR, and XR technology to generate new revenue streams.
AR WILL DELIVER AN EXPERIENCE & CAMPAIGNS THAT CAN BE INSTANTLY CREATED AND ACCESSIBLE TO FANS OF ALL AGES ESPECIALLY YOUNGER AUDIENCES WITH MOBILE DEVICES.
Alen Paul Silverrstieen – CEO & President, ImagineAR
Augmented Reality provides dynamic digital engagement to all audiences for any brand looking to embrace innovation by leveraging the latest technologies. Using AR technology, brands can deliver instant elements at home, at the venue, or globally by featuring influencers like they are right next to them and sharing them via mobile phone on social media. AR can even provide strong levels of gamification as we have previously seen with trends like Pokémon-Go which was very popular with the younger audiences.
Augmented reality creates new content that can be monetized by brands and their sponsors that are looking beyond display ads and are looking to increase data information. It creates solutions on a mobile phone starting with new sponsor-able fan experiences. It can combine data and a brand’s IP including color, marks, and logos, influencers, NIL all of which will lead to getting the attention of any sponsor.
ImagineAR is an AR-as-a-Service self-publishing platform for the sports and events industries.
Image provided by ImagineAR
S-8 1 ea171733-s8_wimihologram.htm REGISTRATION STATEMENT.
As Filed With the Securities and Exchange Commission on January 26, 2023 - Registration No. 333-
Source
https://www.sec.gov/Archives/edgar/data/1770088/000121390023005325/ea171733-s8_wimihologram.htm
Push-to-Talk Over Cellular Market 2022: Industry Size, Regions, Emerging Trends, Growth Insights, Opportunities, and Forecast By 2030.
Source
https://www.marketstatsville.com/push-to-talk-over-cellular-market
What are phantom shares and naked shorts? | Thornton McEnery: MarketWatch
During the GameStop short squeeze in 2021, the number of shares borrowed to short exceeded the number of shares of the company’s stock in existence. The situation raised eyebrows on Reddit and even Congress, because the appearance of shares that don’t actually exist is often a clue of a securities fraud known as “naked shorting". But what is naked shorting? And what are phantom shares? Thornton McEnery is here to explain both for you.
New: https://siyata7.com/
The SD7 by Siyata - a next generation, game changing, cost effective, mission critical ptt over cellular device.
CrisisGo & Siyata SD7
https://www.crisisgo.com/siyata
Next-Gen Panic Button with Push-to-Talk
The Siyata SD7 when paired with CrisisGo's school emergency safety platform, combines the best of both worlds, a panic button with two-way communication capabilities that will make all other panic buttons obsolete.
WIMI Effectively Solve The Problem Of Information Silo With Its Data Interaction System.
Source
https://www.newstrail.com/wimi-effectively-solve-the-problem-of-information-silo-with-its-data-interaction-system/
January 20, 2023 Time: 7:53 am
With the continuous improvement and development of the scale and technology of the information system, the degree of information technology is constantly improved, and the construction of information technology has been vigorously promoted. The number of information technology applications in various enterprises is constantly increasing, and the data exchange between applications is becoming more and more frequent. However, due to the different periods of the application system or the use of various technologies in the enterprise, the data source in each application system becomes the “information island” that cannot interact directly. How to provide solutions for the sharing and system integration of various data and information in the enterprise, provide global data view, global data authority view, and perfect data exchange service for the application system in the enterprise, solve the problem of “information island” in many application systems in the enterprise, and enable various data resources to interact between the application system has become a difficult problem.
WIMI Hologram Cloud INC. (NASDAQ: WIMI) integrates data mining technology and neural network topology visualization technology to develop a data interaction system, which meets the requirements of real-time data interaction, realizes flexible configuration of data interaction, and effectively solves the problem of “information island”. In addition, it uses encryption and redundancy checksum technology to realize secure and reliable information transmission, ensuring the integrity, accuracy, reliability, and security of the data interaction process.
Data mining is a hot topic in the field of artificial intelligence and database, which is the integration of database technology and artificial intelligence technology. The so-called data mining refers to the process of mining valuable and useful information from a large amount of data in the database, and the process of searching for hidden information from the massive data through the algorithm. At present, data mining has developed a set of mining models covering association, classification, clustering, and so on.
The whole process of data mining is as follows:
- (1) Data cleaning:
Original data used for knowledge discovery in practical applications are usually incomplete. Except for special applications such as outlier analysis, noise should be eliminated, inconsistent data should be deleted, abnormal and wrong values should be corrected, and uncertain or incomplete values should be completed.
- (2) Data integration:
combining data from multiple sources and different forms into one data.
- (3) Data selection:
Extract and analyze data related to the task from the database.
- (4) Data conversion:
data is converted and unified into a form suitable for mining through aggregation operations.
(5) Data mining:
As the most important step in the whole process, it is the most core operation, using automatic and intelligent methods to extract data patterns.
- (6) Pattern evaluation:
Patterns of knowledge screening according to specific interest measures.
- (7) Knowledge representation:
visualization and knowledge representation techniques are used to display the mined knowledge to users.
In data mining, WIMI uses neural network technology to classify and analyze data. The neural network has the following advantages:
- firstly, it can tolerate noise;
- Second, it provides high precision for complex nonlinear mapping.
- Third, it can be implemented on parallel hardware and has a high degree of maintainability,
- fourth, it can be easily updated with new data, and can be easily automated.
At present, the neural network has been widely used in image recognition, segmentation, speech recognition, and other fields. Using the training method of simulating human brain information transmission, the network structure can be fundamentally changed and better training performance can be obtained. The visualization of neural network topology presents the connection relationship of network nodes in the form of graphic images composed of points and lines, which can clearly and intuitively reflect the operating status of the network, assist people to evaluate, forecast, and analyze the network nodes, links, and other aspects, and effectively understand and understand the internal information, rules, and changes of the network.
Through the extraction of network topological structure features and geometric mapping, users can observe and analyze the drawing results to complete visual reception. For time-varying data, the time-varying evolution process of network structure can be shown through animation simulation and other expressions, to help users think and conclude, build a basic understanding of the timeliness of network data, and optimize the drawing results through continuous iterative interactive feedback. With the help of other hardware auxiliary devices to improve users’ cognition of the potential information characteristics and rules of large-scale complex network data.
In addition to visual presentation, WIMI’s data interaction system based on data mining and neural network topology visualization can also achieve user interaction. Interaction is a process in which users manipulate and understand data through dialogue and interaction with the system. The interactive operation effectively alleviates the contradiction between limited visualization space and data overload, helps expand the space of information expression in visualization, and solves the gap between limited space and data volume and complexity. At the same time, interaction can enable users to better participate in the understanding and analysis of data, help users explore data, and improve data cognition.
With the development of the Internet, the visualization technology of network topology develops vigorously. With the development of graphic computing and virtual reality and other emerging technologies, the research on the visualization technology of network topology has made great progress. It also has a wide range of application prospects in the aspects of network topology analysis, security situation awareness, management, and Internet modeling.
Data mining is a multidisciplinary technology. The use and combination of related algorithms and technologies vary according to different application scenarios and needs. The application of the interpretability of neural networks in data mining will also become a valuable research direction, and the theoretical research will ultimately serve specific needs and applications. How to combine the two in the application needs to be explored continuously in the future. WIMI will also conduct further exploration in this field and strive to make breakthroughs, to have a far-reaching impact on the improvement of social and economic benefits.
WiMi Upgrades The Digital Cloud Platform By its Virtual Imaging Model Design System.
Source
https://www.newstrail.com/wimi-upgrades-the-digital-cloud-platform-by-its-virtual-imaging-model-design-system/
January 19, 2023 Time: 7:27 am
Digital twins are virtual copies of real physical systems. Virtual entities and entities are connected through data exchange. Through this connection, the real-time dynamics of entities can be monitored. The digital twin platform uses the massive system state data obtained by the sensor network to synchronize the physical system with the digital model in the digital space; Taking the data as the driving force, the twin model is constructed, and then the deduction process of the physical system is simulated in the digital space; Furthermore, the twin system can be inferred and predicted in digital space, and effective information can be obtained by combining sensing technology, which will react on physical entities to provide support for their intelligent decision-making and efficient operation.
With the progress of holographic technology and the expansion of in-depth applications, WiMi Hologram Cloud INC. (NASDAQ: WIMI) has developed a model-building design system for virtual imaging digital 3D modeling, which is applied to the digital twin cloud platform to provide more sophisticated digital building services for smart cities, smart industries, and other fields.
The model building and design system of WiMi Hologram Cloud Virtual Imaging Digital 3D Modeling adopt the point cloud modeling method and converts the point cloud data into 3D grids by importing it into the digital environment for editing and other operations. The three-dimensional point cloud modeling method can provide more dimensional and rich data for the system, integrate artificial intelligence technology for in-depth mining and understanding, and help developers more keenly capture the real subtle changes of people, objects, and scenes, extract key data, learn internal knowledge logically, and realize the perception and understanding of complex scenes.
Compared with traditional 3D models, 3D point cloud technology is not constrained by artificial modeling surface equations and surface continuity. It can restore any complex geometric object with high accuracy and convenience, and present finer details and sharper edges. The point cloud-based 3D modeling method can quickly build a highly realistic 3D model directly from the discrete points on the object or space scene surface, which greatly reduces the threshold of 3D content creation and improves the modeling precision and speed.
The WiMi Hologram Cloud R&D team combines 3D models with real-time data to describe the actual situation of the physical world, so as to build a digital twin model. A one-to-one virtual body can be reconstructed in cyberspace through the digital and real-time perception of real entities and elements. From 3D model to digital twin model, WIMI 3D modeling system enables the digital twin cloud platform to realize digital, information, and intelligent technology transformation and complete the upgrading of data, information, and knowledge service requirements. In the digital transformation of various industries in society, a digital twin is a fast and effective tool. It is a thorough, all-around, and systematic digital twin for the complex systems in the modern physical industry so that the entire physical industry is in a completely digital, intelligent, and information-based intuitive state, and the industrial metaverse is realized.
The WiMi Hologram Cloud INC. (NASDAQ: WIMI) R&D team has always adhered to the high-quality innovation and development of 3D modeling technology, and constantly improved its system’s ability to adapt to various complex environments for fine, real-time, intelligent, automatic, and low-cost 3D modeling. At the same time, it is also actively exploring to continuously enhance the digital twin technology in multi-source real-time data fusion The supporting role and engine role of association analysis and intelligent mining provide a more robust digital twin platform for data-driven, model-driven, knowledge-driven collaboration, comprehensive perception, accurate diagnosis, and reliable prediction.
WiMi Developed The Three Dimensional Holographic Brick Unit Display System.
Source
https://www.newstrail.com/wimi-developed-the-three-dimensional-holographic-brick-unit-display-system/
January 18, 2023
The development of science and technology is changing the way we interact with digital media and the world around us. 3D holographic images and augmented reality technology have changed our way of knowing things in the real world, and we have seen scenes in entertainment, advertising, education, and other fields that we have never seen before. The 3D display can let people experience a super “real” visual feast that breaks through the virtual boundary in real life. The “3D display” commonly used in cinemas is a two-way display, which is actually the superposition of two two-dimensional planes. In this regard, WiMi Hologram Cloud INC. (NASDAQ: WIMI) believes that only the 3D display of holography can fundamentally solve various real display problems.
With the progress of science and technology, people have more demands for a high-quality visual experience, from 2D high-resolution TV to 3D holographic enhancement or virtual reality, as well as large real 3D displays.
This kind of display needs to support massive information flow:
the 2D full HD information data transmission rate is about 3Gb/s, while the 3D display with the same resolution requires a transmission rate of 3Tb/s, so it is difficult to implement at this stage. It is a great challenge to use existing technologies to achieve perfect 3D effects. Therefore, WiMi Hologram Cloud INC. (NASDAQ: WIMI) has been committed to developing holographic displays that can simultaneously achieve a large size and large field of view, but it needs to match with holograms with massive optical information content. The final images need to be seamlessly connected from all angles and depths, so it is not easy to splice 3D images together, It is impossible to tile 3D images directly in real space.
In order to meet this challenge, WIMI is developing a “holo-brick” unit display system. This unit is based on a rough integrated holographic display used for corner tiling 3D images. They are spliced together to form a huge, seamless 3D image. Each holographic brick uses a spatial light modulator with high information bandwidth to transmit information and combines with coarse integrated optics to form a tiled three-dimensional hologram with a large viewing angle and angular field of view. The system allows seamless space tiling of multiple coarse integral holographic (CIH) displays called “holographic tiles”.
Holographic brick is an independent CIH module, including a spatial light modulator (SLM), scanner, and periscope coarse integration optics. The creation of periscope rough overall optics prevents the optical system from being larger than the holographic image and allows holographic stripe patterns to fill the entire surface of the holographic brick. Therefore, multiple holographic tiles can seamlessly adjoin to form an expandable space-tiled holographic image display, which can simultaneously have a wide field angle and any large size area. Through optical design, each generated hologram can be seamlessly spliced to fuse the displayed 3D images in space.
The holographic effect is actually caused by diffractive optics. Its scattering angle depends on its wavelength and the size of the diffracted material. On the original basis, it will form a visual angle of about 1-2 degrees. That is to say, if you move the object slightly, you can show a 3D effect, but if the angle is too large, you can’t see the object. The CIH module can solve this problem by adjusting each angle in the space to about two degrees for space splicing, so as to obtain a space vision of more than 30-40 degrees. The modular CIH in the system uses thick spacing and small area but high bandwidth SLM combined with periscope coarse integration optics to form a three-dimensional 3D hologram with large field of view and field of view. WIMI will continue to develop the ultimate display technology to connect the real world and the virtual world, and reconstruct high-quality images to achieve an immersive experience.
Explanation - accredited investors
How do I become an accredited investor
Becoming an accredited investor opens the door for certain people to invest and potentially multiply their money. If your goal is to grow your money through investing, there are a few things you should know about to make it happen.
To be an accredited investor you must meet the criteria set out in Rule 501 under the Securities Act 1933 (Reg. D) which defines an accredited investor in these two ways:
- "An individual with an income of more than 200,000 in each of the last two years or with a combined income of more than 300,000 for those years and a reasonable expectation of the same income in the current year.
- "An individual who has net worth individually or with the person's spouse that exceeds $1 million, excluding the value of that person's primary residence."
The last part of the second bullet point is a change introduced during the 2010 passage of the Dodd-Frank Act. Prior to the passage of the law, priority residence was not an exclusion from an individual's net worth. Those who had already made investments before the law was passed were drafted into large estates.
The process
Contrary to popular belief, there is no actual "process" a person goes through to become an accredited investor. There is no one to apply to and no official designation that makes someone an accredited investor. Claiming that someone is “accredited” is very misleading as there is no one who officially “accredits” you other than you and the company you wish to invest in.
How do accredited investors prove it?
In reality, a company wishing to issue securities or its representatives will provide a questionnaire asking potential investors to provide information to demonstrate that they meet the necessary criteria. No formal agency confirms an investor's accreditation. Since September 2013, the SEC has required anyone selling to accredited investors to complete several steps to verify that status. One person ticking a box or claiming to meet the qualification is not sufficient.
Individuals who base their qualifications on meeting the minimum income requirement will likely need to submit W-2 forms, tax returns, and other documents proving wages. In some cases, individuals may also provide letters from investment brokers, tax attorneys, and CPA reports.
The issuing company bears the brunt of any violations that may arise at the SEC. In some situations it will be obvious that the investor is accredited and others where it makes sense to circle the questionnaire to have them walk you through the requirements step by step to ensure they thoroughly understand the representations made in the agreement .
It is important to realize that accredited investor status is based on financial metrics. That means investors have more money, but larger funds are also at risk. It is very important for individuals to understand what an accredited investor actually is.
Source
https://www.manhattanstreetcapital.com/de/blog/administrator/how-become-accredited-investor
6-K 1 ea171900-6k_siyatamobile.htm REPORT OF FOREIGN PRIVATE ISSUER
Source
https://fintel.io/doc/sec-siyata-mobile-inc-1649009-6k-2023-january-19-19376-9531
Jan 19, 2023, 3:59:54 PM EST
UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549
FORM 6-K REPORT OF FOREIGN PRIVATE ISSUER
PURSUANT TO RULE 13a-16 OR 15d-16
UNDER THE SECURITIES EXCHANGE ACT OF 1934
Commission File Number: 001-39557
Siyata Mobile Inc.
1751 Richardson Street, Suite #2207,
Montreal, Quebec H3K-1G6, Canada
Other Information
On January 19, 2023, Siyata Mobile Inc. entered into warrant exercise agreements with fourteen existing accredited investors to exercise certain outstanding warrants to purchase up to an aggregate of 18,042,857 of the Company’s common shares. In consideration for the immediate exercise of the Existing Warrants for cash, the exercising holders received new unregistered warrants to purchase up to an aggregate of 18,042,857 common shares (equal to 100% of the common shares issued in connection with the Exercise) in a private placement pursuant to Section 4(a)(2) of the Securities Act of 1933, as amended.
In connection with the Exercise, the Company also agreed to reduce the exercise price of the Existing Warrants from $0.23 to $0.20 per share. In connection with the Exercise, the Company will be required pursuant to the terms of 2,989,130 of its remaining unexercised common share purchase warrants, to reduce the exercise price of such warrants from $0.23 per common share to an exercise price of $0.20 per common share.
The New Warrants are exercisable immediately upon issuance at an exercise price of $0.20 per share and have a term of exercise equal to five years. The Company agreed to file a resale registration statement on Form F-1 within 45 days with respect to the common shares issuable upon exercise of the New Warrants. The warrant exercise agreements and the New Warrants each include a beneficial ownership limitation that prevents the warrant holder from owning more than 4.99% (which may be increased to 9.99% in accordance with the terms of the New Warrants) of the Company’s outstanding common shares at any time.
The gross proceeds to the Company from the Exercise totaled approximately $3,608,571, prior to deducting warrant inducement agent fees and estimated offering expenses. The Company intends to use the net proceeds of the Exercise for working capital and general corporate purposes.
Maxim Group LLC acted as the exclusive warrant solicitation agent and financial advisor to the Company in connection with the Exercise. The Company agreed to pay Maxim an aggregate cash fee equal to 7.0% of the gross proceeds received by the Company from the Exercise plus $15,000 to cover out-of-pocket expenses and legal fees.
The foregoing descriptions of the warrant exercise agreements and the New Warrants are not complete and are qualified in their entirety by reference to the full text of the form of warrant exercise agreement and the form of the New Warrant, copies of which are attached hereto as Exhibits 10.1 and 4.1, respectively, to this Report of Foreign Private Issuer on Form 6-K and are incorporated by reference herein.
Please read the FULL REPORT at:
https://seekingalpha.com/filings/pdf/16322338
The New Warrants described above were offered in a private placement pursuant to an applicable exemption from the registration requirements of the Securities Act and, along with the common shares issuable upon the exercise thereof, have not been registered under the Securities Act, and may not be offered or sold in the United States absent registration with the Securities and Exchange Commission or an applicable exemption from such registration requirements. The securities were offered only to accredited investors.
This report shall not constitute an offer to sell or a solicitation of an offer to buy nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to the registration or qualification under the securities laws of any such state or jurisdiction.
Financial Statements and Exhibits.
Exhibit No. / Description
4.1 / Form of New Warrant
10.1 / Warrant Exercise Agreement, dated January 18, 2023, by and among Siyata Mobile Inc. and the investor party thereto
SIGNATURES
Pursuant to the requirements of the Securities Exchange Act of 1934, as amended, the registrant has duly caused this report to be signed on its behalf by the undersigned hereunto duly authorized.
SIYATA MOBILE INC.
Dated: January 19, 2023 By:
By: /s/ Marc Seelenfreund
Marc Seelenfreund
Chief Executive Officer
Thanks BlazingStocks, you can get more actually informations about Siyate Mobile at:
Source
https://www.siyatamobile.com/financial-reports/
just like
SIYATA MOBILE INC. AND SUBSIDIARIES - Unaudited Interim Condensed Consolidated Financial Statements
https://www.siyatamobile.com/wp-content/uploads/2022/12/SYTA-Q3-Financials.pdf
SIYATA MOBILE INC. AND SUBSIDIARIES - Management’s Discussion and Analysis
https://www.siyatamobile.com/wp-content/uploads/2022/12/SYTA-Q3-MDNA-.pdf
Siyata Mobile Exploits Leadership Position In Push-To-Talk Over Cellular Market, Shares Respond By Rising 31% YTD ($SYTA).
Source
https://www.marketscreener.com/quote/stock/SIYATA-MOBILE-INC-114201726/news/Siyata-Mobile-Exploits-Leadership-Position-In-Push-To-Talk-Over-Cellular-Market-Shares-Respond-By-R-42748147/
01/17/2023 | 06:47am EST
Siyata Mobile (NASDAQ: SYTA) is early to a massive opportunity. And although its microcap share price may reflect that position, sometimes, being early can be quite fashionable - especially when targeting a more than $20 billion market opportunity. [color=green]In fact, with SYTA doing things differently than its competitors and having better products embedded with 21st-century technology, they may become more than just a stylish sector investment play; they may set the trend by leveraging a leadership role in the global Push-to-Talk Over Cellular (PoC) sector[/color]. If so, current prices, even after a more than 31% YTD increase*, expose a valuation disconnect worthy of immediate consideration. (* share price % change calculation taken January 1, 2023- January 13, 2023, $0.213, Yahoo! Finance)
Indeed, at roughly $0.21, SYTA's market cap doesn't reflect anywhere near the intrinsic value already held, nor does it account for the tremendous growth and operational expansions made in 2022. Those initiatives are paying off quickly as the company continues to disrupt traditional Land Mobile Radio (LMR) markets with its next-generation cellular technology. Converting trials to sales, SYTA increased comparative Q3 revenues by 588% to $1.9 million in Q3. The better news is that those increases come through sales of its leading product, the SD7, its next-generation PoC device already considered a game-changing field asset and an excellent upgrade from land mobile radio.
That's no coincidence. The SD7 is easy to use, purpose-built, highly functional, and enhanced by a rugged Android-based design. That's not the only feature attracting client interest; it's also earning praise for its robust IP68-rated design that protects against dust and debris, making it the only known push-to-talk device meeting the needs of especially rigorous field use applications. More importantly, it provides excellent noise-reducing sound quality that allows for clear communication, a benefit typically not inherent to the current generation of rugged smart and feature phones.
That means most competing products can't do what SYTA's can.
Video Link:
https://www.youtube.com/embed/bSrm4XOtMoU
A $20 Billion Shot On Goal
That puts a massive revenue-generating opportunity into SYTA's crosshairs. In fact, the $20 billion market mentioned is only what's been in play for this year. Estimates into the next few years more than double the market size, with analysts pegging market opportunity at over $50 billion in the North American markets alone.
Put another way:
SYTA is in the right markets at the right time. And, just as significantly, it has the right products to target revenues from several of the most potentially lucrative categories in the PoC industry, including advanced rugged smartphones, in-vehicle mounted IoT cellular communications devices, cellular signal boosters for global first responders, and channel relationships allowing SYTA to market devices with international cellular carriers and distributors who sell to their enterprise customers.
That focus, combined with strategic moves made in 2022, could be the driving force in taking share from the industry's largest LMR players like Motorola Solutions Inc. (NYSE: MSI), L3Harris Technologies Inc. (NYSE: LHX), and overseas brands such as JVCKenwood Corp. (TSE: 6632) and Hytera Communications Corp (SZSE: 002583). Q3 numbers indicate that's happening quickly. Moreover, SYTA's revenue surge could be the precursor to better things, especially as SYTA continues to aggressively capitalize upon PoC market opportunities with disruptive solutions that are accretive to growth by maximizing synergies that use the same core channels and service the same customers. But streamlined growth is just one attractive feature of SYTA.
Another advantage built into the SYTA consideration is that no other known competitor offers a similarly comprehensive portfolio of products. That distinction accelerates SYTA's plan to penetrate the PoC markets thanks to an expanding client list of global and national carriers that are appreciably receptive to the breadth of its single-vendor asset portfolio. That advantage is attractive to clients and helps SYTA revenues fall faster to the bottom line through synergistic sales benefits and simplifying integration processes.
A Synergistic Approach To Revenue Generation
What's more, the 588% spike in Q3 comparatives may get a boost from an expanding product lineup. While its SD7 is a formidable field PoC asset,
so is its VK7:
A first-in-class, in-car solution that pairs with its SD7. Like the SD7, the VK7's strength is its unique design, which includes connections to vehicle power, an integrated 10W speaker, a simple Slide-In connection, and internal active cooling. Additionally, the kit has a modularity that allows for the integration of multiple accessory solutions.
Another product in the in-vehicle family is the UV350, an in-vehicle smartphone specifically designed to optimize mobile communications while driving. The UV350 is already considered a preferred IoT device for commercial vehicles because its 4G/LTE speed is always powered and supports FirstNet® certified apps, including fleet management, dispatch, GPS mapping, and other custom solutions.
Notably, SYTA is focused on monetizing its channel relationships too. That facilitates SYTA marketing devices with global cellular carriers and distributors who sell to their enterprise customers. Leveraging these carrier sales channels and their broad customer base with SYTA's three complementary product categories benefits a lean operating cost structure. Furthermore, Siyata brings a unique advantage in providing client carriers the ability to activate a SIM card and generate income otherwise not captured with customers using traditional LMR. Again, an edge is created by differentiation.
Products That Communicate Effectively
Still, excellent products are only as valuable as the markets they serve and the demand they get from them. Siyata expects plenty, and not from unwarranted hope. Rather, SYTA is made confident through a product lineup able to overcome the limitations of traditional LMR services, which can include limited coverage, restricted voice and low-capacity functionality, and high start-up and tower maintenance costs. Those inefficiencies, while bad news for the brands that sell them, are excellent motivators supporting SYTA's growth.
So is the fact that as a first-to-market provider replacing decades-old technology with a 21st-century solution, SYTA is ideally positioned to capitalize on multiple high-dollar market opportunities utilizing walkie-talkie-like technology that benefits users by having an unlimited coverage range. That distinction, combined with the technology's other features, opens the door to mass sales - which the channel relationships mentioned earlier can make happen. Go to any significant cellular service provider and check the inventory for sale. Those are examples of channel relationships, which, by the way, SYTA is scoring.
In November, SYTA announced inking a deal with Bell Mobility Inc. to launch its rugged SD7 device onto their network in the fourth quarter of 2022. The opportunity could be a windfall for SYTA, noting it facilitates SYTA tapping into Bell Mobility's leading wireless operator position and more than 10 million subscribers. As a division of Bell Canada, that deal could be the first of several, each bringing significant new revenue opportunities. That's not the only near-term value driver.
In December, SYTA announced adding RadioTrader, the UK and Ireland's premier two-way radio supplier, to distribute the ruggedized, mission-critical SD7 PoC device and VK7 vehicle kit accessory. That deal is expected to attract business from a wide variety of industries that rely on RadioTrader and its over 20 years of industry experience for two-way radio solutions. Moreover, the addition of SYTA's SD7 device and VK7 vehicle kit validates the quality of SYTA products and, more importantly, could provide fuel to score considerable near-term sales.
Remember that SYTA offers more than innovative, well-built devices. The inherent strength is that they operate over 4G LTE networks, enabling consistent domestic and international connectivity to facilitate messaging, one-to-one, or one-to-many instant call communications. In addition, running on the high bandwidth 4G LTE network also supports data-intensive services such as pictures, video, and a host of other third-party applications. There's still more benefit, perhaps the biggest being that with no need to invest in infrastructures such as radio towers or repeaters, SYTA's client list can grow appreciably and quickly. That's potentially excellent news on the revenues front, made even better by Siyata's lean operating structure helping those gains fall faster toward the bottom line.
Set Up For A Breakout 2023
Simply put, SYTA is doing the right things at the right time. More importantly, as a leading global vendor of next-generation Push-To-Talk over Cellular devices and cellular booster systems, and by having the right products to help shape the 21st-century of cellular communications, the impressive growth shown by SYTA last quarter could be set the trend for Q4 and all of 2023. Deals made with some of the world's largest carriers are expected to fuel that proposition.
Still, it's not only what they've already accomplished supporting the SYTA value proposition; it's what they are doing now that truly exposes the "share price to performance" disconnect. But as SYTA continues to earn business traction where others aren't, that disconnect will likely close quickly.
After all, feedback and market share growth are more than validating; they show that clients want what SYTA sells. And in any business model, that creates a defining path to success.
WiMi Develops The 5G Remote Holographic Real-Time Interactive Education Management System.
Source
https://www.newstrail.com/wimi-develops-the-5g-remote-holographic-real-time-interactive-education-management-system/
January 17, 2023
In recent years, with the rapid development of science and technology, the field of education also ushered in the wave of science and technology. The rise of the 5G network makes it a new possibility for remote holographic real-time interactive education. Remote classroom interactive teaching has become popular in the current 5G application. By using technologies such as “5G+VR/AR”, “5G+holographic projection”, and “5G+4K/8K remote live broadcast (fast live broadcast, slow live broadcast)”, WiMi can create an immersive smart classroom, interactive online teaching, and virtual simulation experiment teaching. This kind of scene has become a reality in many places.
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) develops a real-time interactive education management system based on 5G remote holography, which can improve the efficiency and effect of remote holographic education but also meet the needs of modern education. WiMi 5G holographic interactive education management system adopts the holographic remote rendering real-time 3D reconstruction framework, integrates interactive holographic technology, and realizes remote real-time interactive communication. The system combines holographic technology with distance education to make the teaching process closer to authentic offline teaching.
The 5G remote holographic real-time interactive education management system generates real-time 3D images locally through 3D image reconstruction technology, uses depth sensors to obtain data and preprocess, removes the background, and brings a foreground mask that only contains the object itself and has no background. After getting the foreground mask of the captured data, extract the 3D point cloud. Holographic algorithm technology is used to make the surface of the 3D model with point cloud data as input. The resulting 3D model is then applied with texture mapping. After reconstructing the texture 3D model of the local object, the data, including mesh, texture, and audio, will be transmitted to the remote location through the network. After the real-time 3D reconstruction phase is completed, the next step is to enable 3D remote rendering. The locally generated textured 3D model is transmitted to the remote location through the network and displayed in the remote location in real time, enabling local and remote users to interact through remote rendering.
With the rapid popularization of the 5G network, 5G technology can provide a higher data transmission rate, greater bandwidth, lower delay, and more robust network security, which makes remote holographic education more stable, more real-time, and more secure. The gigabit bandwidth capability of the 5G network ensures “instant access” to remote audio and video, and edge computing provides technical support for real-time processing and distribution of audio and video content. The 5G millisecond-level low delay makes the interaction between the local and remote more natural and smooth, and the real-time natural presentation of voice and expression makes the interview interaction more immersive and in-depth.
Using a 5G network, WiMi 5G holographic interactive education management system can realize virtual real-time interaction, which will significantly improve the efficiency and quality of distance education. Using holographic technology to give students a strong visual impact and immersive experience, enrich teachers’ classroom demonstration teaching aids, increase the interest in classroom teaching, and effectively improve students’ learning efficiency and sense of adventure.
WiMi 5G remote holographic real-time interactive education management system uses real-time 3D reconstruction captured by a depth sensor and integrates it with a holographic remote rendering application. Holographic projection technology is widely considered one of the most promising 3D display technologies and is expected to be more commonly used soon. Under the wave of 5G+AI in the future, holographic teleconferencing, telecommuting, and home telecommuting will all be a vast market.
6G Stimulates WiMi’s Super Intelligent Network System Creating A Holographic Smart City.
Source
https://www.newstrail.com/6g-stimulates-wimis-super-intelligent-network-system-creating-a-holographic-smart-city/
January 16, 2023
With the development of research and application of artificial intelligence technology, intelligence has become the goal pursued in various fields. In the high-speed network scenario, the large bandwidth, low delay, and comprehensive connection characteristics of the 6G communication network enable the large-scale collected data to be uploaded and then combined with big data, artificial intelligence, and other technologies for comprehensive processing and analysis, so that 6G can enable global intelligence and achieve the close combination of AI, digital twins, and 6G networks.
High-speed network scenarios usually need to collect a large amount of environment and scene data and have high network adaptability and situational awareness. Therefore, such scenarios propose high transmission bandwidth, strong network situational awareness, and communication network adjustment capabilities to meet the requirements of brilliant AI integration.
With the perception, fusion, analysis, and simulation of city-level data, smart cities are gradually moving toward the direction of “life-like.” WiMi Hologram Cloud Inc. (NASDAQ: WIMI) put forward the concept of “super-intelligence” formed by the mutual integration of human brain intelligence and machine intelligence, combined 6G with artificial intelligence technology, developed WIMI super intelligent network system, and promoted the holographic digital perception, whole quantitative aggregation, good management and control, intelligent implementation and integrated services of urban governance.
Through the 6G high-speed, dedicated information channel, the massive data and high-performance data transmission generated by the acquisition end provide a solid data layer foundation for AI processing and analysis. Using AI technology to perceive more dimensional and comprehensive data and improve the data transmission processing speed, urban management and service level are comprehensively improved through remote data interaction capabilities.
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) super-intelligent network system can collect multi-source and multidimensional data such as urban traffic and public safety, realize intelligent real-time monitoring and analysis based on comprehensive urban data, provide holographic digital management for the natural environment and urban environment, allocate urban resources, and carry out abnormal status early warning. It can also obtain massive data by collecting peripheral and other vehicle information and provide automatic driving service after intelligent body analysis and decision-making. Let artificial intelligence “think quickly” and “know everything” simultaneously.
WIMI super intelligent network system has built a super-intelligent unified management digital twin city model and uses forward 3D modeling, oblique 3D photography, point cloud holographic real scene scanning, and other technologies to improve CIM spatial holographic information such as BIM of important buildings, roads, and underground pipe networks. The database construction combines the Internet of Things (IoT) technology to achieve the organic integration of various types of urban spatial holographic information, build a digital urban holographic multidimensional map with all elements, high precision, and fine granularity, and achieve real-time quantitative analysis, pre-judgment and early warning, and holographic dynamic display of the overall situation, project construction, comprehensive social governance, government services, emergency management, and other global operating conditions.
Analyze and process images, videos, events, and other data in urban governance, including data aggregation engine, data analysis, and mining, data scene governanDataough data cleaning, unified coding, Spatiotemporal model matching, and other processing, form a real-time perceptible holographic urban digital twin floor.
The system is also based on OpenStack/Kubernetes and other open-source technology frameworks, which can be directly used for in-depth optimization, development, and construction, and provides open and standard protocol interfaces. It encourages users to secondary outcomes, builds a sustainable urban holographic digital ecosystem, and forms a full stack, full business service capability around IaaS, PaaS, DaaS, and SaaS. It has super intelligent integrated service functions that are easy to manage, operate and maintain.
WiMi believes that a city’s healthy and stable operation depends not only on the system itself but also on a series of urban management activities and decisions that need a lot of data to support. The “infrastructure data,” “public information data,” “public security data,” “government efficiency data,” and “resource coordination and economic monitoring data” generated in the urban operation are scattered everywhere. With the development of intelligent informatization, many data resources have been accumulated. Therefore, WiMi will continue to use the 6G high-speed, dedicated information channel, combining the city-level multi-source data fusion based on the time-space framework, the whole stack AI intelligent collaborative response, the knowledge management, and profound discovery of massive data, global information insight and the available industrial ecology, to promote the further development of the holographic smart city.