VERSES AI’s (CBOE: VERS) (OTCQB: VRSSF) Atari 10K Challenge could mark an historic shift for artificial intelligence, allowing for more accessible and scalable development of intelligent systems with reduced data requirements and computational costs, we said just days ago. Today, the company’s preliminary results show that 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.
“The Atari Challenge represents more than just machines playing games. Video games are a proxy for the complex dynamic systems all around us,” added Gabriel René, founder and CEO of VERSES. “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.” Not only is this beneficial for VERSES AI, but also for top tech stocks such as Nvidia (NASDAQ: NVDA), Microsoft (NASDAQ: MSFT), Advanced Micro Devices (NASDAQ: AMD) and Cisco (NASDAQ: CSCO).
VERSES (CBOE: VERS) (OTCQB: VRSSF) GeniusTM 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
VERSES AI Inc., 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.
Other related developments from around the markets include:
Nvidia announced new partnerships to transform the $10 trillion healthcare and life sciences industry by accelerating drug discovery, enhancing genomic research and pioneering advanced healthcare services with agentic and generative AI. he convergence of AI, accelerated computing and biological data is turning healthcare into the largest technology industry. Healthcare leaders IQVIA, Illumina and May Clinic, as well as Arc Institute, are using the latest NVIDIA technologies to develop solutions that will help advance human health. These solutions include AI agents that can speed clinical trials by reducing administrative burden, AI models that learn from biology instruments to advance drug discovery and digital pathology, and physical AI robots for surgery, patient monitoring and operations. AI agents, AI instruments and AI robots will help address the $3 trillion of operations dedicated to supporting industry growth and create an AI factory opportunity in the hundreds of billions of dollars.
Microsoft and Pearson, the world’s lifelong learning company, announced a strategic collaboration to help address one of the top challenges facing organizations globally: skilling for the era of AI. The partnership will focus on providing employers, workers and learners with new AI-powered products and services to help prepare the current and future workforce across industries for the era of work in an AI-driven economy. By combining Pearson’s expertise in learning and assessment with Microsoft’s cloud and AI technologies, this partnership will play a foundational role in helping organizations realize the full value of AI through reskilling. Judson Althoff, executive vice president and chief commercial officer at Microsoft, said, “The speed and scale of today’s AI innovation present an opportunity for organizations across industries to accelerate AI Transformation. As AI investments increase, the demand for training and support to enable effective and responsible use of AI has never been greater. We are thrilled to partner with Pearson to help global enterprises develop learning experiences that empower employees with the AI skills needed to help advance their careers and achieve more.”
Cisco, the leader in security and networking, today announced Cisco AI Defense, a pioneering solution to enable and safeguard AI transformation within enterprises. As AI technology advances, new safety concerns and security threats are emerging at an unprecedented speed which existing security solutions are unprepared to protect against. Cisco AI Defense is purpose-built for enterprises to develop, deploy and secure AI applications with confidence. “Business and technology leaders can’t afford to sacrifice safety for speed when embracing AI,” said Jeetu Patel, Executive Vice President and Chief Product Officer, Cisco. “In a dynamic landscape where competition is fierce, speed decides the winners. Fused into the fabric of the network, Cisco AI Defense combines the unique ability to detect and protect against threats when developing and accessing AI applications without tradeoffs.”
Advanced Micro Devices announced that it will report fiscal fourth quarter and full year 2024 financial results on Tuesday, Feb. 4, 2025, after the close of market. Management will conduct a conference call to discuss these results at 5:00 p.m. EST / 2:00 p.m. PST. Interested parties are invited to listen to the webcast of the conference call via the AMD Investor Relations website ir.amd.com.
Legal Disclaimer / Except for the historical information presented herein, matters discussed in this article contains forward-looking statements that are subject to certain risks and uncertainties that could cause actual results to differ materially from any future results, performance or achievements expressed or implied by such statements. Winning Media is not registered with any financial or securities regulatory authority and does not provide nor claims to provide investment advice or recommendations to readers of this release. For making specific investment decisions, readers should seek their own advice. Winning Media is only compensated for its services in the form of cash-based compensation. Pursuant to an agreement Winning Media has been paid three thousand five hundred dollars for advertising and marketing services for VERSES AI Inc. by VERSES AI Inc. We own ZERO shares of VERSES AI Inc. Please click here for disclaimer.
Contact:
Ty Hoffer
Winning Media
281.804.7972
[email protected]
