167 Epizód

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

    Közzétéve: 2021. 07. 28.

  2. BI NMA 03: Stochastic Processes Panel

    Közzétéve: 2021. 07. 22.

  3. BI NMA 02: Dynamical Systems Panel

    Közzétéve: 2021. 07. 15.

  4. BI NMA 01: Machine Learning Panel

    Közzétéve: 2021. 07. 12.

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

    Közzétéve: 2021. 07. 06.

  6. BI 109 Mark Bickhard: Interactivism

    Közzétéve: 2021. 06. 26.

  7. BI 108 Grace Lindsay: Models of the Mind

    Közzétéve: 2021. 06. 16.

  8. BI 107 Steve Fleming: Know Thyself

    Közzétéve: 2021. 06. 06.

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

    Közzétéve: 2021. 05. 27.

  10. BI 105 Sanjeev Arora: Off the Convex Path

    Közzétéve: 2021. 05. 17.

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

    Közzétéve: 2021. 05. 07.

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

    Közzétéve: 2021. 04. 26.

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

    Közzétéve: 2021. 04. 16.

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

    Közzétéve: 2021. 04. 06.

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

    Közzétéve: 2021. 03. 28.

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

    Közzétéve: 2021. 03. 21.

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

    Közzétéve: 2021. 03. 17.

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

    Közzétéve: 2021. 03. 12.

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

    Közzétéve: 2021. 03. 09.

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

    Közzétéve: 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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