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    Agentic rulebooks using active inference: An artificial intelligence application for environmental sustainability

    Resources – Scientific Research Papers Agentic rulebooks using active inference: An artificial intelligence application for environmental sustainability Axel Constant, Marco Perin, Hari Thiruvengada, and Karl…

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    Denise Holt April 16, 2025

    Exclusive Inside Look: One-on-One with Cortical Labs’ Chief Scientist - From DishBrain to CL1

    Fusing neurons with silicon chips might sound like science fiction, but for Cortical Labs, it represents what's possible in AI and computing.
    denise-h
    Denise Holt April 16, 2025

    Beyond Imitation Games: A Falsifiable Emergent Sentience Framework

    The paper by Hipolito, Albarracin, and Hynes presents a framework for minimal sentience based on self-maintenance, adaptability, and agency. It emphas…
    denise-h
    Denise Holt March 13, 2025

    Beyond Imitation Games: A Falsifiable Emergent Sentience Framework

    VERSES Research Blog - by Ines Hipolito - "As artificial intelligence weaves itself ever more tightly into the fabric of society an age-old question l…
    denise-h
    Denise Holt March 13, 2025

    Benchmarking Predictive Coding Networks Made Simple

    VERSES AI Research Blog - "Artificial intelligence (AI), as exemplified by large models such as ChatGPT, is one of the key technologies of this centur…
    denise-h
    Denise Holt March 6, 2025

    Noumenal Labs White Paper: How To Build A Brain

    The Noumenal Labs White Paper outlines design principles for artificial intelligence, focusing on resolving the grounding problem. It emphasizes creat…
    denise-h
    Denise Holt February 20, 2025

    The Dawn of True AI Agency: Why Active Inference is Surpassing LLMs and Shaping the Future

    We stand at a critical juncture in AI that few truly understand. LLMs can automate tasks but lack true agency. AI “agency” represents a fundamenta…
    denise-h
    Denise Holt February 17, 2025

    Benchmarking Predictive Coding Networks — Made Simple

    The paper addresses efficiency and scalability issues in predictive coding networks (PCNs) by introducing a library called PCX. This open-source tool …
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    Denise Holt February 14, 2025

    Variational Bayes Gaussian Splatting: A Bayesian Approach for Continual 3D Learning

    VERSES AI Research Blog - "In recent years, computer vision has made remarkable progress in understanding 3D scenes, fueled by innovations like Neural…
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    Denise Holt February 12, 2025

    Gradient-free variational learning with conditional mixture networks

    The study introduces CAVICMN, a gradient-free variational method for training conditional mixture networks (CMNs), enhancing computational efficiency …
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    Denise Holt February 10, 2025
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    Gradient-free variational learning with conditional mixture networks

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