Packard fellow McMahon rethinks neural-network computing
Using a Packard Fellowship for Science and Engineering from the David and Lucile Packard Foundation, Peter McMahon, assistant professor of applied and engineering physics, aims to harness the power of photonics to build processors for neural networks that are more than 1,000 times more energy efficient.