Fei-Fei Li is a big deal in the world of AI. As the director of the Artificial Intelligence and Vision labs at Stanford University, she oversaw the creation of ImageNet, a vast database of images designed to accelerate the development of AI that can "see." And, well, it worked, helping to drive the creation of deep learning systems that can recognize objects, animals, people, and even entire scenes in photos--technology that has become commonplace on the world's biggest photo-sharing sites. Now, Fei-Fei will help run a brand new AI group inside Google, a move that reflects just how aggressively the world's biggest tech companies are remaking themselves around this breed of artificial intelligence. Intel Looks to a New Chip to Power the Coming Age of AI Giant Corporations Are Hoarding the World's AI Talent OpenAI Joins Microsoft on the Cloud's Next Big Front: Chips Facebook Manages to Squeeze an AI Into Its Mobile App Giant Corporations Are Hoarding the World's AI Talent Giant Corporations Are Hoarding the World's AI Talent Alongside a former Stanford researcher--Jia Li, who more recently ran research for the social networking service Snapchat--the China-born Fei-Fei will lead a team inside Google's cloud computing operation, building online services that any coder or company can use to build their own AI. This new Cloud Machine Learning Group is the latest example of AI not only re-shaping the technology that Google uses, but also changing how the company organizes and operates its business.

Hussein Mehanna is showing off a new incarnation of the Facebook smartphone app. It can transform a photo of your backyard barbecue into a Picasso. The app includes a particularly extravagant photo filter. You select a work of art--something akin to, say, a 1907 Picasso--and it creates a Cubist incarnation of your backyard barbecue. It's fun, and it works even with live video. Turn the camera on yourself, and you too can be a Picasso.

At the same, the team build a new piece of software designed specifically for executing neural networks with the limited resources available on mobile phones. This AI framework is called Caffe2Go, and according to Facebook, it can execute neural nets in less than 1/20th of a second. Naturally, execution times depend on what models are being executing. But the larger point is that Facebook intends to offer the framework on both iOS and Android devices, intent on building all sorts of AI models that can operate without a tether to the data center. "With anything we can build on the server, we now have a vehicle to ship it on mobile devices--and soon," Schroepfer explains.

Hussein Mehana is showing off a new incarnation of the Facebook smartphone app. It can transform a photo of your backyard barbecue into a Picasso. The app includes a particularly extravagant photo filter. You select a work of art--something akin to, say, a 1907 Picasso--and it creates a Cubist incarnation of your backyard barbecue. It's fun, and it works even with live video. Turn the camera on yourself, and you too can be a Picasso.