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For those wanting to know what Verses is going to be paid by companies using its services...I repeat...Comment from company...We anticipate offering subscription tiers priced based on usage and pricing will be informed by various performance metrics gathered during the beta program.
VERSES Partners with Leading Global Investment Firm for Genius™ Beta
https://www.globenewswire.com/news-release/2025/01/30/3018021/0/en/VERSES-Partners-with-Leading-Global-Investment-Firm-for-Genius-Beta.html
VERSES® Partners with Top Australian Telecom for Genius™ Beta
VANCOUVER, British Columbia, Jan. 27, 2025 (GLOBE NEWSWIRE) -- VERSES AI Inc. (CBOE:VERS) (OTCQB:VRSSF) ("VERSES'' or the "Company”), a cognitive computing company specializing in next generation intelligent systems, announces that a leading Australian telecommunications company has joined the Genius beta program to focus on one of the largest issues plaguing their industry globally: fraudulent or illegal use of telecommunications services.
According to credit reporting agency, TransUnion, in 2023 $38.95 Billion was lost to telecom fraud and a report by The Global Leaders’ Forum (GLF), a network of leaders from the world’s largest international carriers, found that 64% of carriers state that fraudulent traffic is a top priority. One of the most common issues telecom operators face today is the prevalence of fraudulent access or hijacked accounts. Although there have been many advances in multi-factor authentication, there are just as many workarounds and hacks to circumvent them.
The telecom provider is eager to implement Genius Agents given their unique ability to model complex dynamic systems, quantify uncertainty, and continuously learn how to make increasingly more accurate predictions.
“VERSES is attracting more large-scale opportunities at an enterprise level where the organization is excited about the capabilities and prospects that Genius provides,” said Michael Wadden, VERSES Chief Commercial Officer. “Genius’ unique ability to continuously reason, predict and act addresses a category of real-world problems that the latest LLMs like OpenAI’s o1 or Deepseek’s R1 still struggle to reliably solve. In this scenario potentially mitigating fraud at scale would create exceptional value for the provider.”
https://www.globenewswire.com/news-release/2025/01/27/3015574/0/en/VERSES-Partners-with-Top-Australian-Telecom-for-Genius-Beta.html
VERSES Genius™ Agent Outperforms Leading AI Algorithms at Major Industry Benchmark
Demonstrating High Performance in “Atari Challenge” with 90% Less Data, 96% Faster Training, 96% Smaller Model Size; Applicable to Real-World Challenges
https://www.globenewswire.com/news-release/2025/01/22/3013198/0/en/VERSES-Genius-Agent-Outperforms-Leading-AI-Algorithms-at-Major-Industry-Benchmark.html
VANCOUVER, British Columbia, Jan. 22, 2025 (GLOBE NEWSWIRE) -- VERSES AI Inc. (CBOE:VERS) (OTCQB:VRSSF) ("VERSES'' or the "Company”), a cognitive computing company specializing in next-generation intelligent systems, has shared preliminary results on its variant of the “Atari 100K Challenge” a leading AI industry benchmark, where software agents must learn gameplay proficiency, on their own, using a limited amount of training data.
The results, which can be found in a blog post on the Company’s website titled “Mastering Atari Games with Natural Intelligence,” showcase how agents powered by GeniusTM, a toolkit for developing intelligent agents, were able to match or exceed the performance of state-of-the-art Deep Reinforcement Learning (DRL) and Transformer algorithms using 90% less data. DRL is the algorithm that underpins work such as Google Deepmind’s AlphaZero, AlphaGo, and AlphaFold, while Transformers are the foundation of Generative AI and LLMs like OpenAI’s GPT, and other popular models like Anthropic’s Claude, Google’s Gemini, Meta’s Llama, X.AI’s Grok and others.
“The Atari Challenge represents more than just machines playing games. Video games are a proxy for the complex dynamic systems all around us,” said Gabriel René, founder and CEO of VERSES. “We need AI to help us to better navigate the complexity and uncertainty of the real-world; yet state-of-the-art AI algorithms remain too unreliable, inefficient and unexplainable. While there is more work to be done to productize this research into Genius, we believe these early results and the research behind them signal a historical shift towards developing smarter, safer and more scalable AI.”
The Atari 100k benchmark has been used to test an agent's ability to excel in three critical areas: interactivity, generalization, and efficiency. VERSES’ variant, known as “Atari 10k,” tests for these same capabilities, using only 1/10th of the sample data. This increase in efficiency reduces the need to rely on large datasets and compute architectures, and indicates applicability to real-world problems where data can be sparse, incomplete, noisy, and where learning may need to occur in real time. Genius agents have demonstrated these capabilities across multiple Atari games by efficiently learning about the objects and physical mechanics of the game environments through interaction, on their own, without the need for human supervision. By learning the hidden cause-effect dynamics in the games, the agents were able to better predict outcomes and select optimal actions to outperform the state-of-the-art models even across multiple games with different objects, dynamics and goals. In contrast, DRL and Transformer architectures must rely on substantial training data and compute as well as bespoke tuning to ‘fit’ with the gameplay mechanics.
“By aligning with how intelligence has evolved in nature and how energy efficient biological systems must act to preserve their existence, we believe that the architecture and methods that underwrite Genius offer a sustainable and scalable means to building ecosystems of authentic, autonomous and agentic intelligence,“ said Karl Friston, VERSES Chief Scientist.
“By Applying the Free Energy Principle, the Active Inference framework, and Bayesian Machine Learning, we are working on developing an efficient and generalized architecture that allows intelligent agents to learn and develop expertise across any domain,“ said Hari Thiruvengada, VERSES Chief Technology Officer. “The reasoning, planning, and online learning capabilities that allow a Genius Agent to engage in dynamic gameplay is extremely relevant to applications such as classification, recommendations, prediction, and decision-making across a variety of industries, including financial, medical, risk analysis, autonomous driving, robotics and more.”
For a more detailed description and videos of gameplay visit our blog at verses.ai.
this turd biscuit is going below 1.00 weee
Wow, picked up more after drop. Blue skies ahead. Looks like a battle to try and crush this tiny upstart company from taking on the big boys this morning. Someone doesn't like all these great results coming from these "unknowns" after billions wasted on other forms of AI
VERSES to Release Atari Benchmark Results at World Economic Forum in Davos
Chief Scientist Karl Friston and Executive Team to be Featured at Key Events to Discuss Details
January 13, 2025 08:15 ET | Source: VERSES AI Inc.
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