Latest news with #cognitivecomputing
Yahoo
3 days ago
- Business
- Yahoo
VERSES Announces Filing of Quarterly Report on Form 10-Q
VANCOUVER, British Columbia, Aug. 14, 2025 (GLOBE NEWSWIRE) -- VERSES AI Inc. (CBOE: VERS) (OTCQB: VRSSF) ("VERSES" or the "Company"), a cognitive computing company pioneering next-generation agentic software systems today announced that it has filed its Quarterly Report on Form 10-Q ('Quarterly Report') for the three months ended June 30, 2025, with the U.S. Securities and Exchange Commission ('SEC'). 'We are pleased to report our results for the three months ending June 30, 2025 in our Quarterly Report on Form 10-Q. I believe these results demonstrate disciplined cost management, even as Verses begins to scale and commercialize, market and sell its flagship product Genius. The results also highlight the first revenue generated by Genius after only two months following its launch. I believe that these results underscore our prudent approach to managing cash as well as the strong customer interest we've anticipated from the outset. We are all energized by this momentum as we head into the remainder of the year,' said James Christodoulou, CFO of VERSES. The Quarterly Report is available on the SEC's website at under the Company's filings, as well as on the Company's investor relations website. About VERSES® is a cognitive computing company building next-generation agentic 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. For more information, please visit On behalf of the CompanyGabriel René, Founder & CEO, VERSES AI Inquiries: press@ Relations InquiriesJames 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. More particularly and without limitation, this news release contains forward–looking statements and information including, but not limited to that the Company's robotics models have the potential to transform how robots operate across industries, and that the Company's robotics models could unlock a new era of truly adaptive, reliable automation. 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. 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 produjo un error al recuperar la información Inicia sesión para acceder a tu portafolio Se produjo un error al recuperar la información Se produjo un error al recuperar la información Se produjo un error al recuperar la información Se produjo un error al recuperar la información
Yahoo
14-07-2025
- Business
- Yahoo
VERSES® Announces Closing of C$9,573,758 (US$7,000,331) Public Offering of Units
VANCOUVER, British Columbia, July 14, 2025 (GLOBE NEWSWIRE) -- VERSES AI Inc. (CBOE:VERS) (OTCQB:VRSSD) ("VERSES'' or the "Company'), a cognitive computing company specializing in next-generation intelligent software systems, is pleased to announce that it has closed its previously announced public offering of 1,007,764 units (the 'Units') of the Company at a price of C$9.50 (US$6.946) per Unit (the 'Offering'). Pursuant to the Offering, the Company raised gross proceeds of approximately C$9,573,758 (US$7,000,331), before deducting commissions and estimated expenses incurred in connection with the Offering. Each Unit is comprised of one Class A Subordinate Voting Share of the Company (a 'Share') and one-half of one Share purchase warrant (each whole Share purchase warrant, a 'Warrant'). Each Warrant entitles the holder to purchase one Share of the Company (a 'Warrant Share') at an exercise price of C$11.50 (US$8.409) per Warrant Share at any time until the date that is 36 months from the date of issuance, subject to adjustment in certain events. The Offering was completed pursuant to an agency agreement dated July 8, 2025 among the Company, A.G.P. Canada Investments ULC and A.G.P./Alliance Global Partners (collectively, the 'Agents'). A.G.P. Canada Investments ULC acted as lead Agent for the Offering and A.G.P./Alliance Global Partners acted as U.S. Agent for the Offering. The net proceeds of the Offering are intended to strengthen the Company's financial position and provide liquidity to finance continuing operations, including, in particular, the Company's expenses incurred, and expected to be incurred, in connection with the Company's research and development objectives, and for working capital and general corporate purposes. In connection with the Offering, the Company paid the Agents a cash commission of C$450,000 and issued to the Agents 35,271 compensation warrants (the 'Compensation Warrants'). Each Compensation Warrant is exercisable into a Share at an exercise price of C$11.50 (US$8.409) per Share until the date that is 36 months after the date of issuance. In addition, the Company paid a cash fee of US$250,000 (C$341,904) and issued 75,000 corporate finance fee warrants to a financial advisor, with such corporate finance fee warrants having identical terms to the Compensation Warrants. The Offering was completed in Canada pursuant to a prospectus supplement dated July 9, 2025 (the 'Supplement') to the Company's base shelf prospectus receipted on September 26, 2024 (the "Base Shelf Prospectus"). The Supplement was filed with the securities commissions in all of the provinces and territories of Canada, except Quebec, and with the U.S. Securities and Exchange Commission (the 'SEC') in the United States. Copies of the Supplement and the Base Shelf Prospectus can be obtained on SEDAR+ at The Offering was conducted in the United States pursuant to a U.S. registration statement on Form F-10, declared effective by the SEC on October 1, 2024 (File No. 333-282301) (as amended, the 'Registration Statement'), which includes the Base Shelf Prospectus. The Registration Statement, including the Base Shelf Prospectus, as well as the Supplement are available in the United States on EDGAR at This news release shall not constitute an offer to sell or the solicitation of an offer to buy, nor shall there be any sale of these securities in any province, state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to the registration or qualification under the securities laws of any such province, state or jurisdiction. References to 'US$' are to United States dollars and references to or 'C$' are to Canadian dollars. On July 8, 2025, the noon buying rate as reported by the Bank of Canada for the conversion of one Canadian dollar into United States dollars was C$1.00 equals US$0.7312. The Shares are currently trading in Canada on the Cboe Canada exchange under the symbol 'VERS' and in the United States on the OTCQB under the symbol 'VRSSD'. About VERSES VERSES is a cognitive computing company building next-generation intelligent software systems modeled after the wisdom and genius of Nature. On behalf of the Company Gabriel René, Founder & CEO, VERSES AI Inc. Press Inquiries: press@ Investor Relations Inquiries James Christodoulou, Chief Financial Officer, Verses AI 970-8889 Cautionary Note Regarding Forward-Looking Statements This news release contains "forward-looking information" and 'forward-looking statements' under applicable securities laws. All information that addresses activities or developments that we expect to occur in the future is forward-looking information. Forward-looking statements are based on the estimates and opinions of management on the date the statements are made. In this news release, such forward-looking statements include, but are not limited to, statements regarding the anticipated use of proceeds from the Offering. Actual results may differ materially from those set forth in this news release due to known and unknown risks and uncertainties affecting the Company, including the risks detailed in the Supplement, the accompanying Base Shelf Prospectus and the documents incorporated by reference therein. Any forward-looking information speaks only as of the date on which it is made and, except as may be required by applicable securities laws, the Company disclaims any intent or obligation to update or revise such forward-looking information, whether as a result of new information, future events or results or otherwise. Investors are cautioned not to rely on these forward-looking statements and are encouraged to read the Supplement, the accompanying Base Shelf Prospectus and the documents incorporated by reference therein. The CBOE has not approved or disapproved the contents of this news release and is not responsible for the adequacy and accuracy of the contents herein.
WIRED
11-06-2025
- Science
- WIRED
A Deep Learning Alternative Can Help AI Agents Gameplay the Real World
Jun 11, 2025 12:30 PM A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI. Photo-Illustration: WIRED Staff; Getty Images A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with impressive efficiency. The new system, called Axiom, offers an alternative to the artificial neural networks that are dominant in modern AI. Axiom, developed by a software company called Verse AI, is equipped with prior knowledge about the way objects physically interact with each other in the game world. It then uses an algorithm to model how it expects the game to act in response to input, which is updated based on what it observes—a process dubbed active inference. The approach draws inspiration from the free energy principle, a theory that seeks to explain intelligence using principles drawn from math, physics, and information theory as well as biology. The free energy principle was developed by Karl Friston, a renowned neuroscientist who is chief scientist at 'cognitive computing' company Verses. Friston told me over video from his home in London that the approach may be especially important for building AI agents. 'They have to support the kind of cognition that we see in real brains,' he said. 'That requires a consideration, not just of the ability to learn stuff but actually to learn how you act in the world.' The conventional approach to learning to play games involves training neural networks through what is known as deep reinforcement learning, which involves experimenting and tweaking their parameters in response to either positive or negative feedback. The approach can produce superhuman game-playing algorithms but it requires a great deal of experimentation to work. Axiom masters various simplified versions of popular video games called drive, bounce, hunt, and jump using far fewer examples and less computation power. 'The general goals of the approach and some of its key features track with what I see as the most important problems to focus on to get to AGI,' says François Chollet, an AI researcher who developed ARC 3, a benchmark designed to test the capabilities of modern AI algorithms. Chollet is also exploring novel approaches to machine learning, and is using his benchmark to test models' abilities to learn how to solve unfamiliar problems rather than simply mimic previous examples. 'The work strikes me as very original, which is great,' he says. 'We need more people trying out new ideas away from the beaten path of large language models and reasoning language models.' Modern AI relies on artificial neural networks that are roughly inspired by the wiring of the brain but work in a fundamentally different way. Over the past decade and a bit, deep learning, an approach that uses neural networks, has enabled computers to do all sorts of impressive things including transcribe speech, recognize faces, and generate images. Most recently, of course, deep learning has led to the large language models that power garrulous and increasingly capable chatbots. Axiom, in theory, promises a more efficient approach to building AI from scratch. It might be especially effective for creating agents that need to learn efficiently from experience, says Gabe René, the CEO of Verses. René says one finance company has begun experimenting with the company's technology as a way of modeling the market. 'It is a new architecture for AI agents that can learn in real time and is more accurate, more efficient, and much smaller,' René says. 'They are literally designed like a digital brain.' Somewhat ironically, given that Axiom offers an alternative to modern AI and deep learning, the free energy principle was originally influenced by the work of British Canadian computer scientist Geoffrey Hinton, who was awarded both the Turing award and the Nobel Prize for his pioneering work on deep learning. Hinton was a colleague of Friston's at University College London for years. For more on Friston and the free energy principle, I highly recommend this 2018 WIRED feature article. Friston's work also influenced an exciting new theory of consciousness, described in a book WIRED reviewed in 2021.
