Web: Facebook open sources its AI hardware as it races Google

December 2015 by: From The Web

In Silicon Valley, the new currency is artificial intelligence.

Over the last few years, a technology called deep learninghas proven so adept at identifying images, recognizing spoken words, and translating from one language to another, the titans of Silicon Valley are eager to push the state of the art even further—and push it quickly. The two biggest players are, yes, Google and Facebook.

At Google, this tech not only helps the company recognize the commands you bark into your Android phone andinstantly translate foreign street signs when you turn your phone their way. It helps drive the Google search engine, the centerpiece of the company’s online empire. At Facebook, it helps identify faces in photos, choose content for your News Feed, and even deliver flowers ordered through M, the company’s experimental personal assistant. All the while, these two titans hope to refine deep learning so that it can carry on real conversations—and perhaps even exhibit something close to common sense.

Of course, in order to reach such lofty goals, these companies need some serious engineering talent. And the community of researchers who excel at deep learning is relatively small. As a result, Google and Facebook are part of an industry-wide battle for top engineers.


Continue Reading: Wired