MIT Technology Review Narrated

Clearview AI has built one of the most comprehensive databases of people’s faces in the world. Your picture is probably in there (our host Jennifer Strong’s was). In the second of a four-part series on facial recognition, we meet the CEO of the controversial company who tells us our future is filled with face recognition—regardless of whether it's regulated or not.

We meet:

Hoan Ton-That, Clearview AI

Alexa Daniels-Shpall, Police Executive Research Forum

Credits:

This episode was reported and produced by Jennifer Strong, with Tate Ryan-Mosely and Emma Cillekens, with special thanks to Karen Hao and Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield. Our technical director is Jacob Gorski.

Open-world video games are inhabited by vast crowds of computer-controlled characters. These animated people—called NPCs, for “nonplayer characters”—populate the bars, city streets, or space ports of games. They make virtual worlds feel lived in and full. Often—but not always—you can talk to them.

After a while, however, the repetitive chitchat (or threats) of a passing stranger forces you to bump up against the truth: This is just a game.

It may not always be like that. Just as it’s upending other industries, generative AI is opening the door to entirely new kinds of in-game interactions that are open-ended, creative, and unexpected. Future AI-powered NPCs that don’t rely on a script could make games—and other worlds—deeply immersive.

This story was written by executive editor Niall Firth and narrated by Noa - newsoveraudio.com

Artificial intelligence is the hottest technology of our time. But what is it? It sounds like a stupid question, but it’s one that’s never been more urgent.

MIT Technology Review takes a deep dive into the competing answers from titans of industry and helps us understand how we got here—and why you should care, no matter who you are.

This story was written by senior AI editor Will Douglas Heaven and narrated by Noa.

Face mapping and other tracking systems are changing the sports experience in the stands and on the court. In part-three of this latest series on facial recognition, Jennifer Strong and the team at MIT Technology Review jump on the court to unpack just how much things are changing. This episode was originally published December 8, 2020.

We meet:

Donnie Scott, senior vice president of public security, IDEMIA

Michael D'Auria, vice president of business development, Second Spectrum

Jason Gay, sports columnist, The Wall Street Journal

Rachel Goodger, director of business development, Fancam

Rich Wang, director of analytics and fan engagement, Minnesota Vikings

Credits:

This episode was reported and produced by Jennifer Strong, Anthony Green, Tate Ryan-Mosley, Emma Cillekens and Karen Hao. We’re edited by Michael Reilly and Gideon Lichfield.

Robots that can do many of the things humans do in the home—folding laundry, cooking meals, cleaning—have been a dream of robotics research since the inception of the field in the 1950s.

While engineers have made great progress in getting robots to work in tightly controlled environments like labs and factories, the home has proved difficult to design for. Out in the real, messy world, furniture and floor plans differ wildly; children and pets can jump in a robot’s way; and clothes that need folding come in different shapes, colors, and sizes. Managing such unpredictable settings and varied conditions has been beyond the capabilities of even the most advanced robot prototypes.

But now, the field is at an inflection point. A new generation of researchers believes that generative AI could give robots the ability to learn new skills and adapt to new environments faster than ever before. This new approach, just maybe, can finally bring robots out of the factory and into the mainstream.

This story was written by senior AI reporter Melissa Heikkilä and narrated by Noa - newsoveraudio.com