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    BI 034 Tony Zador: How DNA and Evolution Can Inform AI

    BI 034 Tony Zador: How DNA and Evolution Can Inform AI

    FromBrain Inspired

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    BI 034 Tony Zador: How DNA and Evolution Can Inform AI

    FromBrain Inspired

    ratings:
    Length:
    79 minutes
    Released:
    May 9, 2019
    Format:
    Podcast episode

    Description

    Show notes:



    Tony’s lab site, where there are links to his auditory decision making work and connectome work we discuss. Here are a few talks online about that: Corticostriatal circuits underlying auditory decisions.
    Can we upload our mind to the cloud?. Follow Tony on Twitter: @TonyZador The paper we discuss: A Critique of Pure Learning: What Artificial Neural Networks can Learn from Animal Brains. Conferences we talk about: COSYNE conference. Neural Information and Coding workshops. Neural Information Processing conference.
    Released:
    May 9, 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.