MIT Technology Review Narrated

Ein Podcast von MIT Technology Review - Mittwochs

Mittwochs

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120 Folgen

  1. Gorillas, militias, and Bitcoin: Why Congo’s most famous national park is betting big on crypto

    Vom: 6.11.2024
  2. How gamification took over the world

    Vom: 30.10.2024
  3. Technology that lets us “speak” to our dead relatives has arrived. Are we ready?

    Vom: 23.10.2024
  4. Inside the quest to engineer climate-saving “super trees”

    Vom: 16.10.2024
  5. What is AI?

    Vom: 9.10.2024
  6. The cost of building the perfect wave

    Vom: 2.10.2024
  7. How generative AI could reinvent what it means to play

    Vom: 25.9.2024
  8. The entrepreneur dreaming of a factory of unlimited organs

    Vom: 18.9.2024
  9. Design thinking was supposed to fix the world. Where did it go wrong?

    Vom: 11.9.2024
  10. How a tiny Pacific Island became the global capital of cybercrime

    Vom: 4.9.2024
  11. An AI startup made a hyperrealistic deepfake of me that’s so good it’s scary

    Vom: 28.8.2024
  12. It’s time to retire the term “user”

    Vom: 21.8.2024
  13. The search for extraterrestrial life is targeting Jupiter’s icy moon Europa

    Vom: 14.8.2024
  14. Large language models can do jaw-dropping things. But nobody knows exactly why.

    Vom: 7.8.2024
  15. How ASML took over the chipmaking chessboard

    Vom: 31.7.2024
  16. Minds of machines: The great AI consciousness conundrum

    Vom: 24.7.2024
  17. In Machines We Trust: That's a wrap!

    Vom: 14.8.2023
  18. In Machines We Trust: When AI hears a problem

    Vom: 17.5.2023
  19. In Machines We Trust: Harvesting the future with AI and satellites (Encore)

    Vom: 10.5.2023
  20. In Machines We Trust: A conversation with Geoffrey Hinton (Live)

    Vom: 6.5.2023

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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