238 Episodes

  1. #57 - Prof. Melanie Mitchell - Why AI is harder than we think

    Published: 7/25/2021

  2. #56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)

    Published: 7/8/2021

  3. #55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

    Published: 6/21/2021

  4. #54 Gary Marcus and Luis Lamb - Neurosymbolic models

    Published: 6/4/2021

  5. #53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

    Published: 5/19/2021

  6. #52 - Unadversarial Examples (Hadi Salman, MIT)

    Published: 5/1/2021

  7. #51 Francois Chollet - Intelligence and Generalisation

    Published: 4/16/2021

  8. #50 Christian Szegedy - Formal Reasoning, Program Synthesis

    Published: 4/4/2021

  9. #49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)

    Published: 3/23/2021

  10. #48 Machine Learning Security - Andy Smith

    Published: 3/16/2021

  11. 047 Interpretable Machine Learning - Christoph Molnar

    Published: 3/14/2021

  12. #046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

    Published: 3/6/2021

  13. #045 Microsoft's Platform for Reinforcement Learning (Bonsai)

    Published: 2/28/2021

  14. #044 - Data-efficient Image Transformers (Hugo Touvron)

    Published: 2/25/2021

  15. #043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.

    Published: 2/19/2021

  16. #042 - Pedro Domingos - Ethics and Cancel Culture

    Published: 2/11/2021

  17. #041 - Biologically Plausible Neural Networks - Dr. Simon Stringer

    Published: 2/3/2021

  18. #040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)

    Published: 1/31/2021

  19. #039 - Lena Voita - NLP

    Published: 1/23/2021

  20. #038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned

    Published: 1/20/2021

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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/).