243 Episodo

  1. The Social Dilemma - Part 1

    Publicado: 3/10/2020
  2. Capsule Networks and Education Targets

    Publicado: 29/9/2020
  3. Programming Languages, Software Engineering and Machine Learning

    Publicado: 25/9/2020
  4. Computation, Bayesian Model Selection, Interactive Articles

    Publicado: 22/9/2020
  5. Kernels!

    Publicado: 18/9/2020
  6. Explainability, Reasoning, Priors and GPT-3

    Publicado: 16/9/2020
  7. SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)

    Publicado: 14/9/2020
  8. UK Algoshambles, Neuralink, GPT-3 and Intelligence

    Publicado: 7/9/2020
  9. Sayak Paul

    Publicado: 17/7/2020
  10. Robert Lange on NN Pruning and Collective Intelligence

    Publicado: 8/7/2020
  11. WelcomeAIOverlords (Zak Jost)

    Publicado: 30/6/2020
  12. Facebook Research - Unsupervised Translation of Programming Languages

    Publicado: 24/6/2020
  13. Francois Chollet - On the Measure of Intelligence

    Publicado: 19/6/2020
  14. OpenAI GPT-3: Language Models are Few-Shot Learners

    Publicado: 6/6/2020
  15. Jordan Edwards: ML Engineering and DevOps on AzureML

    Publicado: 3/6/2020
  16. One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)

    Publicado: 2/6/2020
  17. Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning

    Publicado: 25/5/2020
  18. ICLR 2020: Yoshua Bengio and the Nature of Consciousness

    Publicado: 22/5/2020
  19. ICLR 2020: Yann LeCun and Energy-Based Models

    Publicado: 19/5/2020
  20. The Lottery Ticket Hypothesis with Jonathan Frankle

    Publicado: 19/5/2020

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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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