246 Epizód

  1. The Elegant Math Behind Machine Learning - Anil Ananthaswamy

    Közzétéve: 2024. 11. 04.

  2. Michael Levin - Why Intelligence Isn't Limited To Brains.

    Közzétéve: 2024. 10. 24.

  3. Speechmatics CTO - Next-Generation Speech Recognition

    Közzétéve: 2024. 10. 23.

  4. Dr. Sanjeev Namjoshi - Active Inference

    Közzétéve: 2024. 10. 22.

  5. Joscha Bach - Why Your Thoughts Aren't Yours.

    Közzétéve: 2024. 10. 20.

  6. Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini

    Közzétéve: 2024. 10. 19.

  7. It's Not About Scale, It's About Abstraction - Francois Chollet

    Közzétéve: 2024. 10. 12.

  8. Bold AI Predictions From Cohere Co-founder

    Közzétéve: 2024. 10. 10.

  9. Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel

    Közzétéve: 2024. 10. 04.

  10. Ben Goertzel on "Superintelligence"

    Közzétéve: 2024. 10. 01.

  11. Taming Silicon Valley - Prof. Gary Marcus

    Közzétéve: 2024. 09. 24.

  12. Prof. Mark Solms - The Hidden Spring

    Közzétéve: 2024. 09. 18.

  13. Patrick Lewis (Cohere) - Retrieval Augmented Generation

    Közzétéve: 2024. 09. 16.

  14. Ashley Edwards - Genie Paper (DeepMind/Runway)

    Közzétéve: 2024. 09. 13.

  15. Cohere's SVP Technology - Saurabh Baji

    Közzétéve: 2024. 09. 12.

  16. David Hanson's Vision for Sentient Robots

    Közzétéve: 2024. 09. 10.

  17. The Fabric of Knowledge - David Spivak

    Közzétéve: 2024. 09. 05.

  18. Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs

    Közzétéve: 2024. 08. 28.

  19. "AI should NOT be regulated at all!" - Prof. Pedro Domingos

    Közzétéve: 2024. 08. 25.

  20. Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)

    Közzétéve: 2024. 08. 22.

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Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).

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