MIT’s new chip could bring neural nets to battery-powered gadgets


MIT researchers have developed a chip designed to speed up the hard work of running neural networks, while also reducing the power consumed when doing so dramatically – by up to 95 percent, in fact. The basic concept involves simplifying the chip design so that shuttling of data between different processors on the same chip is taken out of the equation.

The big advantage of this new method, developed by a team led by MIT graduate student Avishek Biswas, is that it could potentially be used to run neural networks on smartphones, household devices and other portable gadgets, rather than requiring servers drawing constant power from the grid.

Why is that important? Because it means that phones of the future using this chip could do things like advanced speech and face recognition…

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