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    BI 028 Sam Gershman: Free Energy Principle & Human Machines

    BI 028 Sam Gershman: Free Energy Principle & Human Machines

    FromBrain Inspired

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    BI 028 Sam Gershman: Free Energy Principle & Human Machines

    FromBrain Inspired

    ratings:
    Length:
    74 minutes
    Released:
    Feb 19, 2019
    Format:
    Podcast episode

    Description

    Show notes:





    Sam's Computational Cognitive Neuroscience Lab.Follow Sam on Twitter: @gershbrain.The papers we discuss: What does the free energy principle tell us about the brain?Building machines that learn and think like people. A video summarizing that work. The book Sam recommended: What Is Thought by Eric Baum.
    Released:
    Feb 19, 2019
    Format:
    Podcast episode

    Titles in the series (100)

    Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.