Chip-based Frequency Comb Sharpens Neural Networks

Through an international collaboration, researchers from the University of Münster have developed photonic processors that combine processing and data storage on a single chip. Led by Wolfram Pernice, a professor at the Institute of Physics and the Center for Soft Nanoscience at the University of Münster, the researchers developed a hardware accelerator for so-called matrix vector multiplications, which serve as the backbone of neural networks. The team’s process featured the combination of photonic structures with PCMs (phase-change materials) as energy-efficient storage elements. Schematic representation of a processor for matrix multiplications that runs on light. Courtesy of University of Oxford. “The...