Machine Learning Street Talk (MLST)

En podcast af Machine Learning Street Talk (MLST)

Kategorier:

186 Episoder

  1. Dr. Paul Lessard - Categorical/Structured Deep Learning

    Udgivet: 1.4.2024
  2. Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter

    Udgivet: 20.3.2024
  3. Prof. Nick Chater - The Language Game (Part 1)

    Udgivet: 1.3.2024
  4. Kenneth Stanley created a new social network based on serendipity and divergence

    Udgivet: 28.2.2024
  5. Dr. Brandon Rohrer - Robotics, Creativity and Intelligence

    Udgivet: 13.2.2024
  6. Showdown Between e/acc Leader And Doomer - Connor Leahy + Beff Jezos

    Udgivet: 3.2.2024
  7. Mahault Albarracin - Cognitive Science

    Udgivet: 14.1.2024
  8. $450M AI Startup In 3 Years | Chai AI

    Udgivet: 9.1.2024
  9. DOES AI HAVE AGENCY? With Professor. Karl Friston and Riddhi J. Pitliya

    Udgivet: 7.1.2024
  10. Understanding Deep Learning - Prof. SIMON PRINCE [STAFF FAVOURITE]

    Udgivet: 26.12.2023
  11. Prof. BERT DE VRIES - ON ACTIVE INFERENCE

    Udgivet: 20.11.2023
  12. MULTI AGENT LEARNING - LANCELOT DA COSTA

    Udgivet: 5.11.2023
  13. THE HARD PROBLEM OF OBSERVERS - WOLFRAM & FRISTON [SPECIAL EDITION]

    Udgivet: 29.10.2023
  14. DR. JEFF BECK - THE BAYESIAN BRAIN

    Udgivet: 16.10.2023
  15. Prof. Melanie Mitchell 2.0 - AI Benchmarks are Broken!

    Udgivet: 10.9.2023
  16. Autopoitic Enactivism and the Free Energy Principle - Prof. Friston, Prof Buckley, Dr. Ramstead

    Udgivet: 5.9.2023
  17. STEPHEN WOLFRAM 2.0 - Resolving the Mystery of the Second Law of Thermodynamics

    Udgivet: 15.8.2023
  18. Prof. Jürgen Schmidhuber - FATHER OF AI ON ITS DANGERS

    Udgivet: 14.8.2023
  19. Can We Develop Truly Beneficial AI? George Hotz and Connor Leahy

    Udgivet: 4.8.2023
  20. Dr. MAXWELL RAMSTEAD - The Physics of Survival

    Udgivet: 16.7.2023

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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