Sustainable energy tech has come a long way in the past decade, but we've still got a long road ahead if we hope to slow climate change. Here's what's next
Thanks to a technique known as beamforming, it's possible to selectively deliver personalized audio directly to a single listener -- and only that listener.
For most of human history, space exploration has been carried out with visual technologies like telescopes. Now, astronomers are turning to microphones
In an effort to address the state's summer blackout problem, California energy officials are investing in big, building-size batteries that can power cities
Artificial intelligence has progressed in leaps and bounds over the past decade. What's in store for the next one? Here are four things to keep an eye on.
NFTs have an absolutely massive carbon footprint, and while there are many solutions in the works, very few of them are expected to roll out anytime soon.
With the help of A.I. voice analysis, it's now possible to discern the emotions that a person feels while they speak. The implications of that are huge.
Statistically, one person dies from drunk driving every 52 minutes in the U.S. -- but it doesn't have to be that way. We have the technology to stop it.
In an amazing and also somewhat unsettling new A.I. project, researchers were able to read brain waves to generate faces that people find especially attractive
Image-recognition A.I. can be duped fairly easily with adversarial images designed specifically to confuse them, but that might not be the case for much longer.
Digit, the latest and most advanced bipedal robot from Agility Robotics, has made some huge strides (both literally and figuratively) in the past few years
Artificial intelligence can do a lot of amazing things these days, but it's still not smart enough to play a simple game of hide and seek. Not yet, that is
Solar panels can't produce energy when the sun isn't shining. But what if they could? As it turns out, scientists all over the globe are working on the problem.
Researchers are training generative adversarial networks so that they can progressively and automatically learn how to create artificial genetic sequences,