Machine Learning Street Talk (MLST)

En podkast av Machine Learning Street Talk (MLST)

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209 Episoder

  1. #48 Machine Learning Security - Andy Smith

    Publisert: 16.3.2021
  2. 047 Interpretable Machine Learning - Christoph Molnar

    Publisert: 14.3.2021
  3. #046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

    Publisert: 6.3.2021
  4. #045 Microsoft's Platform for Reinforcement Learning (Bonsai)

    Publisert: 28.2.2021
  5. #044 - Data-efficient Image Transformers (Hugo Touvron)

    Publisert: 25.2.2021
  6. #043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.

    Publisert: 19.2.2021
  7. #042 - Pedro Domingos - Ethics and Cancel Culture

    Publisert: 11.2.2021
  8. #041 - Biologically Plausible Neural Networks - Dr. Simon Stringer

    Publisert: 3.2.2021
  9. #040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)

    Publisert: 31.1.2021
  10. #039 - Lena Voita - NLP

    Publisert: 23.1.2021
  11. #038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned

    Publisert: 20.1.2021
  12. #037 - Tour De Bayesian with Connor Tann

    Publisert: 11.1.2021
  13. #036 - Max Welling: Quantum, Manifolds & Symmetries in ML

    Publisert: 3.1.2021
  14. #035 Christmas Community Edition!

    Publisert: 27.12.2020
  15. #034 Eray Özkural- AGI, Simulations & Safety

    Publisert: 20.12.2020
  16. #033 Prof. Karl Friston - The Free Energy Principle

    Publisert: 13.12.2020
  17. #032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!

    Publisert: 6.12.2020
  18. #031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)

    Publisert: 28.11.2020
  19. #030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen)

    Publisert: 20.11.2020
  20. #029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence

    Publisert: 8.11.2020

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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/).

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