243 Episodo

  1. 061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)

    Publicado: 4/1/2022

  2. Siraj Raval - Stories about YouTube, Plagiarism, and the Dangers of Fame (Interview)

    Publicado: 31/10/2021

  3. #60 Geometric Deep Learning Blueprint (Special Edition)

    Publicado: 19/9/2021

  4. #59 - Jeff Hawkins (Thousand Brains Theory)

    Publicado: 3/9/2021

  5. #58 Dr. Ben Goertzel - Artificial General Intelligence

    Publicado: 11/8/2021

  6. #57 - Prof. Melanie Mitchell - Why AI is harder than we think

    Publicado: 25/7/2021

  7. #56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)

    Publicado: 8/7/2021

  8. #55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

    Publicado: 21/6/2021

  9. #54 Gary Marcus and Luis Lamb - Neurosymbolic models

    Publicado: 4/6/2021

  10. #53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

    Publicado: 19/5/2021

  11. #52 - Unadversarial Examples (Hadi Salman, MIT)

    Publicado: 1/5/2021

  12. #51 Francois Chollet - Intelligence and Generalisation

    Publicado: 16/4/2021

  13. #50 Christian Szegedy - Formal Reasoning, Program Synthesis

    Publicado: 4/4/2021

  14. #49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)

    Publicado: 23/3/2021

  15. #48 Machine Learning Security - Andy Smith

    Publicado: 16/3/2021

  16. 047 Interpretable Machine Learning - Christoph Molnar

    Publicado: 14/3/2021

  17. #046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

    Publicado: 6/3/2021

  18. #045 Microsoft's Platform for Reinforcement Learning (Bonsai)

    Publicado: 28/2/2021

  19. #044 - Data-efficient Image Transformers (Hugo Touvron)

    Publicado: 25/2/2021

  20. #043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.

    Publicado: 19/2/2021

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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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