237 Episoade

  1. SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)

    Publicat: 14.09.2020

  2. UK Algoshambles, Neuralink, GPT-3 and Intelligence

    Publicat: 07.09.2020

  3. Sayak Paul

    Publicat: 17.07.2020

  4. Robert Lange on NN Pruning and Collective Intelligence

    Publicat: 08.07.2020

  5. WelcomeAIOverlords (Zak Jost)

    Publicat: 30.06.2020

  6. Facebook Research - Unsupervised Translation of Programming Languages

    Publicat: 24.06.2020

  7. Francois Chollet - On the Measure of Intelligence

    Publicat: 19.06.2020

  8. OpenAI GPT-3: Language Models are Few-Shot Learners

    Publicat: 06.06.2020

  9. Jordan Edwards: ML Engineering and DevOps on AzureML

    Publicat: 03.06.2020

  10. One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)

    Publicat: 02.06.2020

  11. Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning

    Publicat: 25.05.2020

  12. ICLR 2020: Yoshua Bengio and the Nature of Consciousness

    Publicat: 22.05.2020

  13. ICLR 2020: Yann LeCun and Energy-Based Models

    Publicat: 19.05.2020

  14. The Lottery Ticket Hypothesis with Jonathan Frankle

    Publicat: 19.05.2020

  15. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

    Publicat: 19.05.2020

  16. CURL: Contrastive Unsupervised Representations for Reinforcement Learning

    Publicat: 02.05.2020

  17. Exploring Open-Ended Algorithms: POET

    Publicat: 24.04.2020

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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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