Machine Learning Street Talk (MLST)

En podkast av Machine Learning Street Talk (MLST)

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209 Episoder

  1. #67 Prof. KARL FRISTON 2.0

    Publisert: 2.3.2022
  2. #66 ALEXANDER MATTICK - [Unplugged / Community Edition]

    Publisert: 28.2.2022
  3. #65 Prof. PEDRO DOMINGOS [Unplugged]

    Publisert: 26.2.2022
  4. #64 Prof. Gary Marcus 3.0

    Publisert: 24.2.2022
  5. #063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality

    Publisert: 22.2.2022
  6. #062 - Dr. Guy Emerson - Linguistics, Distributional Semantics

    Publisert: 3.2.2022
  7. 061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)

    Publisert: 4.1.2022
  8. Siraj Raval - Stories about YouTube, Plagiarism, and the Dangers of Fame (Interview)

    Publisert: 31.10.2021
  9. #60 Geometric Deep Learning Blueprint (Special Edition)

    Publisert: 19.9.2021
  10. #59 - Jeff Hawkins (Thousand Brains Theory)

    Publisert: 3.9.2021
  11. #58 Dr. Ben Goertzel - Artificial General Intelligence

    Publisert: 11.8.2021
  12. #57 - Prof. Melanie Mitchell - Why AI is harder than we think

    Publisert: 25.7.2021
  13. #56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)

    Publisert: 8.7.2021
  14. #55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

    Publisert: 21.6.2021
  15. #54 Gary Marcus and Luis Lamb - Neurosymbolic models

    Publisert: 4.6.2021
  16. #53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

    Publisert: 19.5.2021
  17. #52 - Unadversarial Examples (Hadi Salman, MIT)

    Publisert: 1.5.2021
  18. #51 Francois Chollet - Intelligence and Generalisation

    Publisert: 16.4.2021
  19. #50 Christian Szegedy - Formal Reasoning, Program Synthesis

    Publisert: 4.4.2021
  20. #49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)

    Publisert: 23.3.2021

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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/).

Visit the podcast's native language site