Seven Must-Read Stories (Week Ending August 2, 2014)
Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.
- Adaptive Material Could Cut the Cost of Solar in Half
A new material, combined with a cheap tracking system, could unleash the promise of concentrated solar power. - Chinese GMO Research Outpaces Approvals
The fact that China hasn’t approved any commercial GMO planting since 2009 reflects public fears. - LCD Hacking Trick Could Make Virtual Reality More Real
Stacking components from two LCD panels more than doubles the pixel density of a video display. - Three Questions for J. Craig Venter
Gene research and Silicon Valley-style computing are starting to merge. - Software That Can See Will Change Privacy Forever
Advances in machine vision will let employers, governments, and advertisers spot you in photos and know exactly what you’re doing in them. - Startup Wants You to Capture the World in 3-D
Mantis Vision is developing 3-D scanning technology that could end up in lots of tablets. - What’s a Moon Shot Worth These Days?
Google X’s project to study human health is no Apollo 11. <
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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.
The problem with plug-in hybrids? Their drivers.
Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.
Google DeepMind’s new generative model makes Super Mario–like games from scratch
Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.
How scientists traced a mysterious covid case back to six toilets
When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.
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