Latest news with #AXIOM
Hamilton Spectator
a day ago
- Business
- Hamilton Spectator
VERSES® Shareholder Update Letter
VANCOUVER, British Columbia, July 29, 2025 (GLOBE NEWSWIRE) — VERSES AI Inc. (CBOE: VERS) (OTCQB: VRSSF) ('VERSES'' or the 'Company'), a cognitive computing company specializing in next-generation agentic software systems releases a shareholder letter ahead of the corporate webinar today, Tuesday June 29th at 9:30am PT/12:30pm ET. Shareholder Update Summer 2025 Thank you to all of our investors and stakeholders who have supported us during the last few years, and especially during the most recent challenging times. We are hosting a webinar today and look forward to discussing these points in more detail and we encourage you to join us using this link: Here We are at day 1 of AI When we founded VERSES we were excited by the possibilities that AI and Spatial Computing offered to make the world smarter and better and we have been working hard to try to make that vision a reality. While some types of AI have become mainstream seemingly overnight, in our view, Enterprise AI adoption has, so far, been slow, especially for important tasks such as running a business, driving a car or logistics. In our view, slower than expected adoption isn't because of a lack of interest from large companies, but rather it is because Large Language Models (LLMs), while an incredible achievement, do not really perform tasks and are not reliable for many purposes. VERSES approach is based in science We believe our strategy is different and unique from other AI companies, so it's natural that many people still need to understand the full scope and application of what we are developing here at VERSES. We drew inspiration from human intelligence for a simple reason. Evolution has invested millions of years into brains and bodies that are efficient at thriving in our world. That's why, for example, a human brain operates on only 20 Watts. And it is why we can quickly adapt to a changing environment. Karl Friston, often listed as one of the world's most cited neuroscientist, is our Chief Scientist. He and others have, over the last few decades, described this process as 'active inference'. The brain models the world and checks it against what it senses. To do this, the brain runs experiments. It assesses how well its model works. Then, it tests this model in the real world. Based on the results, it decides whether to keep the current model or update it to better match reality. This process has been validated in multiple examples in numerous peer-reviewed journals demonstrating how actual neurons perform this process1, but people have generally believed these approaches are impossible to translate to computer science at a scalable level. Proof that it's working: Proof #1: AXIOM We recently unveiled what we believe is the world's first digital brain, AXIOM . AXIOM has different modules for vision, memory, prediction and reasoning. These then recombine to work together to sense, reason, plan, act and learn. In benchmarking, we have determined that AXIOM is more reliable and dramatically more efficient than other top models. Proof #2: Spatial Web Brains don't just make models - they test them in the physical world. That's why we led the process to establish the new Spatial Web standards. which we believe will allow AI agents to work together to solve problems, safely and securely. Proof #3: Customers This approach isn't theoretical - since the end of April we have started to sell it to enterprise customers through our product Genius ™. On use cases, we believe that our customers find Genius particularly useful where the data is uncertain, missing or volatile, and where they need a reliable and efficient solution. We recently announced that a large global financial institution signed an enterprise agreement to model financial markets. And we announced results of our pilot with Analog to optimize fleet management, which was estimated to create up to 32% better performance We believe smart cities can benefit from Genius, whether it's optimally managing autonomous cars, sensors, drones and robotics, or energy in the smart grid. Proof #4: Recognition We are increasingly recognized by journalists and mainstream media. WIRED called VERSES ' A Deep Learning Alternative Can Help AI Agents Gameplay the Real World '. In that feature, François Chollet, creator of the ARC-AGI benchmark, told WIRED that 'The general goals of the [VERSES] approach and some of its key features track with what I see as the most important problems to focus on to get to AGI… The work strikes me as very original.' What's the next big thing? We've shared with you how our technology can be applied to data problems, but one of the emerging frontiers, is robotics. We encourage you to view an important video from our robotics team showing some early progress powering robots that can perform challenging tasks in real world scenarios, without training. You can view the video here: . Robots typically struggle to tackle challenges such as unanticipated objects in their way or a challenge not in their training data. Our approach promises to tackle this - and we expect to publish more information soon. Thank you, VERSES Team About VERSES VERSES® is a cognitive computing company building next-generation intelligent software systems modeled after the wisdom and genius of Nature. Designed around first principles found in science, physics and biology, our flagship product, Genius™, is an agentic enterprise intelligence platform designed to generate reliable domain-specific predictions and decisions under uncertainty. Imagine a Smarter World that elevates human potential through technology inspired by Nature. Learn more at , LinkedIn and X . On behalf of the Company Gabriel René, Founder & CEO, VERSES AI Inc. Press Inquiries: press@ Investor Relations Inquiries James Christodoulou, Chief Financial Officer IR@ , +1(212)970-8889 Cautionary Note Regarding Forward-Looking Statements This news release contains statements which constitute 'forward-looking information' or 'forward-looking statements' within the meaning of applicable securities laws, including statements regarding the plans, intentions, beliefs and current expectations of the Company with respect to future business activities and plans of the Company. Forward-looking information and forward-looking statements are often identified by the words 'may', 'would', 'could', 'should', 'will', 'intend', 'plan', 'anticipate', 'believe', 'estimate', 'expect' or similar expressions. The forward–looking statements and information are based on certain key expectations and assumptions made by the management of the Company. As a result, there can be no assurance that such plans will be completed as proposed or at all. Such forward-looking statements are based on a number of assumptions of management. Although management of the Company believes that the expectations and assumptions on which such forward-looking statements and information are based are reasonable, undue reliance should not be placed on the forward–looking statements and information since no assurance can be given that they will prove to be correct. Forward-looking statements and information are provided for the purpose of providing information about the current expectations and plans of management of the Company relating to the future. Readers are cautioned that reliance on such statements and information may not be appropriate for other purposes, such as making investment decisions. Since forward–looking statements and information address future events and conditions, by their very nature they involve inherent risks and uncertainties. Actual results could differ materially from those currently anticipated due to a number of factors and risks. Accordingly, readers should not place undue reliance on the forward–looking statements and information contained in this news release. Readers are cautioned that the foregoing list of factors is not exhaustive. The forward–looking statements and information contained in this news release are made as of the date hereof and no undertaking is given to update publicly or revise any forward–looking statements or information, whether as a result of new information, future events or otherwise, unless so required by applicable securities laws. The forward-looking statements or information contained in this news release are expressly qualified by this cautionary statement. 1 For instance Canonical neural networks perform active inference
Toronto Star
a day ago
- Business
- Toronto Star
VERSES® Shareholder Update Letter
VANCOUVER, British Columbia, July 29, 2025 (GLOBE NEWSWIRE) — VERSES AI Inc. (CBOE: VERS) (OTCQB: VRSSF) ('VERSES'' or the 'Company'), a cognitive computing company specializing in next-generation agentic software systems releases a shareholder letter ahead of the corporate webinar today, Tuesday June 29th at 9:30am PT/12:30pm ET. Shareholder Update Summer 2025 Thank you to all of our investors and stakeholders who have supported us during the last few years, and especially during the most recent challenging times. We are hosting a webinar today and look forward to discussing these points in more detail and we encourage you to join us using this link: Here We are at day 1 of AI When we founded VERSES we were excited by the possibilities that AI and Spatial Computing offered to make the world smarter and better and we have been working hard to try to make that vision a reality. ARTICLE CONTINUES BELOW While some types of AI have become mainstream seemingly overnight, in our view, Enterprise AI adoption has, so far, been slow, especially for important tasks such as running a business, driving a car or logistics. In our view, slower than expected adoption isn't because of a lack of interest from large companies, but rather it is because Large Language Models (LLMs), while an incredible achievement, do not really perform tasks and are not reliable for many purposes. VERSES approach is based in science We believe our strategy is different and unique from other AI companies, so it's natural that many people still need to understand the full scope and application of what we are developing here at VERSES. We drew inspiration from human intelligence for a simple reason. Evolution has invested millions of years into brains and bodies that are efficient at thriving in our world. That's why, for example, a human brain operates on only 20 Watts. And it is why we can quickly adapt to a changing environment. Karl Friston, often listed as one of the world's most cited neuroscientist, is our Chief Scientist. He and others have, over the last few decades, described this process as 'active inference'. The brain models the world and checks it against what it senses. To do this, the brain runs experiments. It assesses how well its model works. Then, it tests this model in the real world. Based on the results, it decides whether to keep the current model or update it to better match reality. ARTICLE CONTINUES BELOW ARTICLE CONTINUES BELOW This process has been validated in multiple examples in numerous peer-reviewed journals demonstrating how actual neurons perform this process1, but people have generally believed these approaches are impossible to translate to computer science at a scalable level. Proof that it's working: Proof #1: AXIOM We recently unveiled what we believe is the world's first digital brain, AXIOM. AXIOM has different modules for vision, memory, prediction and reasoning. These then recombine to work together to sense, reason, plan, act and learn. In benchmarking, we have determined that AXIOM is more reliable and dramatically more efficient than other top models. Proof #2: Spatial Web Brains don't just make models - they test them in the physical world. That's why we led the process to establish the new Spatial Web standards. which we believe will allow AI agents to work together to solve problems, safely and securely. Proof #3: Customers This approach isn't theoretical - since the end of April we have started to sell it to enterprise customers through our product Genius ™. On use cases, we believe that our customers find Genius particularly useful where the data is uncertain, missing or volatile, and where they need a reliable and efficient solution. ARTICLE CONTINUES BELOW ARTICLE CONTINUES BELOW We recently announced that a large global financial institution signed an enterprise agreement to model financial markets. And we announced results of our pilot with Analog to optimize fleet management, which was estimated to create up to 32% better performance We believe smart cities can benefit from Genius, whether it's optimally managing autonomous cars, sensors, drones and robotics, or energy in the smart grid. Proof #4: Recognition We are increasingly recognized by journalists and mainstream media. WIRED called VERSES ' A Deep Learning Alternative Can Help AI Agents Gameplay the Real World '. In that feature, François Chollet, creator of the ARC-AGI benchmark, told WIRED that 'The general goals of the [VERSES] approach and some of its key features track with what I see as the most important problems to focus on to get to AGI… The work strikes me as very original.' What's the next big thing? We've shared with you how our technology can be applied to data problems, but one of the emerging frontiers, is robotics. We encourage you to view an important video from our robotics team showing some early progress powering robots that can perform challenging tasks in real world scenarios, without training. You can view the video here: ARTICLE CONTINUES BELOW ARTICLE CONTINUES BELOW Robots typically struggle to tackle challenges such as unanticipated objects in their way or a challenge not in their training data. Our approach promises to tackle this - and we expect to publish more information soon. Thank you, VERSES Team About VERSES VERSES® is a cognitive computing company building next-generation intelligent software systems modeled after the wisdom and genius of Nature. Designed around first principles found in science, physics and biology, our flagship product, Genius™, is an agentic enterprise intelligence platform designed to generate reliable domain-specific predictions and decisions under uncertainty. Imagine a Smarter World that elevates human potential through technology inspired by Nature. Learn more at LinkedIn and X. On behalf of the Company Gabriel René, Founder & CEO, VERSES AI Inc. Press Inquiries: press@ Investor Relations Inquiries James Christodoulou, Chief Financial Officer IR@ +1(212)970-8889 Cautionary Note Regarding Forward-Looking Statements This news release contains statements which constitute 'forward-looking information' or 'forward-looking statements' within the meaning of applicable securities laws, including statements regarding the plans, intentions, beliefs and current expectations of the Company with respect to future business activities and plans of the Company. Forward-looking information and forward-looking statements are often identified by the words 'may', 'would', 'could', 'should', 'will', 'intend', 'plan', 'anticipate', 'believe', 'estimate', 'expect' or similar expressions. The forward–looking statements and information are based on certain key expectations and assumptions made by the management of the Company. As a result, there can be no assurance that such plans will be completed as proposed or at all. Such forward-looking statements are based on a number of assumptions of management. Although management of the Company believes that the expectations and assumptions on which such forward-looking statements and information are based are reasonable, undue reliance should not be placed on the forward–looking statements and information since no assurance can be given that they will prove to be correct. Forward-looking statements and information are provided for the purpose of providing information about the current expectations and plans of management of the Company relating to the future. Readers are cautioned that reliance on such statements and information may not be appropriate for other purposes, such as making investment decisions. Since forward–looking statements and information address future events and conditions, by their very nature they involve inherent risks and uncertainties. Actual results could differ materially from those currently anticipated due to a number of factors and risks. Accordingly, readers should not place undue reliance on the forward–looking statements and information contained in this news release. Readers are cautioned that the foregoing list of factors is not exhaustive. The forward–looking statements and information contained in this news release are made as of the date hereof and no undertaking is given to update publicly or revise any forward–looking statements or information, whether as a result of new information, future events or otherwise, unless so required by applicable securities laws. The forward-looking statements or information contained in this news release are expressly qualified by this cautionary statement. 1 For instance Canonical neural networks perform active inference
Hamilton Spectator
12-06-2025
- Business
- Hamilton Spectator
VERSES® 'Digital Brain' Featured in WIRED and Popular Mechanics
VANCOUVER, British Columbia, June 12, 2025 (GLOBE NEWSWIRE) — VERSES AI Inc. (CBOE: VERS; OTCQB: VRSSF) ('VERSES' or the 'Company') a cognitive computing company specializing in next-generation agentic software systems today announced important third-party recognition of its digital-brain architecture, AXIOM, following features in WIRED and Popular Mechanics and public acknowledgement from ARC-AGI benchmark creator François Chollet. WIRED: A 'very original' path to AGI In WIRED 's feature ' A Deep Learning Alternative Can Help AI Agents Gameplay the Real World ,' senior writer Will Knight describes AXIOM as 'a new machine-learning approach that draws inspiration from how the human brain models and learns about the world.' He adds that it 'offers an alternative to the artificial neural networks dominant in modern AI' and highlights its 'impressive efficiency' across multiple video-game environments. François Chollet—Keras inventor, TIME 100 AI honoree, and creator of the ARC-AGI benchmark—told WIRED : 'The general goals of the [VERSES] approach and some of its key features track with what I see as the most important problems to focus on to get to AGI… The work strikes me as very original… We need more people trying out new ideas away from the beaten path of large language models.' Chollet also posted on acknowledging that active inference—as demonstrated by AXIOM, where agents act to reduce uncertainty by aligning their internal world models with reality—is 'badly missing from the deep-learning era' and '100% correct' New Benchmarks For AGI - Gameworlds Chollet's well known benchmark for AGI known as ARC-AGI—which measures progress toward general intelligence—tests AI systems on spatial-reasoning tasks and is used by OpenAI, Google, Anthropic, and others as the industry's gold standard. ARC-AGI 3, the next installment of this benchmark, is expected to deploy 100+ novel game worlds to test a new set of capabilities. We believe that this reflects the AI community's move from static Q&A to interactive environments, where games serve as the medium to force agents to explore, form hypotheses, and spontaneously generalize. AXIOM's Active-Inference engine has already demonstrated these skills: it learns unfamiliar worlds, plans by minimizing uncertainty, and adapts in real time— using its cognitive architecture. On the Gameworld 10K benchmark, AXIOM outperformed Google DeepMind's DreamerV3 by up to 60%, used 99% less compute, and learned 39× faster as validated by Soothsayer Analytics, in June. Popular Mechanics: 'This breakthrough could redefine intelligence forever.' Popular Mechanics also published a feature article titled ' This AI Model Can Mimic Human Thought—And May Even Be Capable of Reading Your Mind ,' calling Genius—VERSES' product suite powered by AXIOM— 'a level up from existing AI' and noting that Genius agents run on watts instead of gigawatts and can operate from a laptop battery rather than the cloud. The article begins: 'AI is learning to think like us, bridging the worlds of biology and technology. This breakthrough could redefine intelligence forever.' 'AXIOM was built for interactive intelligence—exploring, planning, and learning in real time,' said VERSES CEO Gabriel René. 'Active Inference is designed to master new worlds faster, with far less compute and human-like adaptability—bringing us closer to truly human-level AI and, we believe, positioning VERSES as the market leader.' Notes to editors About VERSES VERSES® is a cognitive computing company building next-generation intelligent software systems modeled after the wisdom and genius of Nature. Designed around first principles found in science, physics and biology, our flagship product, Genius,™ is an agentic enterprise intelligence platform designed to generate reliable domain-specific predictions and decisions under uncertainty. Imagine a Smarter World that elevates human potential through technology inspired by Nature. Learn more at , LinkedIn and X . On behalf of the Company Gabriel René, Founder & CEO, VERSES AI Inc. Press Inquiries: press@ Investor Relations Inquiries James Christodoulou, Chief Financial Officer IR@ , +1(212)970-8889
Associated Press
12-06-2025
- Business
- Associated Press
VERSES® 'Digital Brain' Featured in WIRED and Popular Mechanics
VANCOUVER, British Columbia, June 12, 2025 (GLOBE NEWSWIRE) -- VERSES AI Inc. (CBOE: VERS; OTCQB: VRSSF) ('VERSES' or the 'Company') a cognitive computing company specializing in next-generation agentic software systems today announced important third-party recognition of its digital-brain architecture, AXIOM, following features in WIRED and Popular Mechanics and public acknowledgement from ARC-AGI benchmark creator François Chollet. WIRED: A 'very original' path to AGI In WIRED 's feature ' A Deep Learning Alternative Can Help AI Agents Gameplay the Real World,' senior writer Will Knight describes AXIOM as 'a new machine-learning approach that draws inspiration from how the human brain models and learns about the world.' He adds that it 'offers an alternative to the artificial neural networks dominant in modern AI' and highlights its 'impressive efficiency' across multiple video-game environments. François Chollet—Keras inventor, TIME 100 AI honoree, and creator of the ARC-AGI benchmark—told WIRED: 'The general goals of the [VERSES] approach and some of its key features track with what I see as the most important problems to focus on to get to AGI… The work strikes me as very original… We need more people trying out new ideas away from the beaten path of large language models.' Chollet also posted on acknowledging that active inference—as demonstrated by AXIOM, where agents act to reduce uncertainty by aligning their internal world models with reality—is 'badly missing from the deep-learning era' and '100% correct' New Benchmarks For AGI - Gameworlds Chollet's well known benchmark for AGI known as ARC-AGI—which measures progress toward general intelligence—tests AI systems on spatial-reasoning tasks and is used by OpenAI, Google, Anthropic, and others as the industry's gold standard. ARC-AGI 3, the next installment of this benchmark, is expected to deploy 100+ novel game worlds to test a new set of capabilities. We believe that this reflects the AI community's move from static Q&A to interactive environments, where games serve as the medium to force agents to explore, form hypotheses, and spontaneously generalize. AXIOM's Active-Inference engine has already demonstrated these skills: it learns unfamiliar worlds, plans by minimizing uncertainty, and adapts in real time— using its cognitive architecture. On the Gameworld 10K benchmark, AXIOM outperformed Google DeepMind's DreamerV3 by up to 60%, used 99% less compute, and learned 39× faster as validated by Soothsayer Analytics, in June. Popular Mechanics: 'This breakthrough could redefine intelligence forever.' Popular Mechanics also published a feature article titled ' This AI Model Can Mimic Human Thought—And May Even Be Capable of Reading Your Mind,' calling Genius—VERSES' product suite powered by AXIOM— 'a level up from existing AI' and noting that Genius agents run on watts instead of gigawatts and can operate from a laptop battery rather than the cloud. The article begins: 'AI is learning to think like us, bridging the worlds of biology and technology. This breakthrough could redefine intelligence forever.' 'AXIOM was built for interactive intelligence—exploring, planning, and learning in real time,' said VERSES CEO Gabriel René. 'Active Inference is designed to master new worlds faster, with far less compute and human-like adaptability—bringing us closer to truly human-level AI and, we believe, positioning VERSES as the market leader.' Notes to editors About VERSES VERSES® is a cognitive computing company building next-generation intelligent software systems modeled after the wisdom and genius of Nature. Designed around first principles found in science, physics and biology, our flagship product, Genius,™ is an agentic enterprise intelligence platform designed to generate reliable domain-specific predictions and decisions under uncertainty. Imagine a Smarter World that elevates human potential through technology inspired by Nature. Learn more at LinkedIn and X. On behalf of the Company Gabriel René, Founder & CEO, VERSES AI Inc. James Christodoulou, Chief Financial Officer [email protected], +1(212)970-8889
Yahoo
12-06-2025
- Business
- Yahoo
VERSES® 'Digital Brain' Featured in WIRED and Popular Mechanics
New AXIOM model captures mainstream headlines and industry acclaim VANCOUVER, British Columbia, June 12, 2025 (GLOBE NEWSWIRE) -- VERSES AI Inc. (CBOE: VERS; OTCQB: VRSSF) ('VERSES' or the 'Company') a cognitive computing company specializing in next-generation agentic software systems today announced important third-party recognition of its digital-brain architecture, AXIOM, following features in WIRED and Popular Mechanics and public acknowledgement from ARC-AGI benchmark creator François Chollet. WIRED: A 'very original' path to AGI In WIRED's feature 'A Deep Learning Alternative Can Help AI Agents Gameplay the Real World,' senior writer Will Knight describes AXIOM as 'a new machine-learning approach that draws inspiration from how the human brain models and learns about the world.' He adds that it 'offers an alternative to the artificial neural networks dominant in modern AI' and highlights its 'impressive efficiency' across multiple video-game environments. François Chollet—Keras inventor, TIME 100 AI honoree, and creator of the ARC-AGI benchmark—told WIRED: 'The general goals of the [VERSES] approach and some of its key features track with what I see as the most important problems to focus on to get to AGI… The work strikes me as very original… We need more people trying out new ideas away from the beaten path of large language models.' Chollet also posted on acknowledging that active inference—as demonstrated by AXIOM, where agents act to reduce uncertainty by aligning their internal world models with reality—is 'badly missing from the deep-learning era' and '100% correct' New Benchmarks For AGI - Gameworlds Chollet's well known benchmark for AGI known as ARC-AGI—which measures progress toward general intelligence—tests AI systems on spatial-reasoning tasks and is used by OpenAI, Google, Anthropic, and others as the industry's gold standard. ARC-AGI 3, the next installment of this benchmark, is expected to deploy 100+ novel game worlds to test a new set of capabilities. We believe that this reflects the AI community's move from static Q&A to interactive environments, where games serve as the medium to force agents to explore, form hypotheses, and spontaneously generalize. AXIOM's Active-Inference engine has already demonstrated these skills: it learns unfamiliar worlds, plans by minimizing uncertainty, and adapts in real time— using its cognitive architecture. On the Gameworld 10K benchmark, AXIOM outperformed Google DeepMind's DreamerV3 by up to 60%, used 99% less compute, and learned 39× faster as validated by Soothsayer Analytics, in June. Popular Mechanics: 'This breakthrough could redefine intelligence forever.' Popular Mechanics also published a feature article titled 'This AI Model Can Mimic Human Thought—And May Even Be Capable of Reading Your Mind,' calling Genius—VERSES' product suite powered by AXIOM—'a level up from existing AI' and noting that Genius agents run on watts instead of gigawatts and can operate from a laptop battery rather than the cloud. The article begins: 'AI is learning to think like us, bridging the worlds of biology and technology. This breakthrough could redefine intelligence forever.' 'AXIOM was built for interactive intelligence—exploring, planning, and learning in real time,' said VERSES CEO Gabriel René. 'Active Inference is designed to master new worlds faster, with far less compute and human-like adaptability—bringing us closer to truly human-level AI and, we believe, positioning VERSES as the market leader.' Notes to editors The Wired article can be found at: The Popular Mechanics article can be found at: Soothsayer Analytics have validated the Axiom model. Further details can be found at: About VERSES VERSES® is a cognitive computing company building next-generation intelligent software systems modeled after the wisdom and genius of Nature. Designed around first principles found in science, physics and biology, our flagship product, Genius,™ is an agentic enterprise intelligence platform designed to generate reliable domain-specific predictions and decisions under uncertainty. Imagine a Smarter World that elevates human potential through technology inspired by Nature. Learn more at LinkedIn and X. On behalf of the CompanyGabriel René, Founder & CEO, VERSES AI Inquiries: press@ Relations InquiriesJames Christodoulou, Chief Financial Officer IR@ +1(212)970-8889
