From Forbes.com, Aug 31, 2017

In the past few years, a family of artificial intelligence techniques called deep learning has taken the tech industry by storm. It’s being used in everything from helping organize your pictures in Google Photos, to giving smarts to digital assistants like Amazon’s Alexa, Apple’s Siri and Microsoft’s Cortana, to helping cars drive themselves.

But the deep learning models require huge amounts of computing power and the latest algorithms are pushing on the limits of what current chips can handle. That’s why semiconductor companies, from established giants like Nvidia and Intel to a slew of startups, are racing to develop new, AI-specific chips that could fundamentally change how computers are built.

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