By Rick Merritt, EETimes
July 10, 2019
Can two industry-sized pain points add up to one historic opportunity? That's the hope a Google engineer sparked in a talk at Semicon West here.
Google and its hyperscale rivals crave a roadmap of performance leaps to stay at the bleeding edge of deep learning, a demanding and rapidly expanding new style of computing. The chip industry needs something to replace Moore’s law which is delivering decreasing returns while generating rising costs.
So, Google engineer Cliff Young invited chip vendors to beat a path to a new kind of AI computer, perhaps built from some new kind of transistor.
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