Machine Learning Street Talk (MLST)

Un pódcast de Machine Learning Street Talk (MLST)

Categorías:

Tecnología

174 Episodo

  1. #72 Prof. KEN STANLEY 2.0 - On Art and Subjectivity [UNPLUGGED]

    Publicado: 29/3/2022

  2. #71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]

    Publicado: 25/3/2022

  3. #70 - LETITIA PARCALABESCU - Symbolics, Linguistics [UNPLUGGED]

    Publicado: 19/3/2022

  4. #69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data

    Publicado: 12/3/2022

  5. #68 DR. WALID SABA 2.0 - Natural Language Understanding [UNPLUGGED]

    Publicado: 7/3/2022

  6. #67 Prof. KARL FRISTON 2.0

    Publicado: 2/3/2022

  7. #66 ALEXANDER MATTICK - [Unplugged / Community Edition]

    Publicado: 28/2/2022

  8. #65 Prof. PEDRO DOMINGOS [Unplugged]

    Publicado: 26/2/2022

  9. #64 Prof. Gary Marcus 3.0

    Publicado: 24/2/2022

  10. #063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality

    Publicado: 22/2/2022

  11. #062 - Dr. Guy Emerson - Linguistics, Distributional Semantics

    Publicado: 3/2/2022

  12. 061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)

    Publicado: 4/1/2022

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

    Publicado: 31/10/2021

  14. #60 Geometric Deep Learning Blueprint (Special Edition)

    Publicado: 19/9/2021

  15. #59 - Jeff Hawkins (Thousand Brains Theory)

    Publicado: 3/9/2021

  16. #58 Dr. Ben Goertzel - Artificial General Intelligence

    Publicado: 11/8/2021

  17. #57 - Prof. Melanie Mitchell - Why AI is harder than we think

    Publicado: 25/7/2021

  18. #56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)

    Publicado: 8/7/2021

  19. #55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

    Publicado: 21/6/2021

  20. #54 Gary Marcus and Luis Lamb - Neurosymbolic models

    Publicado: 4/6/2021

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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