Machine Learning Street Talk (MLST)

Un pódcast de Machine Learning Street Talk (MLST)

Categorías:

174 Episodo

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

    Publicado: 18/6/2024
  2. Cohere co-founder Nick Frosst on building LLM apps for business

    Publicado: 16/6/2024
  3. What’s the Magic Word? A Control Theory of LLM Prompting.

    Publicado: 5/6/2024
  4. CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina

    Publicado: 6/5/2024
  5. Dr. Thomas Parr - Active Inference Book

    Publicado: 1/5/2024
  6. Connor Leahy - e/acc, AGI and the future.

    Publicado: 21/4/2024
  7. Prof. Chris Bishop's NEW Deep Learning Textbook!

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

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

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

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

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

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

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

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

    Publicado: 14/1/2024
  16. $450M AI Startup In 3 Years | Chai AI

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

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

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

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

    Publicado: 5/11/2023

2 / 9

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