Penn Engineering’s Nader Engheta, PhD, the H. Nedwill Ramsey Professor, and Firooz Aflatouni, PhD, Professor, Electrical and Systems Engineering, often generate innovative ideas during their regular meetings over cups of tea. Their “brewing” collaboration recently led to the development of a novel chip that uses light for vector-matrix multiplication, crucial for AI neural network training. The new chip promises faster and more energy-efficient computations compared to traditional electronic chips. Their collaborative engagement which combines Engheta’s theoretical expertise and Aflatouni’s experimental skills, effectively showcases the power of interdisciplinary collaboration in advancing technology. Read more here.