Perceptron: Analyzing images in the blink of an eye and tracking the lifecycle of snow
Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column, Perceptron (previously Deep Science ), aims to collect some of the most relevant recent discoveries and papers — particularly in, but not limited to, artificial intelligence — and explain why they matter. This week in AI, engineers at Penn State announced that they’ve created a chip that can process and classify nearly two billion images per second. Carnegie Mellon, meanwhile, has signed a $10.5 million U.S. Army contract to expand its use of AI in predictive maintenance. And at UC Berkeley, a team of scientists is applying AI research to solve climate problems, like understanding snow as a water resource. The Penn State work aimed to overcome the limitations of traditional processors when applied to AI workloads — specifically recognizing and classifying images or the objects in them. Before a machine ...