Machine Learning Street Talk (MLST)

A podcast by Machine Learning Street Talk (MLST)

Categories:

190 Episodes

  1. #68 DR. WALID SABA 2.0 - Natural Language Understanding [UNPLUGGED]

    Published: 3/7/2022
  2. #67 Prof. KARL FRISTON 2.0

    Published: 3/2/2022
  3. #66 ALEXANDER MATTICK - [Unplugged / Community Edition]

    Published: 2/28/2022
  4. #65 Prof. PEDRO DOMINGOS [Unplugged]

    Published: 2/26/2022
  5. #64 Prof. Gary Marcus 3.0

    Published: 2/24/2022
  6. #063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality

    Published: 2/22/2022
  7. #062 - Dr. Guy Emerson - Linguistics, Distributional Semantics

    Published: 2/3/2022
  8. 061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)

    Published: 1/4/2022
  9. Siraj Raval - Stories about YouTube, Plagiarism, and the Dangers of Fame (Interview)

    Published: 10/31/2021
  10. #60 Geometric Deep Learning Blueprint (Special Edition)

    Published: 9/19/2021
  11. #59 - Jeff Hawkins (Thousand Brains Theory)

    Published: 9/3/2021
  12. #58 Dr. Ben Goertzel - Artificial General Intelligence

    Published: 8/11/2021
  13. #57 - Prof. Melanie Mitchell - Why AI is harder than we think

    Published: 7/25/2021
  14. #56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)

    Published: 7/8/2021
  15. #55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

    Published: 6/21/2021
  16. #54 Gary Marcus and Luis Lamb - Neurosymbolic models

    Published: 6/4/2021
  17. #53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

    Published: 5/19/2021
  18. #52 - Unadversarial Examples (Hadi Salman, MIT)

    Published: 5/1/2021
  19. #51 Francois Chollet - Intelligence and Generalisation

    Published: 4/16/2021
  20. #50 Christian Szegedy - Formal Reasoning, Program Synthesis

    Published: 4/4/2021

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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/).