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MIT Technology Review Narrated

MIT Technology Review Narrated

MIT Technology Review

Technology
News
Science

Fréquence : 1 épisode/14j. Total Éps: 136

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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.
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  • 🇺🇸 États-Unis - technology

    28/07/2025
    #95
  • 🇨🇦 Canada - technology

    27/07/2025
    #99
  • 🇺🇸 États-Unis - technology

    27/07/2025
    #93
  • 🇫🇷 France - technology

    27/07/2025
    #56
  • 🇫🇷 France - technology

    26/07/2025
    #40
  • 🇨🇦 Canada - technology

    25/07/2025
    #90
  • 🇫🇷 France - technology

    25/07/2025
    #55
  • 🇩🇪 Allemagne - technology

    24/07/2025
    #95
  • 🇫🇷 France - technology

    24/07/2025
    #69
  • 🇫🇷 France - technology

    23/07/2025
    #68
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An AI startup made a hyperrealistic deepfake of me that’s so good it’s scary

mercredi 28 août 2024Durée 28:45

An AI startup created a hyperrealistic deepfake of MIT Technology Review’s senior AI reporter that was so believable, even she thought it was really her at first. This technology is impressive, to be sure. But it raises big questions about a world where we increasingly can’t tell what’s real and what's fake. This story was written by senior AI reporter Melissa Heikkilä and narrated by Noa - newsoveraudio.com

It’s time to retire the term “user”

mercredi 21 août 2024Durée 14:17

Though “user” seems to describe a relationship that is deeply transactional, many of the technological relationships in which a person would be considered a user are actually quite personal. That being the case, is the term “user” still relevant?  This story was written by Taylor Majewski and narrated by Noa.

In Machines We Trust: The Chip War (Live)

Saison 4 · Épisode 39

mercredi 3 mai 2023Durée 21:43

This episode, we get an insider's look at the ongoing chip war from the person who wrote the book on it, Chris Miller, professor at Tufts University and the author of Chip War. Join us for a live conversation from the MIT Media Lab at Tech Review’s Future Compute conference. Credits: This episode was recorded and produced by Jennifer Strong with help from Emma Cillekens and Anthony Green. We’re edited by Mat Honan and mixed by Garret Lang, with original music from Garret Lang and Jacob Gorski. Artwork from Stephanie Arnett.

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

Saison 4 · Épisode 38

mercredi 26 avril 2023Durée 13:45

I Was There When is an oral history project that’s part of the In Machines We Trust podcast. It features stories of how breakthroughs and watershed moments in artificial intelligence and computing happened, as told by the people who witnessed them. In this episode we meet Cognitive Scientist Gary Marcus. CREDITS: This project was produced by Jennifer Strong, Emma Cillekens, and Anthony Green. It was edited by Mat Honan and mixed by Garret Lang with original music by Jacob Gorski. The art is from Eric Mongeon and Stephanie Arnett. It was recorded at the TED Conference in Vancouver, Canada. LINKS: https://blog.ted.com/the-astounding-new-era-of-ai-notes-on-session-2-of-ted2023/ https://www.technologyreview.com/topic/artificial-intelligence/ https://podcasts.apple.com/us/podcast/humans-vs-machines-with-gary-marcus/id1532110146

In Machines We Trust: When AI watches the streets

Saison 4 · Épisode 37

mercredi 19 avril 2023Durée 27:11

The term ‘smart city’ paints a picture of a tech-enabled oasis—powered by sensors of all kinds. But we’re starting to recognize what all these tools might mean for privacy. In this episode, we meet a researcher studying how this is being applied in Iran and visit one of the nation’s top smart cities, to learn how its efforts there have evolved over time. We Meet: University of Oxford and Article19 Human Rights Researcher Mahsa Alimardani City of Las Vegas Chief Innovation Officer Michael Sherwood City of Hope Director of Campus Support Operations Mark Reed Sounds: How will artificial intelligence change the cities we live in? - BBC Ideas via YouTube  https://www.youtube.com/watch?v=UXxyCBimRyM  ‘Smart’ cities promise economic and environmental benefits to the developing world - CBC News via YouTube https://www.youtube.com/watch?v=u08A7yiTmu4  Singapore is building a city in China - CNBC via YouTube  https://www.youtube.com/watch?v=iP11XeIV1ZA  Global Smart Cities - The China Current via YouTube  https://www.youtube.com/watch?v=-qmiqHWD6Uc  Footage appears to show Iranian riot police confronting students at university in Tehran - The Guardian via YouTube  https://www.youtube.com/watch?v=BgQshPJohmg  China: facial recognition and state control - The Economist via YouTube  https://www.youtube.com/watch?v=lH2gMNrUuEY  Facial recognition: Concerns over China's widespread surveillance https://www.youtube.com/watch?v=CT6KEy_QXvM Credits: This episode was reported and produced by Jennifer Strong and Anthony Green with help from Emma Cillekens. It was edited by Mat Honan, and mixed by Garret Lang, with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

In Machines We Trust: Concerning AI ethics

Saison 4 · Épisode 36

mercredi 12 avril 2023Durée 21:21

The best definitions of AI are vague, largely lack consensus and represent a huge challenge for lawmakers and legal scholars looking to regulate it. But back to back breakthroughs and rapid adoption of generative AI tools are making it feel a lot more real to everybody else. We examine how it’s possible that alone might be enough to push conversations about ethics further into focus. We Meet: MIT Technology Review Senior AI Reporter Melissa Heikkilä Mozilla President Mark Surman IBM Chief Privacy Officer Christina Montgomery United Nations AI Advisor Neil Sahota Sounds: Advances in artificial intelligence raise new ethics concerns - PBS NewsHour via YouTube https://youtu.be/l5nTlHeqYOQ He loves artificial intelligence. Hear why he is issuing a warning about ChatGPT - CNN via YouTube https://youtu.be/THJysHMi81c   Credits: This episode was reported and produced by Jennifer Strong and Anthony Green with help from Emma Cillekens and Melissa Heikkilä. It was edited by Mat Honan, and mixed by Garret Lang, with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

In Machines We Trust: Generating creativity

Saison 4 · Épisode 35

mercredi 5 avril 2023Durée 18:46

This episode we meet people building next generation tools for creativity who are thinking about how these AI models should be trained and deployed in order to be both useful and fair to artists. We hear from: Artist Holly Herndon Adobe CTO Digital Media Ely Greenfield Soundful CEO Diaa El All Links: https://www.ted.com/talks/holly_herndon_what_if_you_could_sing_in_your_favorite_musician_s_voice https://www.technologyreview.com/2023/02/03/1067786/ai-models-spit-out-photos-of-real-people-and-copyrighted-images/ https://www.technologyreview.com/2022/12/16/1065247/artists-can-now-opt-out-of-the-next-version-of-stable-diffusion/ Credits: This episode was produced by Anthony Green with help from Emma Cillekens. It was edited by Jennifer Strong and Mat Honan, mixed by Garret Lang, with original music from Jacob Gorski.

In Machines We Trust: AI births digital humans (Encore)

Saison 4 · Épisode 34

mercredi 29 mars 2023Durée 19:43

We're so excited this episode has been selected as a New York Festivals finalist! Please enjoy this encore edition and we'll see you back next week! Digital twins of humans capture the physical look and expressions of real humans. Increasingly these replicas are showing up in the entertainment industry and beyond and it gives rise to some interesting opportunities as well as thorny questions.  We speak to: Greg Cross, CEO and co-founder of Soul Machines Credits: This episode was produced by Anthony Green with help from Emma Cillekens. It was edited by Jennifer Strong and Mat Honan, mixed by Garret Lang, with original music from Jacob Gorski.

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

Saison 4 · Épisode 33

mercredi 22 mars 2023Durée 16:15

I Was There When is an oral history project that’s part of the In Machines We Trust podcast. It features stories of how breakthroughs and watershed moments in artificial intelligence and computing happened, as told by the people who witnessed them. In this episode we meet Marc Raibert, the founder and chairman of Boston Dynamics. CREDITS: This project was produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Mat Honan and mixed by Garret Lang, with original music by Jacob Gorski. Artwork by Eric Mongeon. VIDEOS: Spot  https://www.youtube.com/watch?v=7atZfX85nd4&t=17s https://www.youtube.com/watch?v=6VUQHrWhoqg Atlas https://www.youtube.com/watch?v=-e1_QhJ1EhQ&t=5s Big Dog https://www.youtube.com/watch?v=xqMVg5ixhd0 One Legged Robot (Hopping robot) https://www.youtube.com/watch?v=Bd5iEke6UlE&t=16s

In Machines We Trust: The AI of the beholder

Saison 4 · Épisode 32

mercredi 15 mars 2023Durée 22:24

Computers are ranking the way people look—and the results are influencing the things we do, the posts we see, and the way we think. Ideas about what constitutes “beauty” are complex, subjective, and by no means limited to physical appearances. Elusive though it is, everyone wants more of it. That means big business and increasingly, people harnessing algorithms to create their ideal selves in the digital and, sometimes, physical worlds. In this episode, we explore the popularity of beauty filters, and sit down with someone who’s convinced his software will show you just how to nip and tuck your way to a better life. Reporting links: https://www.technologyreview.com/2023/03/13/1069649/hyper-realistic-beauty-filters-bold-glamour/ https://www.technologyreview.com/2022/08/19/1057133/fight-for-instagram-face/ We meet: Shafee Hassan, Qoves Studio founder  Lauren Rhue, Assistant Professor of Information Systems at the Robert H. Smith School of Business Credits: This episode was reported by Tate Ryan-Mosley, and produced by Jennifer Strong, Emma Cillekens, Karen Hao and Anthony Green. We’re edited by Michael Reilly and Bobbie Johnson.  

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