Seven Must-Read Stories (Week Ending November 15, 2013)
Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.
- A New Solar Material Shows Its Potential
A material described in Nature could help lead the way to high-efficiency, inexpensive solar cells. - Stores Sniff Out Smartphones to Follow Shoppers
Indoor location technology brings Internet-style tracking to physical spaces. - Lurking Inside the iPad Is the Future of High-Def Displays
The appearance of indium gallium zinc oxide transistors in iPads shows that the display industry is poised to begin churning out a new breed of high-performance screens. - Graphene Supercapacitors Ready for Electric Vehicle Energy Storage, Say Korean Engineers
Conventional batteries take so long to charge that they cannot efficiently store braking energy. Graphene supercapacitors store almost as much but charge in just 16 seconds. - Jawbone’s New Wristband Adds You to the Internet of Things
Jawbone’s new activity-tracking wristband can be used to start your coffeemaker when you get up. - Genomics Could Blow Up the Clinical Trial
Genomic technology could accelerate patient trials of new cancer drugs that are targeted to a tumor’s individual molecular profile. - Three Questions for Computing Pioneer Carver Mead
Carver Mead christened Moore’s Law and helped make it come true. Now he says engineers should experiment with quantum mechanics to advance computing. <
Keep Reading
Most Popular
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.
Stay connected
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.