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first to the second computer. if the reactives are armed, trigger same simultaneously.
do you think russia is behind this iranian drone/missle attack? to by attrition alter the distribution of anti drone /missile ip away from ukraine? just as russia is pushing to finish ukraine before weapons are diverted to them? the harvard protesters need to be watched carefully as air defense equipment is made and ? stored nearby towns and states. mass congressional are not the best on wanting a strong usa. hard to figure out how they got the power in a state where usa was started? academic infiltration from the days of vietnam protestors and sds take over of college admin buildings? kicking out of rotc from campus.
get and academic job, stay low, hand around , power by attrition,, admission committees, grants, load it up with like and manipulable candidates......this whole scenario is just a later chapter of the crimean war and russian plans? they play a long game....the west has a short memory. we forgive and get along, they never forget. ever..
same academics weaken the scholarship, knowledge needed by creating their own no verification information required...make up a transcript/cv. voila.
ride the wave of sketchy backgrounds, ideology, identity, etc. they try to weaken the tech and science needed for the defense/security of the west by saying it's bad, not dei.....they've got google not doing defense work. who do the employees think they'd rather have power over them?
taliban says a man can dress like a woman, no problem, but if he says he's a woman? not ok.
They already put out a notice canceling Mills lost (cough cough) shares. Once the Texas Appeals court rules in our favor I’m sure they will put out a notice canceling all of Wade’s shares. It’s just a matter of time now.
did they make sure the now solutions stock wasn't in wade's trust or farias' hands? maybe they can just call for them due to a routine stock split and if not found or attributed to somebody or entity, cancel them and issue new ones to the company treasury?
interesting about salesforce and informatica...insiders should know about 8, v ip.....but buying informatica might be easier with them not having v ip patents?
yes, they did dev op, but.........so salesforce helps align them with v ip and 8.........wags.
salesforce relationsmhip with 8 and v ip would be interesting. salesforce would want a say in how things go down, but so might msft/google/meta/X/dell/ibm/ wags/
He helped invent a a whole new category of tech called "software-as-a-service," where companies rent their software over the Internet, instead of install it on computers.
The concept almost died at birth. Shortly after Salesforce.com launched, the Internet bubble burst.
Benioff persisted, however, and today every major software company is chasing him.
Along the way, Benioff has become one of the most flamboyant, generous, larger-than-life personalities in the tech industry.
Me. Hmmm “software as a service” Remember our first p r about that concept about 12 ? years ago.? And Marc invented it. Looks like we’ve been following him ( the leader) for quite some time now. I’d be willing to bet he’s chomping at the bit to buy us. …. We wait.
Doc. I agree. Remember Wade was in a joint venture with Salesforce and it fell apart like all the other jv’s he was involved with way back when. . Who could do business with Wade? No one. Marc B lives here on the Big Island. He is an all around good guy. Buying fire trucks and even helicopters for our fire departments and donating a lot of land for the homeless and low income housing etc. I’m hoping Len and his men are talking to him about a new licensing agreement. Or maybe working on a deal for him to buy v ? It would be a good fit. And he’s a good guy.
salesforce another v ip wannabe? in talks to acquire informatica, etl.....they didn't get patent but grew the biz, so they get money but not the big cahuna. wags. data management and control is generative ai..without good data and management and control, it's not much good. imho.
if apple wants to dev this , they might need to obtain a license and agreement for royalties or face legal action........if money needed, call the guy who lent trump the bond ? easy money? poor starving company which has been whipped by big tech bullies?jurors might be very attentive.
apple m4 ai for macbooks..........vip:Mobile proxy server for internet server having a dynamic IP address
Patent number: 9710425
Abstract: A system for connecting to a mobile web server having a dynamic IP address includes a mobile proxy (MP) server connectable to the client software, the MP server including a proxy server software and an IP agent server. An Internet device is connectable to the MP server, and includes a mobile web server and an IP agent client.
Type: Grant
Filed: March 30, 2012
Date of Patent: July 18, 2017
Assignee: Vertical Computer Systems, Inc.
Inventor: Luiz Claudio Valdetaro
missing now solutions certificates..are they still missing?
maybe look in wade or farias locations?
bloomberg reports apple to have m4 chip capable of on device ai in new devices.
mobile devices? and will this m4 chip have a webserver? enter v ip patent.
"(Reuters) -Apple is nearing the production of M4 computer processors which would have AI processing capabilities and plans to update every Mac model with it, Bloomberg News reported on Thursday, citing people with knowledge of the matter.
The company is aiming to release the updated computers late this year and early next year, and they would include new iMacs, a low-end 14-inch MacBook Pro, high-end 14-inch and 16-inch MacBook Pros, and Mac minis, the report said.
PC makers have been in a slump since the end of a pandemic-era boom in sales for working and learning from home. The industry has pinned its hopes of a revival on a new generation of laptops and desktops with more powerful chips that can handle artificial intelligence tasks such as summarizing documents without having to send data to the cloud.
Intel is preparing such chips, as are rivals including Qualcomm. Reuters has reported that Nvidia also plans to use its strength in AI chips to jump into the PC market with a new chip as early as 2025.
Apple is planning to highlight the AI processing capabilities of the new chips, and how they'll integrate with the next version of macOS, according to the Bloomberg report.
Apple did not immediately respond to a Reuters request for comment.
The news comes ahead of Apple's annual developers conference in June, and reports said the iPhone maker could announce new AI partnership and unveil significant changes to the iOS.
Mac sales fell 27% in Apple's most recent fiscal year ended September. Apple in October unveiled the current-generation M3 chips and new MacBook Pro and iMac computers that were getting them.
(Reporting by Yuvraj Malik in Bengaluru, Additional reporting by Stephen Nellis; Editing by Anil D'Silva and Maju Samuel)"
where is our money for such. and they likely used ploinks for their siteflash and response flash?
at this point in time the money should be huge.
thought so....
adobe; salesforce, and balmer goes to adobe to talk to their ceo.........and the boston guy whose company was bought by adobe?
now adobe frame i.o........really?
they would have/should have paid license and royalties , which should have shown up in the v accounts?
the vertical computer systems, inc. or as you say virtual computer systems, inc with it's first to the second computer via software, which fits the current concept of parallel computing and how to ensure the correct/same software and data are being used by the computing nodes of distributed resources.
and the blockchain ledger? ditto.
i'm thinking more and more that the crypto mining was/is a machination of the usa cyber czar or equivalent......to get computations done in a self validity/reliability way......minimizing the cost of such by rewarding only the first X number of solution finders....and then they use the integer answers in library for correction factors for fiber optic comms and varying distances, etc.
verge article on msft build conf. they think msft will show ip from the windows terminal server/services group? it would be interesting if judge jackson stimulated this from msft and his discussion of windows ce/thin client work?segue now with vdi on a chromebook to msft terminal server/services and connection to google/msft virtual data centers?==============
do they begin trading v again before or after msft build conf?
I have always thought that adobe was infringing. jfyi
Jedi. I wonder why Dan deleted all of my “A LAUGHABLE PLACE” posts? I just started a new one.
Weird? Or? Did I touch a nerve? We shall see.
Intel® Virtualization Technology abstracts hardware that allows multiple workloads to share a common set of resources. On shared virtualized hardware, a variety of workloads can co-locate while maintaining full isolation from each other, freely migrate across infrastructures, and scale as needed
.intel/amd/qualcomm/vmware/arm/etc. sbv friends and family......now adobe comes out .......did someone turn on the spigot?
Virtual data centers
Feb 2, 2023 - 8x8, Inc.
Various example implementations are directed to circuits, apparatuses, and methods for providing virtual computing services. One example involves a set of computing servers communicatively coupled to the data storage device. The set of computer servers provide a respective virtual data center for each of a plurality of accounts, and the respective virtual data center for each account provides data-communications services specified in a respective settings file for the account. The virtual data center for at least one of the accounts includes a set of virtual desktops and a set of Cloud-based servers.=================some 744?
8's global reach has likely allowed them to hone such capabilities in the realworld. that likely created data to be used in machine learning data to be used along with synthetic data. this would suggest 8 could know a lot about how and what to look for in data manipulation and how to mitigate such from contaminating the data resources. such resources would be distributed globally and would seem to require remote data management capabilities.....oh, so, potentially microfocus/openteams? teamsite.......and v ip.
266 and 736?
not in the 744 family. thank god.
yee haw, call the lawyers . wade decision must be done?
smart folder? lol, justia.
"Method and system for automatically downloading and storing markup language documents into a folder based data structure
Patent number: 9405736
Abstract: The present invention is directed to a system and method for processing a markup language file having one or more portions. Specifically, the system downloads a first markup language file using the hyper text transfer protocol and references the first markup language file by its uniform resource location or by a name of a local file on a system on which a user is operating. The first markup language is parsed for one or more portions of the first markup language file. Each portion of the first markup language file is stored into a directory structure containing folders, subfolders, and files complying with the structure of the first markup language file.
Type: Grant
Filed: November 5, 2013
Date of Patent: August 2, 2016
Assignee: Vertical Computer Systems, Inc.
Inventor: Jeff Davison"
mle and adobe!!!!!!!!!:
"Adobe Introduces Next Generation of Frame.io To Accelerate Content Workflow and Collaboration for Every Creative Project
ADBE
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Business Wire
Tue, April 9, 2024 at 12:00 PM EDT·7 min read
In this article:
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2W-6W
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9M+
Meet Frame.io Version 4 Beta
Meet Frame.io Version 4 Beta
New customizable sharing layouts in Frame.io V4 (Graphic: Business Wire)
New customizable sharing layouts in Frame.io V4 (Graphic: Business Wire)
The new multi-panel layout in Frame.io V4 (Graphic: Business Wire)
The new multi-panel layout in Frame.io V4 (Graphic: Business Wire)
New customizable metadata in Frame.io V4 (Graphic: Business Wire)
New customizable metadata in Frame.io V4 (Graphic: Business Wire)
Frame.io V4 now simplifies complex collaboration across the entire content creation lifecycle and enables more complex workflows, richer, more expressive feedback and tighter review loops
Frame.io V4 extends support for video beyond post-production workflows including casting, location scouting and footage reviews, and support for content types including images, design and PDF files
New Frame.io integrations with Photoshop and Workfront further streamline collaboration for Enterprises across the Content Supply Chain; as part of Adobe GenStudio, Frame.io can be combined with Adobe Express and Adobe Firefly Services to enable content production at scale
SAN JOSE, Calif., April 09, 2024--(BUSINESS WIRE)--Today, Adobe (Nasdaq: ADBE) introduced the all-new Frame.io V4, a flexible, fast and intuitive creative collaboration platform that streamlines and simplifies workflows across content creation and production. As teams and organizations race to meet the accelerating demand for video content, creatives and stakeholders at all stages of development are slowed down by disconnected tools and systems. Frame.io V4 is designed to meet the complex needs of creative teams delivering personalized content at scale by centralizing feedback, helping to reduce rounds of revisions and accelerating the delivery of media assets. The next generation of Frame.io, announced ahead of the 2024 NAB Show, will begin to roll out today in beta for Frame.io Free and Pro customers, and is planned to launch later this year for Team and Enterprise customers.
With all-new workflow management capabilities, anchored by a dynamic metadata framework and smart folder system called Collections, V4 introduces a cloud-based platform that is fully customizable, powerful and flexible enough to facilitate any creative workflow – for video, and beyond. File transfer, media asset review and approval, sharing, and presentations have undergone a complete transformation in V4, offering users a more powerful and intuitive platform for their most demanding creative projects.
"
i need to think about the timing by asking who's calling the shots for the txs supreme court?
republicans?
did the state of texas invest in v? i remember they were using some v ip.
if they have a stake it v, i see a sooner than later response.
stockholders might also influence the speed of their considerations.
is fed government behind wade's actions?
is state government on the opposite side?
is it's going to lead to huge money/profits..........push to get it done.
given the state of the federal economy, which is in danger of getting worse by the student loan foregiveness plans of wh, taxes are likely getting ready to go up just to do the debt interest given no interest reductions on tap?
wh is trying to buy votes again. and the congress and senate are in turmoil. and a republican congresswoman is trying to get rid of the speaker. this is crazy.
i just want to get the money and find some way to secure it from excessive taxation after all these years.
it still comes down to parsing and compiling?
from copilot : "Certainly! Cognigy.AI offers powerful features for advanced LLM (Large Language Model) orchestration and humanlike voice conversations at scale. Let’s explore some of the capabilities related to data extraction and parsing:
Precise Data Extraction and Parsing Using JSON Mode:
LLMs (such as GPT-3.5 Turbo and GPT-4) can generate complex sentences with nuanced meanings, idiomatic expressions, and creative structures.
However, this generative nature can pose challenges when structured data formats are required (e.g., JSON).
The JSON Mode in Cognigy.AI facilitates structured LLM data extraction:
When JSON Object is selected as the Response Format, the LLM Prompt Node returns results in the JSON schema.
This enables precise data extraction and reduces the overhead associated with post-processing the LLM’s output.
Combining the JSON Mode with Seed Parameters ensures reproducible outputs and variability control.
Custom Options for Tailoring LLM Requests:
Custom Model Options allow precise adjustments to model settings on a Node level:
Parameters like temperature, top_k, or presence_penalty influence creativity, randomness, and focus of model outputs.
Specific models can be selected for different scenarios.
Custom Request Options extend flexibility to technical aspects of request handling:
Adjust timeouts, retries, and headers for managing service reliability and authentication.
Lifelike Voice Interactions with Deepgram Aura:
Deepgram Aura is natively integrated into Cognigy.AI.
It enhances speech synthesis services for lifelike voice interactions.
Aura enables natural, humanlike voice conversations at scale.
In summary, Cognigy.AI empowers organizations to extract precise data from LLMs, tailor requests, and create lifelike voice interactions using Deepgram Aura. 🌟🔍 Learn more about Cognigy.AI v4.70. Learn more about Deepgram Aura. Learn more about JSON Mode. Learn more about Seed Parameters. Learn more about Custom Options. Learn more about Custom Request Options. Learn more about LLMs. Learn more about GPT-3.5 Turbo. Learn more about GPT-4. Learn more about Cognigy.AI. Learn more about speech synthesis services. Learn more about Deepgram Aura. Learn more about Cognigy.AI v4.70. Learn more about Deepgram Aura. Learn more about JSON Mode. Learn more about Seed Parameters. Learn more about Custom Options. Learn more about Custom Request Options. Learn more about LLMs. Learn more about GPT-3.5 Turbo. Learn more about GPT-4. Learn more about Cognigy.AI. Learn more about speech synthesis services."
There's no time limit, so I wouldn't be surprised if the Texas Supreme Court kept us waiting for more than a month, and I also wouldn't be surprised if we waited till Fall. I hope I'm wrong, and this gets wrapped up before then, but we keep getting delays for some reason. I wish I could go to Hawaii and do all the things that Kona recommends to pass the time, but we gotta wait a little longer. Our day will come.
No time limit on Texas Supreme Court to decide if they will hear his appeal. He lost in district court and lost in Dallas court of appeals I think they can see right through this clown. If not. I loose all faith in our court system. THUMP! I’m thinking no more than a month? But only they know. Probably depends a lot on their case load.
the 8 issue about their stock vote being properly recorded is now a done deal. their business slate would seem to be cleared. if something to do with vcsy, maybe wade is then the last thing. then maybe a jv between v and 8? i don't know if we'd see any single tech buy them, or else face monopoly accusations. so , keep them sep'ed from the bigs? just ensure the money. properly flows.
are we thinking 2 weeks or less?
Yep Doc. We’re covered til 2035 ! Relax. Go to the beach. Get a shave ice. Visit Akaka Falls and cool off in the rainforest.
On January 20, 2014, Vertical Computer Systems, Inc.. (the “Company”) filed a Current Report on Form 8-K (the “Original 8-K”) to, among other things, report events pertaining to its patents. The Company is filing this Current Report on Form 8-K/A to amend the Original 8-K to correct certain references concerning U.S. Patent No. 6,826,744 and certain continuation patents.
ITEM 8.01 OTHER EVENTS.
On January 14, 2015, Vertical Computer Systems, Inc., (the “Company”) received notice from the United States Patent and Trademark Office (the “USPTO”) that a continuation patent would be issued by the USPTO on February 3, 2015. The continuation patent will be issued as United States (“U.S.”) Patent No. 8,949,780 and is a continuation of U.S. Patent No. 7,716,629, which is a continuation patent of U.S. Patent No. 6,826,744.Collectively, they form the underlying patents (the “Patents”) under the Company’s SiteFlash™ and SiteFlash-derived products
In addition, the Company has retained the law firm of Davidoff Hutcher & Citron LLP on a contingency basis to act in connection with the licensing of the Patents,
Collectively, these Patents are a system and method for generating computer applications in an arbitrary object framework. The method separates content, form, and function of the computer application so that each may be accessed or modified separately. The method includes creating arbitrary objects, managing the arbitrary objects throughout their life cycle in an object library, and deploying the arbitrary objects in a design framework for use in complex computer applications.
I'm guessing Wade was a better dancer than he was a singer. Maybe tap dancing? At this point he's all tapped out. What good will the money do him if he's locked up? Will he be locked up? Only time will tell, and it's not telling yet.
the wade song and dance is to give time to get the money into the treasury, which will value the stock and leave wade with money. guesses.
Thanks Kona. I agree. It looks like Wade should pay for what he did, but we may not know the whole story yet, so we'll just have to wait to see how it all plays out. At least we know the next court decision will be the final one.
what do we think of this copilot response?
"The patent with number 8,949,780 was granted on February 3, 2015 1. The life span of a patent depends on the type of patent and the date it was filed or granted:
Utility Patent: Currently, a utility patent lasts for 20 years from the date of application.
Design Patent: A design patent has a lifespan of 14 years from the date of approval.
For patents granted before June 8, 1995, the term of the patent is 20 years from the filing date or 17 years from the grant of patent by the patent office, whichever is later 2.
Therefore, for patent 8,949,780, the life span would be 20 years from the date of application (May 11, 2010) or until February 3, 2030."
Wade replied with an p d f of a letter from court with his wrong address on it. But ….. he or anyone and everyone is responsible for notifying the court of your correct current address. Imo. He’s toast. These Supreme Court justices will take 1 look at the judgements against him upheld by a majority of the Dallas court of appeals and say. Bam ! NEXT!
Nothing about Wade yet? We'll just keep waiting.
bitcoin mining was/is a means to obtain the results for the library function to calibrate a quantum computer? wags.
so all this time, bit coin miners owe us vcsy shareholders some coin?
and the old vcsy webpage showing siteflash/response flash was /is included in the ploinks/puddle paradigm. wags.
back to the future.
rpi now has a quantum system one supercomputer.....gpu's from nvida....connect those babies and blam rings of power?
jia tan a linux developer seems implicated in a linux server hack to open back door the internet....this might help the newest 8 patent and v ip? wags. it was thwarted by a german msft employee doing a routine test on software? this would seem to be a war scenario if tan could be connected to china or noko or russia or other? if we've got to profit from conflict it might as well be vcsy/8 and make money from the fix?
8 newest patent of 3 days ago:me looking at 4/2/2024 8 patent...."programming/data sets via a data communications server. or would seem to be how/what are the programmable apis of the chat app/s. scipts written in a rogramming language that includes routing and/or call flow commands." They say,'the server is to execute the set of scripts to retrieve data from the data sources and control, in response to the data, call flow for the calls. '
me: this seems to include executable instructions as in a processor/remote equipment/robot/automated process?
segue with v ip.....first to the second computing device. voila.
Certainly! Let’s delve into the fascinating world of stochastic randomness and its connection to memristors.
Memristors and Stochastic Behavior:
Memristive devices exhibit intriguing properties, including resistive switching effects. These effects arise due to the stochastic nature of filament formation during resistance switching.
When a single filament growth dominates, the switching behavior becomes fully random, following a Poissonian distribution. In other words, the switching time is inherently stochastic and shows a broad distribution1.
Despite this apparent randomness, researchers have discovered that the supposed randomness can be well characterized and controlled. Memristors, with their native stochastic characteristic, can be harnessed for novel computing schemes.
Stochastic Computing:
Instead of using inherently non-deterministic memristor devices for deterministic applications (such as digital memory storage), we can explore a hybrid CMOS-memristor architecture.
In this hybrid setup, the randomness inherent in memristors enables more efficient and error-tolerant computing. By leveraging the stochastic switching events, we can create predictable biases and generate random bit streams for specific computational tasks1.
Applications and Challenges:
Memristors are promising candidates for future non-volatile memory technology due to their scalability, endurance, and low power consumption.
However, the large variations in switching parameters pose challenges for mainstream manufacturing and commercialization.
Addressing these variations and understanding the stochastic behavior of memristors is crucial for unlocking their full potential in computing and neuromorphic applications12.
In summary, memristors, with their inherent stochasticity, offer exciting possibilities for unconventional computing paradigms. By embracing randomness, we can create more efficient and robust system
memristors and stochastic randomness?
"Certainly! Let’s delve into the fascinating world of memristors and their connection to high-bandwidth memory.
Memristors: A Brief Overview
Memristors are intriguing electronic devices that exhibit a unique property: their resistance can be altered by the flow of electric charge. Here are some key points about memristors:
Definition: A memristor is a two-terminal passive electronic component that can “remember” its resistance state even after the power is turned off.
Switching Mechanisms: Memristors can switch between high and low resistance states based on various physical mechanisms, such as barrier modification, photo-induced molecular switching, and interactions with nanoscale conductive filaments.
Applications:
Non-Volatile Memory: Memristors are known for their low-power, non-volatile memory operation. They can store information for relatively long periods.
Neuromorphic Computing: These devices can emulate the switching and learning properties of biological synapses. As a result, they hold promise for creating bio-inspired neuromorphic computing systems.
Optical Memristors: Recently, there has been a push to develop memristor devices that can be controlled by light. Integrating non-volatile electronic memory with high-speed optical signaling opens up exciting possibilities in optical telecommunications and photonic computing1.
High-Bandwidth Memory (HBM)
High-Bandwidth Memory (HBM) is a type of memory architecture designed for high-performance computing and graphics applications. Here are the key features of HBM:
Stacked Design: HBM stacks multiple memory dies vertically, creating a 3D structure. This stacking allows for significantly higher memory bandwidth compared to traditional memory architectures.
Wide Data Bus: HBM uses a wide data bus (up to 1024 bits) to transfer data between the memory and the processor. This wide bus enables high-speed data communication.
High Bandwidth: HBM achieves exceptional bandwidth by minimizing the distance between the memory cells and the processor. This proximity reduces latency and enhances data transfer rates.
Applications:
Graphics Cards: HBM is commonly used in high-end graphics cards (GPUs) for gaming, video editing, and scientific simulations.
AI and Machine Learning: HBM’s high bandwidth is crucial for accelerating AI and machine learning workloads.
Supercomputers: HBM is also employed in supercomputers and data centers for scientific simulations and data-intensive tasks.
The Intersection of Memristors and HBM
The integration of optical memristors with high-speed and high-bandwidth optical signaling provides an exciting platform for future applications. Here’s why:
Optical Memristors: These memristors can be controlled by light, making them suitable for use in optical telecommunications and photonic computing.
Neuromorphic Computing: Combining memristors with HBM could lead to powerful neuromorphic computing systems that mimic the brain’s self-organized, adaptive properties.
AI and Big Data: As we enter the era of post von Neumann computing, the demand for increased computational power (for AI, the Internet of Things, and Big Data) makes this integration even more relevant12.
In summary, memristors and HBM represent cutting-edge developments in memory technology. Their convergence holds immense potential for advancing computing, communication, and artificial intelligence. 🌟"copilot says.
3dxp and robotics/remote work...infrared laser communications and lunar/mars work. stochastic randomness..a confusion of words......? on purpose to throw off the ai searches? it's not intuitive.
75 crossbar arrays....and two layers....2d with another d....duh, 3d xp...intel and micron.........v ip and 8 x8. wags.
vip secure personal space/place; the needle in the haystacks!
we are going to be ..............fill in the blank. however, what a world mess we will receive our gift in......
iran threatening our existence as helpers of israel. our own president seems to be vacillating in his support for our allies.
the hamas strategy of human shields is working this time with their cheer leaders within our own government and populace.
this is better than the threat of nuclear or biologics....like the comedy skits where the culprit holds the gun to his head and threatens to shoot himself if you don't surrender.. it is so obvious. israel obviously sees thru this and it didn't help the zealots of israeli lore. the romans didn't care or felt it was the cost of doing business. the problem for the world is that their leadership , themselves, live in qatar in lavish surroundings and are not injured in anyway. we actually send them more money at our expense. i think we need some adults in the room to put the leverage where it's needed. it ain't gaze which is a propaganda coup beyond their imagination. wags.
In the study, the team programmed a Bayesian neural network on an assembly of 75 crossbar arrays, each containing 1,024 memristors, complemented by CMOS periphery for in-memory computing. The experiment involved a two-layer Bayesian neural network trained to differentiate nine classes of heart arrhythmia from electrocardiogram (ECG) recordings.
The experimental results were compelling, with the memristor-based Bayesian neural network nearly matching the best performances of a software neural network in terms of both aleatoric (area under the curve of 0.91) and epistemic uncertainty evaluation (area under the curve of 0.99), albeit with a slight reduction in raw accuracy. This performance sharply contrasted conventional neural networks, which exhibit little ability to recognize unknown data and evaluate uncertainties.
That’s amazing stuff! Now add these new memristors to quantum computers , LLM’s and AI. Bam!
but recognition of the object in different 'circumstances' is found. recognizing objects in images...?
today, msft disconnected msft teams from msft 365...like it did for eu..........other sovereign data countries likely want the same?
fortunately, 8x8 work allows multiple chat apps in the app with programmable apis.
multiple chat apps might have some different names for the same objects? for tunately , there is v ip stochastic randomness qualities in objects. wags.
so, at least msft, if not google, amazon, oracle , and the rest follow suit. i hope. i think , we're almost there.
A stochastic process can have many outcomes, due to its randomness, and a single outcome of a stochastic process is called, among other names, a sample function or realization.[28
Doc. Yes. And my key takeaway from this article…
This performance sharply contrasted conventional neural networks, which exhibit little ability to recognize unknown data and evaluate uncertainties.
Hmmm The ability to recognize unknown data and. …. Wait for it… “evaluate uncertainties “. Or Arbitrary objects!
Like I said before. The Tec is finally catching up to our patent..
or, how to define an object... it ain't borland delphi arbitrary object. it's arbitrary object in the manner of vcsy and said framework.
they could make the subject matter more clear with better choice of 'words' to describe the phenomenon? guesses.
Introduction
A stochastic or random process can be defined as a collection of random variables that is indexed by some mathematical set, meaning that each random variable of the stochastic process is uniquely associated with an element in the set.[4][5] The set used to index the random variables is called the index set. Historically, the index set was some subset of the real line, such as the natural numbers, giving the index set the interpretation of time.[1] Each random variable in the collection takes values from the same mathematical space known as the state space. This state space can be, for example, the integers, the real line or
?
{\displaystyle n}-dimensional Euclidean space.[1][5] An increment is the amount that a stochastic process changes between two index values, often interpreted as two points in time.[48][49] A stochastic process can have many outcomes, due to its randomness, and a single outcome of a stochastic process is called, among other names, a sample function or realization.[28
Chinese scientists unlock potential of memristor semiconductor building block that could boost artificial intelligence, self-driving cars and more
World’s first fully system-integrated memristor chip could make artificial intelligence smarter and up to 75 times more efficient, researchers say
Advances could lead to AI that is capable of more human-like learning, with implications for how smart devices and autonomous driving work
Topic | Science
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Victoria Bela
Victoria Bela
Published: 10:07pm, 11 Oct, 2023
The world’s first fully system-integrated memristor chip has been unveiled by a team of Chinese scientists who believe it could not only make artificial intelligence smarter, but also more time and energy efficient. While the semiconductor has yet to leave the lab setting, it could allow for the development of AI that is capable of more human-like learning, which could have implications for the way smart devices and autonomous driving work, according to the researchers. “Learning is highly important,” for edge intelligence devices, the research team from Tsinghua University said in their study released in the journal Science on September 15, referencing devices that process data internally with technology like AI. The advancement is the latest in a series of Chinese semiconductor innovations announced since US-imposed export controls and sanctions restricted the supply of advanced chips and chip-making equipment to the nation.
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The development of a new microchip announced last month by Huawei made a splash in the media, and called into question whether China had the expertise to advance semiconductors without US technology. China’s new memristor chip is a significant step forward in developing such technology, according to the researchers.
“Memristor-based computing technology has recently received considerable attention because of its potential to overcome the so-called ‘von Neumann bottleneck’ of conventional computing architecture,” Yury Suleymanov, an associate editor at Science, said in his editor’s summary of the paper, referring to the computational limitation set by the separation of memory and processing.
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A resistor is an element of a circuit that is able to limit the flow of energy by providing resistance to electrons flowing through.
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A memristor – a contraction for memory resistor – is able to remember the most recent value of current that was passed through it when it was turned on, meaning future resistance can depend on prior history, according to Nature Electronics. As such, it is capable of improvement-based learning, or maintaining pre-acquired knowledge when something new is learned.
This differs from transfer learning, which focuses on moving to a new set of data and can sacrifice the accuracy of prior data, according to the paper. To train artificial neural networks, which mimic how human neurons pass on data in the brain, conventional hardware requires a great deal of energy and time to move data between the computing and memory units.
The study is an important step towards future chips with high energy efficiency and extensive learning capabilities
Wu Huaqiang and Gao Bin
Memristor-based computing is able to reduce the energy required for a task by allowing the learning to occur on-chip with no external memory source.
Several studies have investigated memristors, but they still used additional external processors, the team said in their paper. The researchers produced a chip capable of conducting complete on-chip improvement learning, and proposed a learning architecture for it.
They said they were able to demonstrate on-chip learning with multiple tasks, including image classification, motion control, and audio recognition.
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In one demonstration, the motion control of a model car designed to pursue a laser light was better at finding the light in a dark environment and would lose track of it in a brighter environment. But after implementing learning, it was able to find the light equally well in both environments.
The accuracy in the bright environment greatly increased, while accuracy in the dark environment did not decrease with the addition of the new ability. “The memristor-based neuro-inspired computing chip could facilitate the development of edge AI devices that could adapt to new scenes and users,” the researchers said in their paper.
With further research on the learning architecture, the team said it believed it could enable on-chip learning that is 75 times more energy efficient than current machines designed for AI processing.
Still, challenges remain in the research and development of such chips – in particular, engineering the chips for large-scale integration. It could take time for the technology to make it out of the laboratory, Wu Huaqiang and Gao Bin, professors at Tsinghua and leads of the research team, admitted to Chinese-language news site Science Times. “The study is an important step towards future chips with high energy efficiency and extensive learning capabilities,” the researchers said, adding they hoped their findings “will accelerate the development of future smart edge devices”
International Researchers Move the Needle on Memristor Technology
December 19, 2023 by Jake Hertz
Academics across the globe have made concurrent breakthroughs in a new form of non-volatile memory.
Memristors, or memory resistors, are an emerging form of non-volatile memory considered a viable alternative to traditional memory storage. These devices act as switches that can recall their electric state even after their power is turned off, allowing them to behave like human neurons—both computing and storing data.
Memristors are a hot research topic for their numerous unique properties, including scalability to lower process nodes, which enable smaller, faster, and more energy-efficient devices.
Cea-Leti's wafer-level memristor crossbar arrays
Cea-Leti's wafer-level memristor crossbar arrays using a prober. Image (modified) used courtesy of Cea-Leti
Now, as the demand for more sophisticated and power-efficient computing grows, memristors hold promise in various applications, including artificial intelligence, neuromorphic computing, and high-density data storage. In recent months, several international research teams have published findings about memristors that may help push this technology from lab to market.
The University of Rochester: Strain-Engineered Phase-Change Memristors
Researchers at the University of Rochester recently developed high-performance, bipolar phase-change memristors based on strain-engineered multilayer molybdenum ditelluride (MoTe2).
The strain-based memristor
The strain-based memristor. Image used courtesy of Nature
These devices, distinguished by their bipolar phase-change characteristics, represent a significant leap from conventional filamentary conduction mechanisms. The study successfully utilizes process-induced strain engineering to induce a semimetallic-to-semiconducting phase transition in MoTe2.
This transition is key to achieving the memristor's remarkable switching characteristics, including low voltages of 90 mV, high on/off ratios of 10^8, swift switching times of 5 ns, and prolonged retentions over 10^5 seconds. Such performance metrics indicate the potential of these memristors for applications in robust, fast, low-power, and scalable memory and neuromorphic computing systems.
The device's performance can also be finely tuned by varying a single process parameter: the contact metal film force, a product of film stress and thickness. This control over the device's switching voltage and on/off ratio underlines the memristor's adaptability and potential for diverse applications.
Cea-Leti: Using Memristors for Bayesian Neural Networks
In France, a group of Cea-Leti researchers announced that they have successfully integrated memristor hardware into artificial intelligence systems. Specifically, the team leveraged the inherent probabilistic nature of memristors to effectively execute the computationally intensive tasks of Bayesian neural networks.
Filamentary memristor
Filamentary memristor in the back end of the line of Cea-Leti's hybrid memristor/CMOS process. Image used courtesy of Nature
In the study, the team programmed a Bayesian neural network on an assembly of 75 crossbar arrays, each containing 1,024 memristors, complemented by CMOS periphery for in-memory computing. The experiment involved a two-layer Bayesian neural network trained to differentiate nine classes of heart arrhythmia from electrocardiogram (ECG) recordings.
The experimental results were compelling, with the memristor-based Bayesian neural network nearly matching the best performances of a software neural network in terms of both aleatoric (area under the curve of 0.91) and epistemic uncertainty evaluation (area under the curve of 0.99), albeit with a slight reduction in raw accuracy. This performance sharply contrasted conventional neural networks, which exhibit little ability to recognize unknown data and evaluate uncertainties.
Tsinghua University: 2D-Material-Based Memristors
Finally, in China, a team at Tsinghua University developed a new system-integrated memristor computing-in-memory chip the researchers claim is the world's first of its kind to support efficient on-chip learning. This chip, still in the laboratory phase, is expected to significantly advance developments in fields such as artificial intelligence, autonomous driving, and wearable devices, among others
The memristor-based integrated circuit
The memristor-based integrated circuit. Image used courtesy of Tsinghua University
The chip is notably energy efficient, consuming only 3% of the energy of an application-specific integrated circuit (ASIC) system for on-chip learning. According to the team, this innovation started with research on memristors for storage applications and took about 11 years to develop to this point.
Memristors Gain International Steam
Memristors converge computing and memory within a single device, opening up new frontiers for energy-efficient, high-speed, and intelligent computing solutions. As international researchers continue to explore and refine memristor technology, they pave the way for more advanced and efficient computing systems that could define the next generation of electronics.
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