Scientists Model Circuits on the Human Brain in NANO Supercomputer

"Imagine connecting a neuromorphic device to a camera on your car, and having it recognize lights and objects and make a decision immediately, without having to connect to the internet," Jeehwan Kim, associate professor of mechanical engineering at MIT who led the work, said in a prepared statement. "We hope to use energy-efficient memristors to do those tasks on-site, in real-time.” In practical terms, this technology could lead to far superior smartphone cameras and smarter self-driving cars. Illustration by SANFORD – AGLIOLO, GETTY IMAGES; chip detail by PENG LIN.  The research was reported June 11 by Popular Mechanics magazine.