MIT has a new chip to make AI faster and more efficient on smartphones
Just one day after MIT revealed that some of its researchers had created a super low-power chip to handle encryption, the institute is back with a neural network chip that reduces power consumption by 95 percent. This feature makes them ideal for battery-powered gadgets like mobile phones and tablets to take advantage of more complex neural networking systems. Neural networks are made up of lots of basic, interconnected information processors that are interconnected. Typically, these networks learn how to perform tasks by analyzing huge sets of data and applying that to novel tasks. They're used for now-typical things like speech recognition, photo manipulation , as well as more novel tasks, like reproducing what your brain actually sees and creating quirky pickup lines and naming craft beers . The problem is that neural nets are big, and the computations they run through are power-intensive. The ones in your phone tend to be tiny for that reason, which limits their ultima...