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    Tag: 2023

    Turning Point in AI - Leaders Rally for a Natural AI Initiative

    A pivotal roundtable discussion held by the Boston Global Forum, the Active Inference Institute, and the Neuropsychiatry and Society Program on Decemb…
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    Denise Holt December 29, 2023

    Shared Protentions in Multi-Agent Active Inference

    The paper integrates Husserlian phenomenology, active inference in theoretical biology, and category theory to create a framework for understanding so…
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    Denise Holt December 22, 2023

    VERSES AI Announces AGI Breakthrough: Invokes Open AI’s ‘Assist’ Clause

    In an unprecedented move by VERSES AI, today's announcement of a breakthrough revealing a new path to AGI based on 'natural' rather than 'artificial' …
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    Denise Holt December 20, 2023

    Active Inference and Intentional Behaviour

    This paper explores how spontaneous learning in neuronal networks and cell cultures exemplifies emergent cognition and behavior. By employing the free…
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    Denise Holt December 16, 2023

    Supervised structure learning

    The paper explores supervised structure learning of discrete generative models by focusing on Bayesian model selection and data ingestion order. It em…
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    Denise Holt November 17, 2023

    Unlocking the Future of AI: Active Inference vs. LLMs

    Denise Holt's article explores the current landscape of AI, questioning whether society is approaching genuine intelligence or simply enhancing advanc…
    denise-h
    Denise Holt November 16, 2023

    Generating meaning: active inference and the scope and limits of passive AI

    The article explores the differences between generative models in living organisms and passive generative AI. It argues that while AI learns from data…
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    Denise Holt November 14, 2023

    VERSES AI Demos Genius™ AI Platform: Pioneering the Future of AI with Active Inference

    VERSES AI's "Genius™" platform marks a pivotal moment in AI evolution, akin to historic technological milestones like the first rocket launch. CEO G…
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    Denise Holt November 3, 2023

    Relative representations for cognitive graphs

    The paper discusses relative representations derived from latent spaces of neural networks, enabling comparison across various models. It explores the…
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    Denise Holt September 13, 2023

    Integrating cognitive map learning and active inference for planning in ambiguous environments

    The paper explores integrating cognitive map learning and active inference for navigation in ambiguous environments. It evaluates a clone-structured c…
    denise-h
    Denise Holt September 13, 2023
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    Integrating cognitive map learning and active inference for planning in ambiguous environments

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