Machine Learning Street Talk (MLST)

Un pódcast de Machine Learning Street Talk (MLST)

Categorías:

190 Episodo

  1. Nora Belrose - AI Development, Safety, and Meaning

    Publicado: 17/11/2024
  2. Why Your GPUs are underutilised for AI - CentML CEO Explains

    Publicado: 13/11/2024
  3. Eliezer Yudkowsky and Stephen Wolfram on AI X-risk

    Publicado: 11/11/2024
  4. Pattern Recognition vs True Intelligence - Francois Chollet

    Publicado: 6/11/2024
  5. The Elegant Math Behind Machine Learning - Anil Ananthaswamy

    Publicado: 4/11/2024
  6. Michael Levin - Why Intelligence Isn't Limited To Brains.

    Publicado: 24/10/2024
  7. Speechmatics CTO - Next-Generation Speech Recognition

    Publicado: 23/10/2024
  8. Dr. Sanjeev Namjoshi - Active Inference

    Publicado: 22/10/2024
  9. Joscha Bach - Why Your Thoughts Aren't Yours.

    Publicado: 20/10/2024
  10. Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini

    Publicado: 19/10/2024
  11. It's Not About Scale, It's About Abstraction - Francois Chollet

    Publicado: 12/10/2024
  12. Bold AI Predictions From Cohere Co-founder

    Publicado: 10/10/2024
  13. Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel

    Publicado: 4/10/2024
  14. Ben Goertzel on "Superintelligence"

    Publicado: 1/10/2024
  15. Taming Silicon Valley - Prof. Gary Marcus

    Publicado: 24/9/2024
  16. Prof. Mark Solms - The Hidden Spring

    Publicado: 18/9/2024
  17. Patrick Lewis (Cohere) - Retrieval Augmented Generation

    Publicado: 16/9/2024
  18. Ashley Edwards - Genie Paper (DeepMind/Runway)

    Publicado: 13/9/2024
  19. Cohere's SVP Technology - Saurabh Baji

    Publicado: 12/9/2024
  20. David Hanson's Vision for Sentient Robots

    Publicado: 10/9/2024

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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/).

Visit the podcast's native language site