Seven Must-Read Stories (Week ending October 17, 2015)
Another chance to catch the most interesting and important articles from the previous week on MIT Technology Review.
- A Tale of Do-It-Yourself Gene Therapy
An American biotech CEO claims she is the first to undergo gene therapy to reverse aging. Judge for yourself. - Microsoft Researchers Are Working on Multi-Person Virtual Reality
Researchers in Jaron Lanier’s lab at Microsoft are exploring ways for people to share the experience of mixed reality. - Lyft’s Search for a New Mode of Transport
How Uber’s archenemy plans to make the world a better place by building a kind of public transit system from private cars. - How Your Smartphone Can Detect Bipolar Disorder
The sensors in smartphones can accurately detect the changes in mood that are indicative of bipolar disorder, according to a new study. That could lead to faster treatment and better outcomes for sufferers. - Advanced Nuclear Industry to Regulators: Give Us a Chance
Entrepreneurs argue that reactor technology innovation is limited by regulatory barriers. - An Algorithm Helps Robots Fall Safely
Researchers at Georgia Tech have developed an algorithm to help humanoid robots hit the ground without breaking themselves. - 1366 Bets on Silicon Wafer Innovation with New Solar Plant
New method for making silicon wafers enables 1366 Technologies to survive and expand.
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Large language models can do jaw-dropping things. But nobody knows exactly why.
And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.
OpenAI teases an amazing new generative video model called Sora
The firm is sharing Sora with a small group of safety testers but the rest of us will have to wait to learn more.
Google’s Gemini is now in everything. Here’s how you can try it out.
Gmail, Docs, and more will now come with Gemini baked in. But Europeans will have to wait before they can download the app.
This baby with a head camera helped teach an AI how kids learn language
A neural network trained on the experiences of a single young child managed to learn one of the core components of language: how to match words to the objects they represent.
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