Latest news with #VersesAI
The Market Online
03-06-2025
- Business
- The Market Online
Verses' digital brain beats Google's top AI at 'Gameworld 10k' Atari challenge
Verses AI Inc. (CBOE:VERS) announced a major leap forward in artificial intelligence with the unveiling of its new digital brain architecture, codenamed AXIOM In a head-to-head showdown, AXIOM outperformed DreamerV3 across ten diverse, arcade-style environments designed to test real-world generalization with minimal data These results suggest that AXIOM could represent a paradigm shift in AI development—offering not only better performance but also dramatically lower computational and financial costs Verses AI stock (CBOE:VERS) last traded at C$5.70 Cognitive computing company Verses AI Inc. (CBOE:VERS) announced a major leap forward in artificial intelligence with the unveiling of its new digital brain architecture, codenamed AXIOM (Active eXpanding Inference with Object-centric Models). Based on the neuroscience-inspired principle of Active Inference, AXIOM has demonstrated performance that significantly surpasses Google DeepMind's DreamerV3—one of the most advanced AI models known for its generalization capabilities in simulated environments. In a head-to-head showdown using the Gameworld 10K benchmark—a next-generation successor to the Atari 100K Challenge—AXIOM outperformed DreamerV3 across ten diverse, arcade-style environments designed to test real-world generalization with minimal data. AXIOM: Better, faster, cheaper (and smaller) Verses' AXIOM not only delivered superior gameplay performance but did so with efficiency and simplicity. Unlike traditional AI models that rely on neural networks, backpropagation, and gradient descent, AXIOM uses a novel object-centric approach rooted in Active Inference. Performance highlights (AXIOM vs DreamerV3): 60 per cent better gameplay (Normalized Score: 77 vs 48) 7.6x more sample-efficient (3,175 steps vs 24,207) 39x faster GPU runtime (~10 minutes vs ~370 minutes) 12x cheaper to run (Estimated GPU cost: $0.66 vs $25.54) 400x smaller model size (0.95M vs 420M parameters) These results suggest that AXIOM could represent a paradigm shift in AI development—offering not only better performance but also dramatically lower computational and financial costs. Independent validation To ensure transparency and credibility, Verses submitted AXIOM's research paper, mathematical proofs, and source code for independent review to Soothsayer Analytics, a globally respected AI certification and advisory firm. Soothsayer is known for its rigorous standards and is trusted by Fortune 1000 and Global 2000 companies. Expert insights Dr. David Bray, Ph.D, chair of the Accelerator and distinguished fellow, Stimson Centre; senior fellow with the Institute for Human-Machine Cognition as well as an expert with MIT Horizon, the Oxford Internet Institute, and Harvard's Leadership for a Networked World Program, caught early access to the paper. 'In many critical fields, there's an urgent need for models that are more reliable, less constrained by past training sets, and more adaptable to a changing world,' He said in a news release. 'Active Inference offers a more transparent, energy-efficient, and generalizable approach to intelligence—one that mirrors how humans learn, adapt, and simplify. The sample efficiency of AXIOM is particularly noteworthy, showing how it can generalize from fewer examples, much like human cognition, using far less computation. And by using Bayesian model reduction to prune complexity, this work captures a fundamental principle of intelligent behavior: simplify where possible, but not at the expense of understanding. This is the kind of intelligence we need for systems to thrive in complex, real-world environments across both public and private sectors.' Implications for the future of AI If AXIOM's performance continues to hold across broader domains, it could redefine the foundations of artificial intelligence—moving away from data-hungry, compute-intensive models toward more biologically inspired, efficient systems. This could have far-reaching implications for industries ranging from robotics and autonomous systems to healthcare and smart infrastructure. The Atari 100K Challenge, introduced in 2015, involves creating a single artificial intelligence model capable of being trained to meet or beat human-level performance on a pool of up to 26 classic Atari (OTC Pink:PONGF) video games. The AI model must learn directly from pixel data, using only the score as a reward signal. Verses' leadership will provide broader context around benchmarking and showcase early results in comparison with other AI models. Specializing in biologically inspired distributed intelligence, Verses AI is focused on developing next-generation artificial intelligence solutions, including the Genius platform. Verses AI stock (CBOE:VERS) last traded more than 10 per cent higher at C$5.70. Join the discussion: Find out what everybody's saying about this stock on the Verses AI Bullboard, and check out the rest of Stockhouse's stock forums and message boards. The material provided in this article is for information only and should not be treated as investment advice. For full disclaimer information, please click here.
The Market Online
30-04-2025
- Business
- The Market Online
Verses launches Genius AI out of beta to commercial product
Cognitive computing company Verses AI (CBOE:VERS) announced the commercial launch of its flagship product, Genius This platform is designed to enable Agentic Intelligence for enterprise applications, offering machine learning and data science professionals tools to tackle complex problems involving prediction with uncertainty or hidden factors The launch of Genius comes with significant upgrades and enhancements to its existing features, making it a comprehensive solution for enterprise intelligence Verses AI stock (CBOE:VERS) last traded at C$4.10 Cognitive computing company Verses AI (CBOE:VERS) announced the commercial launch of its flagship product, Genius. This platform is designed to enable Agentic Intelligence for enterprise applications, offering machine learning and data science professionals new tools to tackle complex problems involving prediction with uncertainty or hidden factors. Genius: A new era of intelligent enterprise solutions Genius aims to shift the landscape of enterprise intelligence with its advanced features and capabilities. The platform will be available as a paid service, offering flexible pricing plans that include consumption-based and performance-based options, as well as enterprise licenses. This approach ensures that organizations of all sizes can leverage Genius' capabilities according to their specific needs and usage patterns. Key features and enhancements The launch of Genius comes with significant upgrades and enhancements to its existing features, making it a comprehensive solution for enterprise intelligence. Key features include: Intelligent agents : Autonomous agents that can perform complex tasks and make decisions based on real-time data. : Autonomous agents that can perform complex tasks and make decisions based on real-time data. Model editor : A sophisticated tool for creating, editing, and optimizing machine learning models. : A sophisticated tool for creating, editing, and optimizing machine learning models. Application programming interfaces (APIs) : Robust APIs that facilitate seamless integration with existing enterprise systems. : Robust APIs that facilitate seamless integration with existing enterprise systems. Developer portal: A dedicated portal providing resources, documentation, and support for developers. A full list of models and capabilities is available on Verses' website. Transition from beta to commercial use Verses AI will be converting its current beta users into paying customers, marking a significant milestone in the platform's development. The company expects to begin rolling out access to qualified applicants from the thousands of developer sign-ups in the coming weeks. This transition underscores the platform's readiness for widespread adoption and its potential to drive innovation in enterprise intelligence. Target audience and pricing plans Genius' initial target audience includes machine learning and data science professionals who are focused on solving enterprise problems. The platform's flexible pricing plans cater to researchers, professionals, and enterprises, ensuring that users can select the plan that best fits their needs. Leadership insights 'With today's milestone, the commercial launch of Genius, VERSES transitions from research-led to revenue-driven,' Verses' CEO and founder, Gabriel René said in a news release. 'Enterprises face constant pressure to increase productivity, reduce costs, maintain competitive advantage, and manage risk—and they want to use AI Agents to help make smarter predictions and automate decisions that reflect their company's unique business and operational domain.' With the launch of Genius, Verses is in a position to redefine the standards of enterprise intelligence. The platform's advanced features and flexible pricing plans make it an attractive option for organizations looking to harness the power of Agentic Intelligence. About Verses AI Verses AI is a cognitive computing stock building next-generation intelligent software systems. Its flagship Genius product offers tools for machine learning practitioners to model and generate autonomous intelligent agents that reason, plan and learn in real time. Verses AI stock (CBOE:VERS) last traded at C$4.10 Join the discussion: Find out what everybody's saying about this AI technology stock on the Verses AI Inc. Bullboard and check out Stockhouse's stock forums and message boards. The material provided in this article is for information only and should not be treated as investment advice. For full disclaimer information, please click here. (Top image via Verses AI.)
