Machine Learning Street Talk (MLST)

En podkast av Machine Learning Street Talk (MLST)

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174 Episoder

  1. New "50%" ARC result and current winners interviewed

    Publisert: 18.6.2024
  2. Cohere co-founder Nick Frosst on building LLM apps for business

    Publisert: 16.6.2024
  3. What’s the Magic Word? A Control Theory of LLM Prompting.

    Publisert: 5.6.2024
  4. CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina

    Publisert: 6.5.2024
  5. Dr. Thomas Parr - Active Inference Book

    Publisert: 1.5.2024
  6. Connor Leahy - e/acc, AGI and the future.

    Publisert: 21.4.2024
  7. Prof. Chris Bishop's NEW Deep Learning Textbook!

    Publisert: 10.4.2024
  8. Philip Ball - How Life Works

    Publisert: 7.4.2024
  9. Dr. Paul Lessard - Categorical/Structured Deep Learning

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

    Publisert: 20.3.2024
  11. Prof. Nick Chater - The Language Game (Part 1)

    Publisert: 1.3.2024
  12. Kenneth Stanley created a new social network based on serendipity and divergence

    Publisert: 28.2.2024
  13. Dr. Brandon Rohrer - Robotics, Creativity and Intelligence

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

    Publisert: 3.2.2024
  15. Mahault Albarracin - Cognitive Science

    Publisert: 14.1.2024
  16. $450M AI Startup In 3 Years | Chai AI

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

    Publisert: 7.1.2024
  18. Understanding Deep Learning - Prof. SIMON PRINCE [STAFF FAVOURITE]

    Publisert: 26.12.2023
  19. Prof. BERT DE VRIES - ON ACTIVE INFERENCE

    Publisert: 20.11.2023
  20. MULTI AGENT LEARNING - LANCELOT DA COSTA

    Publisert: 5.11.2023

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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