MIT Technology Review Narrated

En podcast af MIT Technology Review - Onsdage

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101 Episoder

  1. In Machines We Trust: A conversation with Geoffrey Hinton (Live)

    Udgivet: 6.5.2023
  2. In Machines We Trust: The Chip War (Live)

    Udgivet: 3.5.2023
  3. In Machines We Trust: I Was There When... AI reached a crossroads

    Udgivet: 26.4.2023
  4. In Machines We Trust: When AI watches the streets

    Udgivet: 19.4.2023
  5. In Machines We Trust: Concerning AI ethics

    Udgivet: 12.4.2023
  6. In Machines We Trust: Generating creativity

    Udgivet: 5.4.2023
  7. In Machines We Trust: AI births digital humans (Encore)

    Udgivet: 29.3.2023
  8. In Machines We Trust: I Was There When... Robots Learned to Run

    Udgivet: 22.3.2023
  9. In Machines We Trust: The AI of the beholder

    Udgivet: 15.3.2023
  10. In Machines We Trust: In the cockpit with AI

    Udgivet: 8.3.2023
  11. In Machines We Trust: Who watches AI watching students?

    Udgivet: 1.3.2023
  12. In Machines We Trust: AI enters the dogfight

    Udgivet: 22.2.2023
  13. In Machines We Trust: Aging with robots

    Udgivet: 15.2.2023
  14. In Machines We Trust: The AI in the newsroom

    Udgivet: 8.2.2023
  15. In Machines We Trust: Automating Agriculture (Live)

    Udgivet: 1.2.2023
  16. In Machines We Trust: House training a robot

    Udgivet: 25.1.2023
  17. In Machines We Trust: How to test a satellite (Audio Postcard)

    Udgivet: 18.1.2023
  18. In Machines We Trust: Exploring AI's evolution (Live)

    Udgivet: 11.1.2023
  19. In Machines We Trust: How games teach AI to learn for itself (Update)

    Udgivet: 4.1.2023
  20. In Machines We Trust: Harvesting the future with AI and satellites

    Udgivet: 28.12.2022

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Welcome to MIT Technology Review Narrated, the home for the very best of our journalism in audio. Each week we will share one of our most ambitious stories, from print and online, narrated for us by real voice actors. Expect big themes, thought-provoking topics, and sharp analysis, all backed by our trusted reporting.

Visit the podcast's native language site