Energy & Green Tech

Low-power AI chip cuts drone identification energy use by 88.7%

Doyeon Kim, an undergraduate researcher in the Department of Electronic and Electrical Engineering, has published a paper in an academic journal. The research focuses on implementing drone artificial intelligence (AI) identification ...

Engineering

Neutron imaging peers inside iron redox flow batteries

A renewable energy future will rely on cheap and scalable battery technologies. A promising option is an all-iron redox flow battery, which uses iron—an abundant, low-cost, and safe material. Battery performance depends on ...

page 5 from 40