Machine Learning Street Talk (MLST)

En podcast af Machine Learning Street Talk (MLST)

Kategorier:

186 Episoder

  1. #84 LAURA RUIS - Large language models are not zero-shot communicators [NEURIPS UNPLUGGED]

    Udgivet: 6.12.2022
  2. #83 Dr. ANDREW LAMPINEN (Deepmind) - Natural Language, Symbols and Grounding [NEURIPS2022 UNPLUGGED]

    Udgivet: 4.12.2022
  3. #82 - Dr. JOSCHA BACH - Digital Physics, DL and Consciousness [UNPLUGGED]

    Udgivet: 27.11.2022
  4. #81 JULIAN TOGELIUS, Prof. KEN STANLEY - AGI, Games, Diversity & Creativity [UNPLUGGED]

    Udgivet: 20.11.2022
  5. #80 AIDAN GOMEZ [CEO Cohere] - Language as Software

    Udgivet: 15.11.2022
  6. #79 Consciousness and the Chinese Room [Special Edition] (CHOLLET, BISHOP, CHALMERS, BACH)

    Udgivet: 8.11.2022
  7. MLST #78 - Prof. NOAM CHOMSKY (Special Edition)

    Udgivet: 8.7.2022
  8. #77 - Vitaliy Chiley (Cerebras)

    Udgivet: 16.6.2022
  9. #76 - LUKAS BIEWALD (Weights and Biases CEO)

    Udgivet: 9.6.2022
  10. #75 - Emergence [Special Edition] with Dr. DANIELE GRATTAROLA

    Udgivet: 29.4.2022
  11. #74 Dr. ANDREW LAMPINEN - Symbolic behaviour in AI [UNPLUGGED]

    Udgivet: 14.4.2022
  12. #73 - YASAMAN RAZEGHI & Prof. SAMEER SINGH - NLP benchmarks

    Udgivet: 7.4.2022
  13. #72 Prof. KEN STANLEY 2.0 - On Art and Subjectivity [UNPLUGGED]

    Udgivet: 29.3.2022
  14. #71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]

    Udgivet: 25.3.2022
  15. #70 - LETITIA PARCALABESCU - Symbolics, Linguistics [UNPLUGGED]

    Udgivet: 19.3.2022
  16. #69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data

    Udgivet: 12.3.2022
  17. #68 DR. WALID SABA 2.0 - Natural Language Understanding [UNPLUGGED]

    Udgivet: 7.3.2022
  18. #67 Prof. KARL FRISTON 2.0

    Udgivet: 2.3.2022
  19. #66 ALEXANDER MATTICK - [Unplugged / Community Edition]

    Udgivet: 28.2.2022
  20. #65 Prof. PEDRO DOMINGOS [Unplugged]

    Udgivet: 26.2.2022

6 / 10

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