Fake news sucks, and as those eerily accurate videos of a lip-synced Barack Obama demonstrated last year, it’s soon going to get a hell of a lot worse. As a newly revealed video-manipulation system shows, super-realistic fake videos are improving faster than some of us thought possible.
Researchers are teaching machines to get stuff done using video simulations, a database of chores, and a virtual home reminiscent of your favorite time-wasting video game. The end goal? Teaching robots the same way you teach yourself how to install a toilet: instructional videos.
Imagine the worst case scenario. Dubious filmmakers use artificially intelligent computers to feed raw audio into a simulated version of Barack Obama. The audio is actually Obama’s voice, and the face really is his face. But the lip movements? Totally fake. The filmmakers publish the video on the internet, and it’s…
Quadrotors need outside help to navigate and perform their remarkable stunts, whether it be a human behind the controls or an array of complex sensors placed around a room. But not this one. Developed by researchers from the University of Pennsylvania, this drone is practically autonomous—which means it’s an actual…
A team of researchers from Cambridge University is borrowing some of the techniques used in autonomous vehicles to teach your phone to navigate, even when it doesn’t have access to positioning information like a GPS signal.
In the world of computer graphics, anything seems possible these days. It is possible, for instance, to make Barack Obama’s face deliver a George W. Bush speech. Or you could make Hillary Clinton do it. Or James Bond, if you want!
Scientists developed pretty good 3D-imaging technology a while ago. They’ve also developed cheap 3D-imaging technology. Good and cheap has always been tough, but researchers at MIT have made a breakthrough using old fashioned polarization. The quality isn’t just good either–it’s great.
This fall, a city in the Netherlands will become the first to allow fully autonomous shuttles regularly on its public roads–in the form of a small bus carting people between two towns.
Google’s engineers can do some pretty incredible things with the consumer technology it has developed—from “dreaming” neural networks based on computer vision to an algorithm that can create video from Street View images.
There are plenty of ways that experts identify forged artworks—from paint analysis to isotopes left over from nuclear bombs—but each is flawed in its own way. And now, a pair of Serbian computer scientists say they’ve figured out a simpler way.
When you look for shapes in the clouds, you’ll often find things you see every day: Dogs, people, cars. It turns out that artificial “brains” do the same thing. Google calls this phenomenon “Inceptionism,” and it’s a shocking look into how advanced artificial neural networks really are.
AdBlock's been around the internet for ages, but it only extends to the edges of your browser window. What if a device existed that could block logos and brand names from the world around you?
There's a new image algorithm called SparkleVision in town, and yes, it involves glitter. A glitter-coated surface, you see, is really just a plane of many, many tiny mirrors. And a shattered glitter-reflection can indeed be reconstructed into the face of Obama.
Even computers can be fooled by optical illusions. While computer vision is rapidly advancing, this set of bizzare images can fool even the best algorithms into thinking that they're real objects.
Computers at Google now have a machine-learning system that can analyze images like the one above and generate captions for them. The phrase used to caption this image? “A person riding a motorcycle on a dirt road.” It might not seem like much, but it’s actually one hell of an accomplishment.
Spotting rare genetic disease is, by definition, a little tricky. But now a team of scientists from the University of Oxford has developed software that can spot such conditions by analyzing family photographs.
Humans are all about pattern recognition: we want—and maybe need?—to believe that there’s order and meaning behind everything we see and do in life. The future is divined in teacups, superstitions are put on random objects, and—of course—we see ourselves in everything around us. Like the sky.
Computer vision, the science of teaching silicon to interpert images and film, is both incredibly fascinating and extremely complex. This video, Robot Readable World, lets you understand how robots see their surroundings.