246 Episodes

  1. Sara Hooker - The Hardware Lottery, Sparsity and Fairness

    Published: 20/10/2020

  2. The Social Dilemma Part 3 - Dr. Rebecca Roache

    Published: 11/10/2020

  3. The Social Dilemma - Part 2

    Published: 6/10/2020

  4. The Social Dilemma - Part 1

    Published: 3/10/2020

  5. Capsule Networks and Education Targets

    Published: 29/09/2020

  6. Programming Languages, Software Engineering and Machine Learning

    Published: 25/09/2020

  7. Computation, Bayesian Model Selection, Interactive Articles

    Published: 22/09/2020

  8. Kernels!

    Published: 18/09/2020

  9. Explainability, Reasoning, Priors and GPT-3

    Published: 16/09/2020

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

    Published: 14/09/2020

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

    Published: 7/09/2020

  12. Sayak Paul

    Published: 17/07/2020

  13. Robert Lange on NN Pruning and Collective Intelligence

    Published: 8/07/2020

  14. WelcomeAIOverlords (Zak Jost)

    Published: 30/06/2020

  15. Facebook Research - Unsupervised Translation of Programming Languages

    Published: 24/06/2020

  16. Francois Chollet - On the Measure of Intelligence

    Published: 19/06/2020

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

    Published: 6/06/2020

  18. Jordan Edwards: ML Engineering and DevOps on AzureML

    Published: 3/06/2020

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

    Published: 2/06/2020

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

    Published: 25/05/2020

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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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