242 Episodes

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

    Published: 10/31/2021

  2. #60 Geometric Deep Learning Blueprint (Special Edition)

    Published: 9/19/2021

  3. #59 - Jeff Hawkins (Thousand Brains Theory)

    Published: 9/3/2021

  4. #58 Dr. Ben Goertzel - Artificial General Intelligence

    Published: 8/11/2021

  5. #57 - Prof. Melanie Mitchell - Why AI is harder than we think

    Published: 7/25/2021

  6. #56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)

    Published: 7/8/2021

  7. #55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

    Published: 6/21/2021

  8. #54 Gary Marcus and Luis Lamb - Neurosymbolic models

    Published: 6/4/2021

  9. #53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

    Published: 5/19/2021

  10. #52 - Unadversarial Examples (Hadi Salman, MIT)

    Published: 5/1/2021

  11. #51 Francois Chollet - Intelligence and Generalisation

    Published: 4/16/2021

  12. #50 Christian Szegedy - Formal Reasoning, Program Synthesis

    Published: 4/4/2021

  13. #49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)

    Published: 3/23/2021

  14. #48 Machine Learning Security - Andy Smith

    Published: 3/16/2021

  15. 047 Interpretable Machine Learning - Christoph Molnar

    Published: 3/14/2021

  16. #046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

    Published: 3/6/2021

  17. #045 Microsoft's Platform for Reinforcement Learning (Bonsai)

    Published: 2/28/2021

  18. #044 - Data-efficient Image Transformers (Hugo Touvron)

    Published: 2/25/2021

  19. #043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.

    Published: 2/19/2021

  20. #042 - Pedro Domingos - Ethics and Cancel Culture

    Published: 2/11/2021

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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/).