There's one big, glaring reason why you don't see neural networks in mobile devices right now: power. Many of these brain-like artificial intelligence systems depend on large, many-core graphics processors to work, which just isn't practical for a device meant for your hand or wrist. MIT has a solution in hand, though. It recently revealed Eyeriss, a chip that promises neural networks in very low-power devices. Although it has 168 cores, it consumes 10 times less power than the graphics processors you find in phones -- you could stuff one into a phone without worrying that it will kill your battery.