Machine Learning Street Talk (MLST)

232 Avsnitt

1. Jonas Hübotter (ETH) - Test Time Inference

   Publicerades: 2024-12-01
2. How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)

   Publicerades: 2024-11-25
3. Nora Belrose - AI Development, Safety, and Meaning

   Publicerades: 2024-11-17
4. Why Your GPUs are underutilised for AI - CentML CEO Explains

   Publicerades: 2024-11-13
5. Eliezer Yudkowsky and Stephen Wolfram on AI X-risk

   Publicerades: 2024-11-11
6. Pattern Recognition vs True Intelligence - Francois Chollet

   Publicerades: 2024-11-06
7. The Elegant Math Behind Machine Learning - Anil Ananthaswamy

   Publicerades: 2024-11-04
8. Michael Levin - Why Intelligence Isn't Limited To Brains.

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

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

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

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

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

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

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

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

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

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

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

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

    Publicerades: 2024-09-13