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Facebook's New AI Can Paint, But Google's Knows How to Party

Facebook and Google are building enormous neural networks—artificial brains—that can instantly recognize faces, cars, buildings, and other objects in digital photos. But that’s not all these brains can do.
They can recognize the spoken word, translate from one language to another, target ads, or teach a robot to screw a cap onto a bottle. And if you turn these brains upside down, you can teach them not just to recognize images, but create images—in rather intriguing (and sometimes disturbing) ways.
As it revealed on Friday, Facebook is teaching its neural networks to automatically create small images of things like airplanes, automobiles, and animals, and about 40 percent of the time, these images can fool us humans into believing we’re looking at reality. “The model can tell the difference between an unnatural image—white noise you’d see on your TV or some sort of abstract art image—and an image that you would take on your camera,” says Facebook artificial intelligence researcher Rob Fergus. “It understands the structure of how images work” (see images above).
Meanwhile, the boffins at Google have taken things to the other extreme, using neural nets to turn real photos into something intriguingly unreal. They’re teaching machines to look for familiar patterns in a photo, enhance those patterns, and then repeat the process with the same image. “This creates a feedback loop: if a cloud looks a little bit like a bird, the network will make it look more like a bird,” Google says in a blog post explaining the project. “This in turn will make the network recognize the bird even more strongly on the next pass and so forth, until a highly detailed bird appears, seemingly out of nowhere.” The result is a kind of machine-generated abstract art (see below).
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About Naresh Sahu

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