Engineers create hybrid chips with processors and memory to run AI on battery-powered devices

Transactions between processors and memory can consume 95 percent of the energy needed to do machine learning and AI, which severely limits battery life. A team of engineers has designed a system that can run AI tasks faster, and with less energy, by harnessing eight hybrid chips, each with its own data processor built right next to its own memory storage.