Machine Learning Street Talk (MLST)

Un pódcast de Machine Learning Street Talk (MLST)

Categorías:

208 Episodo

  1. Prof. Chris Bishop's NEW Deep Learning Textbook!

    Publicado: 10/4/2024
  2. Philip Ball - How Life Works

    Publicado: 7/4/2024
  3. Dr. Paul Lessard - Categorical/Structured Deep Learning

    Publicado: 1/4/2024
  4. Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter

    Publicado: 20/3/2024
  5. Prof. Nick Chater - The Language Game (Part 1)

    Publicado: 1/3/2024
  6. Kenneth Stanley created a new social network based on serendipity and divergence

    Publicado: 28/2/2024
  7. Dr. Brandon Rohrer - Robotics, Creativity and Intelligence

    Publicado: 13/2/2024
  8. Showdown Between e/acc Leader And Doomer - Connor Leahy + Beff Jezos

    Publicado: 3/2/2024
  9. Mahault Albarracin - Cognitive Science

    Publicado: 14/1/2024
  10. $450M AI Startup In 3 Years | Chai AI

    Publicado: 9/1/2024
  11. DOES AI HAVE AGENCY? With Professor. Karl Friston and Riddhi J. Pitliya

    Publicado: 7/1/2024
  12. Understanding Deep Learning - Prof. SIMON PRINCE [STAFF FAVOURITE]

    Publicado: 26/12/2023
  13. Prof. BERT DE VRIES - ON ACTIVE INFERENCE

    Publicado: 20/11/2023
  14. MULTI AGENT LEARNING - LANCELOT DA COSTA

    Publicado: 5/11/2023
  15. THE HARD PROBLEM OF OBSERVERS - WOLFRAM & FRISTON [SPECIAL EDITION]

    Publicado: 29/10/2023
  16. DR. JEFF BECK - THE BAYESIAN BRAIN

    Publicado: 16/10/2023
  17. Prof. Melanie Mitchell 2.0 - AI Benchmarks are Broken!

    Publicado: 10/9/2023
  18. Autopoitic Enactivism and the Free Energy Principle - Prof. Friston, Prof Buckley, Dr. Ramstead

    Publicado: 5/9/2023
  19. STEPHEN WOLFRAM 2.0 - Resolving the Mystery of the Second Law of Thermodynamics

    Publicado: 15/8/2023
  20. Prof. Jürgen Schmidhuber - FATHER OF AI ON ITS DANGERS

    Publicado: 14/8/2023

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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