Speeding up machine learning WSU Insider Washington State University

A self-driving car has a split second to determine whether the image it sees is a person and whether that person has stepped on or off a curb. A mistake, of course, would have deadly consequences. Such is the increasingly challenging world of artificial intelligence and machine learning with demand for computers and robots that can instantly analyze images, reason and solve problems. One of the biggest challenges in AI is that computers simply can't do the computations fast and accurately enough, especially in regards to understanding fast-changing images. Washington State University researchers have recently developed a computer architecture that achieves similar accuracy as conventional graphical processing units (GPUs) but works more than 50 times faster.