Google DeepMind: The Podcast

Podcast autorstwa Hannah Fry

Kategorie:

33 Odcinki

  1. Is Human Data Enough? With David Silver

    Opublikowany: 10.04.2025
  2. Project Astra: Exploring a Universal AI Assistant with Greg Wayne

    Opublikowany: 20.12.2024
  3. Gemini 2.0 and the evolution of agentic AI with Oriol Vinyals

    Opublikowany: 12.12.2024
  4. The Balancing Act: Regulation & AI with Nicklas Lundblad

    Opublikowany: 5.12.2024
  5. Inside NotebookLM with Raiza Martin and Steven Johnson

    Opublikowany: 26.11.2024
  6. AI for Science with Sir Paul Nurse, Demis Hassabis, Jennifer Doudna, and John Jumper

    Opublikowany: 21.11.2024
  7. The Ethics of AI Assistants with Iason Gabriel

    Opublikowany: 11.11.2024
  8. AI in the Classroom with Irina Jurenka

    Opublikowany: 23.10.2024
  9. AI: Supercharging Scientific Exploration with Pushmeet Kohli

    Opublikowany: 9.10.2024
  10. Gaming, Goats & General Intelligence with Frederic Besse

    Opublikowany: 25.09.2024
  11. Decoding Google Gemini with Jeff Dean

    Opublikowany: 11.09.2024
  12. AI Safety...Ok Doomer: with Anca Dragan

    Opublikowany: 28.08.2024
  13. AI: Your New Creative Muse? with Douglas Eck

    Opublikowany: 14.08.2024
  14. Unreasonably Effective AI with Demis Hassabis

    Opublikowany: 14.08.2024
  15. The promise of AI with Demis Hassabis

    Opublikowany: 15.03.2022
  16. Fair for all

    Opublikowany: 1.03.2022
  17. Me, myself and AI

    Opublikowany: 22.02.2022
  18. AI for science

    Opublikowany: 16.02.2022
  19. The road to AGI

    Opublikowany: 15.02.2022
  20. Let's get physical

    Opublikowany: 8.02.2022

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What is generative AI? How do you create safe and capable models? Is AI overhyped? Join mathematician and broadcaster Professor Hannah Fry as she answers these questions and more in the highly-praised and award-winning podcast from Google DeepMind. In this series, Hannah goes behind the scenes of the world-leading research lab to uncover the extraordinary ways AI is transforming our world. No hype. No spin, just compelling discussions and grand scientific ambition.

Visit the podcast's native language site