Machine Learning Street Talk (MLST)

Un pódcast de Machine Learning Street Talk (MLST)

Categorías:

174 Episodo

  1. #033 Prof. Karl Friston - The Free Energy Principle

    Publicado: 13/12/2020
  2. #032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!

    Publicado: 6/12/2020
  3. #031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)

    Publicado: 28/11/2020
  4. #030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen)

    Publicado: 20/11/2020
  5. #029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence

    Publicado: 8/11/2020
  6. NLP is not NLU and GPT-3 - Walid Saba

    Publicado: 4/11/2020
  7. AI Alignment & AGI Fire Alarm - Connor Leahy

    Publicado: 1/11/2020
  8. Kaggle, ML Community / Engineering (Sanyam Bhutani)

    Publicado: 28/10/2020
  9. Sara Hooker - The Hardware Lottery, Sparsity and Fairness

    Publicado: 20/10/2020
  10. The Social Dilemma Part 3 - Dr. Rebecca Roache

    Publicado: 11/10/2020
  11. The Social Dilemma - Part 2

    Publicado: 6/10/2020
  12. The Social Dilemma - Part 1

    Publicado: 3/10/2020
  13. Capsule Networks and Education Targets

    Publicado: 29/9/2020
  14. Programming Languages, Software Engineering and Machine Learning

    Publicado: 25/9/2020
  15. Computation, Bayesian Model Selection, Interactive Articles

    Publicado: 22/9/2020
  16. Kernels!

    Publicado: 18/9/2020
  17. Explainability, Reasoning, Priors and GPT-3

    Publicado: 16/9/2020
  18. SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)

    Publicado: 14/9/2020
  19. UK Algoshambles, Neuralink, GPT-3 and Intelligence

    Publicado: 7/9/2020
  20. Sayak Paul

    Publicado: 17/7/2020

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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