Talking Machines

Podcast autorstwa Tote Bag Productions

Kategorie:

110 Odcinki

  1. Gods and Robots

    Opublikowany: 9.09.2021
  2. Responsibility, Risk, and Publishing

    Opublikowany: 19.08.2021
  3. ICML 2021: Test of Time(ly) Award

    Opublikowany: 24.07.2021
  4. Learning with Less, Invisible Labor and Combating Anti-Blackness

    Opublikowany: 9.07.2021
  5. Let's Reflect

    Opublikowany: 13.06.2020
  6. Predicting Floods and Really Doing Good

    Opublikowany: 29.05.2020
  7. ICLR: accessible, inclusive, virtual

    Opublikowany: 14.05.2020
  8. Humans in the Loop and Outside of the Classroom

    Opublikowany: 1.05.2020
  9. The Evolution of ML and Furry Little Animals

    Opublikowany: 16.04.2020
  10. Talking Machines Live and Understanding Modeling Viruses

    Opublikowany: 3.04.2020
  11. Prioritizing Problems and 100 episodes

    Opublikowany: 20.03.2020
  12. The Great AI Fallacy

    Opublikowany: 5.03.2020
  13. If a Machine Could Predict Your Death, Should it?

    Opublikowany: 20.02.2020
  14. Predicting the Decade and Distributing Conferences

    Opublikowany: 6.02.2020
  15. Debating Project Debater and Hello NeurIPS

    Opublikowany: 21.11.2019
  16. De-Enchanting AI with the Law

    Opublikowany: 7.11.2019
  17. How to Ask an Actionable Question

    Opublikowany: 25.10.2019
  18. Children are the Future and Ada Lovelace Day

    Opublikowany: 10.10.2019
  19. News from Neil and Updates from DALI

    Opublikowany: 26.09.2019
  20. A Cooperative Path to Artificial Intelligence

    Opublikowany: 13.09.2019

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Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Neil Lawrence, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions. Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what to do with the answers. Hosted on Acast. See acast.com/privacy for more information.

Visit the podcast's native language site