Machine Learning Street Talk (MLST)

En podcast av Machine Learning Street Talk (MLST)

Kategorier:

205 Avsnitt

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

    Publicerades: 2024-10-24
  2. Speechmatics CTO - Next-Generation Speech Recognition

    Publicerades: 2024-10-23
  3. Dr. Sanjeev Namjoshi - Active Inference

    Publicerades: 2024-10-22
  4. Joscha Bach - Why Your Thoughts Aren't Yours.

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

    Publicerades: 2024-10-19
  6. It's Not About Scale, It's About Abstraction - Francois Chollet

    Publicerades: 2024-10-12
  7. Bold AI Predictions From Cohere Co-founder

    Publicerades: 2024-10-10
  8. Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel

    Publicerades: 2024-10-04
  9. Ben Goertzel on "Superintelligence"

    Publicerades: 2024-10-01
  10. Taming Silicon Valley - Prof. Gary Marcus

    Publicerades: 2024-09-24
  11. Prof. Mark Solms - The Hidden Spring

    Publicerades: 2024-09-18
  12. Patrick Lewis (Cohere) - Retrieval Augmented Generation

    Publicerades: 2024-09-16
  13. Ashley Edwards - Genie Paper (DeepMind/Runway)

    Publicerades: 2024-09-13
  14. Cohere's SVP Technology - Saurabh Baji

    Publicerades: 2024-09-12
  15. David Hanson's Vision for Sentient Robots

    Publicerades: 2024-09-10
  16. The Fabric of Knowledge - David Spivak

    Publicerades: 2024-09-05
  17. Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs

    Publicerades: 2024-08-28
  18. "AI should NOT be regulated at all!" - Prof. Pedro Domingos

    Publicerades: 2024-08-25
  19. Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)

    Publicerades: 2024-08-22
  20. Joscha Bach - AGI24 Keynote (Cyberanimism)

    Publicerades: 2024-08-21

2 / 11

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