167 Avsnitt

  1. BI 111 Kevin Mitchell and Erik Hoel: Agency, Emergence, Consciousness

    Publicerades: 2021-07-28

  2. BI NMA 03: Stochastic Processes Panel

    Publicerades: 2021-07-22

  3. BI NMA 02: Dynamical Systems Panel

    Publicerades: 2021-07-15

  4. BI NMA 01: Machine Learning Panel

    Publicerades: 2021-07-12

  5. BI 110 Catherine Stinson and Jessica Thompson: Neuro-AI Explanation

    Publicerades: 2021-07-06

  6. BI 109 Mark Bickhard: Interactivism

    Publicerades: 2021-06-26

  7. BI 108 Grace Lindsay: Models of the Mind

    Publicerades: 2021-06-16

  8. BI 107 Steve Fleming: Know Thyself

    Publicerades: 2021-06-06

  9. BI 106 Jacqueline Gottlieb and Robert Wilson: Deep Curiosity

    Publicerades: 2021-05-27

  10. BI 105 Sanjeev Arora: Off the Convex Path

    Publicerades: 2021-05-17

  11. BI 104 John Kounios and David Rosen: Creativity, Expertise, Insight

    Publicerades: 2021-05-07

  12. BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading

    Publicerades: 2021-04-26

  13. BI 102 Mark Humphries: What Is It Like To Be A Spike?

    Publicerades: 2021-04-16

  14. BI 101 Steve Potter: Motivating Brains In and Out of Dishes

    Publicerades: 2021-04-06

  15. BI 100.6 Special: Do We Have the Right Vocabulary and Concepts?

    Publicerades: 2021-03-28

  16. BI 100.4 Special: What Ideas Are Holding Us Back?

    Publicerades: 2021-03-21

  17. BI 100.3 Special: Can We Scale Up to AGI with Current Tech?

    Publicerades: 2021-03-17

  18. BI 100.2 Special: What Are the Biggest Challenges and Disagreements?

    Publicerades: 2021-03-12

  19. BI 100.1 Special: What Has Improved Your Career or Well-being?

    Publicerades: 2021-03-09

  20. BI 099 Hakwan Lau and Steve Fleming: Neuro-AI Consciousness

    Publicerades: 2021-02-28

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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.

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