Machine Learning Street Talk (MLST)

A podcast by Machine Learning Street Talk (MLST)

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217 Episodes

  1. #75 - Emergence [Special Edition] with Dr. DANIELE GRATTAROLA

    Published: 29/04/2022
  2. #74 Dr. ANDREW LAMPINEN - Symbolic behaviour in AI [UNPLUGGED]

    Published: 14/04/2022
  3. #73 - YASAMAN RAZEGHI & Prof. SAMEER SINGH - NLP benchmarks

    Published: 7/04/2022
  4. #72 Prof. KEN STANLEY 2.0 - On Art and Subjectivity [UNPLUGGED]

    Published: 29/03/2022
  5. #71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]

    Published: 25/03/2022
  6. #70 - LETITIA PARCALABESCU - Symbolics, Linguistics [UNPLUGGED]

    Published: 19/03/2022
  7. #69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data

    Published: 12/03/2022
  8. #68 DR. WALID SABA 2.0 - Natural Language Understanding [UNPLUGGED]

    Published: 7/03/2022
  9. #67 Prof. KARL FRISTON 2.0

    Published: 2/03/2022
  10. #66 ALEXANDER MATTICK - [Unplugged / Community Edition]

    Published: 28/02/2022
  11. #65 Prof. PEDRO DOMINGOS [Unplugged]

    Published: 26/02/2022
  12. #64 Prof. Gary Marcus 3.0

    Published: 24/02/2022
  13. #063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality

    Published: 22/02/2022
  14. #062 - Dr. Guy Emerson - Linguistics, Distributional Semantics

    Published: 3/02/2022
  15. 061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)

    Published: 4/01/2022
  16. Siraj Raval - Stories about YouTube, Plagiarism, and the Dangers of Fame (Interview)

    Published: 31/10/2021
  17. #60 Geometric Deep Learning Blueprint (Special Edition)

    Published: 19/09/2021
  18. #59 - Jeff Hawkins (Thousand Brains Theory)

    Published: 3/09/2021
  19. #58 Dr. Ben Goertzel - Artificial General Intelligence

    Published: 11/08/2021
  20. #57 - Prof. Melanie Mitchell - Why AI is harder than we think

    Published: 25/07/2021

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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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