Machine Learning Street Talk (MLST)

En podcast af Machine Learning Street Talk (MLST)

Kategorier:

186 Episoder

  1. #045 Microsoft's Platform for Reinforcement Learning (Bonsai)

    Udgivet: 28.2.2021
  2. #044 - Data-efficient Image Transformers (Hugo Touvron)

    Udgivet: 25.2.2021
  3. #043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.

    Udgivet: 19.2.2021
  4. #042 - Pedro Domingos - Ethics and Cancel Culture

    Udgivet: 11.2.2021
  5. #041 - Biologically Plausible Neural Networks - Dr. Simon Stringer

    Udgivet: 3.2.2021
  6. #040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)

    Udgivet: 31.1.2021
  7. #039 - Lena Voita - NLP

    Udgivet: 23.1.2021
  8. #038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned

    Udgivet: 20.1.2021
  9. #037 - Tour De Bayesian with Connor Tann

    Udgivet: 11.1.2021
  10. #036 - Max Welling: Quantum, Manifolds & Symmetries in ML

    Udgivet: 3.1.2021
  11. #035 Christmas Community Edition!

    Udgivet: 27.12.2020
  12. #034 Eray Özkural- AGI, Simulations & Safety

    Udgivet: 20.12.2020
  13. #033 Prof. Karl Friston - The Free Energy Principle

    Udgivet: 13.12.2020
  14. #032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!

    Udgivet: 6.12.2020
  15. #031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)

    Udgivet: 28.11.2020
  16. #030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen)

    Udgivet: 20.11.2020
  17. #029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence

    Udgivet: 8.11.2020
  18. NLP is not NLU and GPT-3 - Walid Saba

    Udgivet: 4.11.2020
  19. AI Alignment & AGI Fire Alarm - Connor Leahy

    Udgivet: 1.11.2020
  20. Kaggle, ML Community / Engineering (Sanyam Bhutani)

    Udgivet: 28.10.2020

8 / 10

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