Machine Learning Street Talk (MLST)

En podcast af Machine Learning Street Talk (MLST)

Kategorier:

186 Episoder

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

    Udgivet: 20.10.2020
  2. The Social Dilemma Part 3 - Dr. Rebecca Roache

    Udgivet: 11.10.2020
  3. The Social Dilemma - Part 2

    Udgivet: 6.10.2020
  4. The Social Dilemma - Part 1

    Udgivet: 3.10.2020
  5. Capsule Networks and Education Targets

    Udgivet: 29.9.2020
  6. Programming Languages, Software Engineering and Machine Learning

    Udgivet: 25.9.2020
  7. Computation, Bayesian Model Selection, Interactive Articles

    Udgivet: 22.9.2020
  8. Kernels!

    Udgivet: 18.9.2020
  9. Explainability, Reasoning, Priors and GPT-3

    Udgivet: 16.9.2020
  10. SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)

    Udgivet: 14.9.2020
  11. UK Algoshambles, Neuralink, GPT-3 and Intelligence

    Udgivet: 7.9.2020
  12. Sayak Paul

    Udgivet: 17.7.2020
  13. Robert Lange on NN Pruning and Collective Intelligence

    Udgivet: 8.7.2020
  14. WelcomeAIOverlords (Zak Jost)

    Udgivet: 30.6.2020
  15. Facebook Research - Unsupervised Translation of Programming Languages

    Udgivet: 24.6.2020
  16. Francois Chollet - On the Measure of Intelligence

    Udgivet: 19.6.2020
  17. OpenAI GPT-3: Language Models are Few-Shot Learners

    Udgivet: 6.6.2020
  18. Jordan Edwards: ML Engineering and DevOps on AzureML

    Udgivet: 3.6.2020
  19. One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)

    Udgivet: 2.6.2020
  20. Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning

    Udgivet: 25.5.2020

9 / 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