Improving the efficiency of AI accelerators and image processing in College of Engineering
Researchers at the School of Electrical and Computer Engineering at the Faculty of Engineering have succeeded in significantly reducing power consumption, chip area, and computing latency by presenting a new architecture for floating-point multipliers; an ...

