VERSES
@helloVERSES
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VERSES is a cognitive computing company building next-generation agentic software systems inspired by Nature.
Joined May 2022
Genius™-Powered Agents Outperform World’s Leading AI Algorithms in Atari Benchmark with 90% Less Data, 96% Faster Training, 96% Smaller Model Size https://t.co/QJWFurRk7d
verses.ai
Genius™ is a toolkit that enables machine learning engineers to empower agents with cognition and the ability to continuously reason, plan, learn.
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VERSES® Closes Financing Arrangement with a Notional Value of CAD$14 Million and Receives First Tranche of CAD$700,000
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VERSES highlights 2025 physical AI breakthroughs with Genius: https://t.co/khB2lQSiAW
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Thank you for the mention @Scobleizer
If @kscalelabs robotics can't get funding, why should the US government prop up OpenAI? In the competition with China having a strong robotics ecosystem is far more important than keeping an LLM builder up and running. The technology under robotics is changing away from LLMs to
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VERSES Announces Financing Agreement with a Notional Value of CAD$14 Million and Reduces Staff to Streamline Operations Funding and operational initiatives are intended to strengthen balance sheet and focus on high-growth priorities https://t.co/kt1NFlVXS7
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The International Workshop on Active Inference (IWAI) has reached an inflection point. What began six years ago as a handful of researchers exploring an alternative to traditional AI now stands as a growing movement, and this year’s conference marked a transition from theory
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NEWS: VERSES Recognized in Gartner® 2025 Emerging Tech Impact Radar: Spatial AI “The Spatial Web, where digital + physical systems converge, is the infrastructure needed to enable the next frontier in AI.” — Gabriel René, CEO 🔗 https://t.co/yjhEZWJcTt
#AI #Gartner
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Thank you to all our partners and friends who have made #IWAI such a success so far this year.
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What is the future of AI? At #IWAI today VERSES Chief Scientist Karl Friston talks to @GaryMarcus , Professor Emeritus at New York University and author of Rebooting AI: Building Artificial Intelligence We Can Trust.
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@MahaultAlbarra1 You can find more information about our work at IWAI at https://t.co/7XYmLQHzQw
🤖Robots that don’t need to be trained? 🧠 A digital brain? 😊Agents that can infer emotions? All of these are covered by peer-reviewed papers/posters that Versians are presenting this week at the International Workshop on Active Inference (IWAI) conference in Montréal, Quebec,
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#IWAI, the leading active inference conference, starts today in Montréal. VERSIANS have 12 peer reviewed papers & posters being presented this week. @MahaultAlbarra1, IWAI co-chair and our Director of Research Strategy and Product Integration, opened the conference today and is
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Well done for getting to the end of this post! If you want to find out more about IWAI then tune in to our social media channels as the week goes on.
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*Bayesian Structure Learning for Scalable Active Inference* by Lancelot Da Costa. This paper proposes how AI agents should discover how to understand their world by themselves, like figuring out the rules of a game while playing it, rather than using pre-programmed models. These
openreview.net
Promoting openness in scientific communication and the peer-review process
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*Updating ActiveInference.jl: Modularity and Ease of Use for Active Inference Models Beyond the Discrete POMDP* by Peter Thestrup Waade, John C. Boik, Jonathan Ehrenreich Laursen, Samuel William Nehrer, Dominik Firisz, Chris Mathys The active inference framework has been used
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*Performing Active Inference with Explainable Tensor Networks* by Philip Wilson In this work, we encode the generative model of an active inference agent into a quantum state. This quantum state is represented efficiently and transparently in a Tensor Network. This opens up the
linkedin.com
I am very excited to announce the completion of my Master Thesis on Explainable Quantum Active Inference!! I want to thank my supervisors for giving me the freedom and support to accomplish a Thesis...
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"A Hardware-oriented Approach for Efficient Active Inference Computation and Deployment" by N. Pizurica, N. Milovic, I. Jovancevic, C. Heins, and M. de Prado In the past it has been challenging to deploy active inference on edge devices. We have combined Python's flexibility and
openreview.net
Promoting openness in scientific communication and the peer-review process
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*Resilience and adaptability in self-evidencing systems* by Dalton Sakthivadivel, Mahault Albarracin This paper explains what constitutes the identity of a system even though it changes through a mathematical approach. This has implications for Domains (HSML) for example, which
arxiv.org
In this paper we will articulate a view of resilience under the free energy principle and vice versa. The free energy principle is about existence and identity, and resilience is the condition...
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*Diffusion-Generated Latent Spaces for Continuous Amortized Active Inference Agents: A Mathematical Framework* by Zahra Sheikhbahaee, Adam Safron, Dalton A R Sakthivadivel, Mahault Albarracin, Irina Rish This paper proposes a new way for active-inference agents to represent
openreview.net
Promoting openness in scientific communication and the peer-review process
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