Engineers at the University of Pennsylvania have developed a groundbreaking chip that utilizes light waves instead of electricity to perform intricate mathematical operations crucial for training artificial intelligence (AI). This silicon-photonic (SiPh) chip, designed by Benjamin Franklin Medal Laureate Nader Engheta and H. Nedwill Ramsey Professor, has the potential to significantly enhance computer processing speed while drastically reducing energy consumption.
Published in Nature Photonics, the collaborative effort between Engheta’s group and Firooz Aflatouni, Associate Professor in Electrical and Systems Engineering, highlights the innovative approach to chip design. By integrating Engheta’s nanoscale material manipulation expertise with Aflatouni’s pioneering research in nanoscale silicon devices, the team aimed to create a platform for vector-matrix multiplication, a fundamental mathematical operation in neural network development.
Continue reading… “Revolutionizing AI Processing: University of Pennsylvania Engineers Unveil Light-Based Chip for Lightning-Fast Computations”
