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    BI 010 Adam Marblestone: Brain Cost Functions

    BI 010 Adam Marblestone: Brain Cost Functions

    FromBrain Inspired

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    BI 010 Adam Marblestone: Brain Cost Functions

    FromBrain Inspired

    ratings:
    Length:
    65 minutes
    Released:
    Sep 20, 2018
    Format:
    Podcast episode

    Description

     
    Mentioned in the show


    Adam’s Website.


    Follow him on Twitter.


    He made Technology Review’s 35 Innovators Under 35.


    The paper we discuss:


    Toward an Integration of DeepLearning and Neuroscience




    Some of the peripheral things we discussed:


    Cortical microcircuits: here’s an example paper.


    Autoencoders are unsupervised learning methods to reconstruct their input.


    A nice introduction to Generative Adversarial Networks.


    Marvin Minsky’s classic Society of Mind.




    Some of his talks online:


    A Billion-Year-Old Information Technology.


    What sets the exponent of neuroscience progress?
    Released:
    Sep 20, 2018
    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.