240 Episodio

  1. #59 - Jeff Hawkins (Thousand Brains Theory)

    Pubblicato: 03/09/2021

  2. #58 Dr. Ben Goertzel - Artificial General Intelligence

    Pubblicato: 11/08/2021

  3. #57 - Prof. Melanie Mitchell - Why AI is harder than we think

    Pubblicato: 25/07/2021

  4. #56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)

    Pubblicato: 08/07/2021

  5. #55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

    Pubblicato: 21/06/2021

  6. #54 Gary Marcus and Luis Lamb - Neurosymbolic models

    Pubblicato: 04/06/2021

  7. #53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

    Pubblicato: 19/05/2021

  8. #52 - Unadversarial Examples (Hadi Salman, MIT)

    Pubblicato: 01/05/2021

  9. #51 Francois Chollet - Intelligence and Generalisation

    Pubblicato: 16/04/2021

  10. #50 Christian Szegedy - Formal Reasoning, Program Synthesis

    Pubblicato: 04/04/2021

  11. #49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)

    Pubblicato: 23/03/2021

  12. #48 Machine Learning Security - Andy Smith

    Pubblicato: 16/03/2021

  13. 047 Interpretable Machine Learning - Christoph Molnar

    Pubblicato: 14/03/2021

  14. #046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

    Pubblicato: 06/03/2021

  15. #045 Microsoft's Platform for Reinforcement Learning (Bonsai)

    Pubblicato: 28/02/2021

  16. #044 - Data-efficient Image Transformers (Hugo Touvron)

    Pubblicato: 25/02/2021

  17. #043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.

    Pubblicato: 19/02/2021

  18. #042 - Pedro Domingos - Ethics and Cancel Culture

    Pubblicato: 11/02/2021

  19. #041 - Biologically Plausible Neural Networks - Dr. Simon Stringer

    Pubblicato: 03/02/2021

  20. #040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)

    Pubblicato: 31/01/2021

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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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