With deep learning, organizations can feed enormous quantities of data into so - called
neural nets designed to loosely mimic the way the human brain understands information.
Once the system includes more neurons and the kinks are worked out, it could supply data centers, autonomous cars, and national security services with
neural nets that are orders of magnitude faster than existing
designs, while using orders of magnitude less power, according to the study's two primary authors, Yichen Shen, a physicist, and Nicholas Harris, an electrical engineer, both at MIT.