Optical Neural Network Could Lead to Intelligent Cameras

UCLA engineers have made major improvements on their design of an optical neural network — a device inspired by how the human brain works — that can identify objects or process information at the speed of light. The development could lead to intelligent camera systems that figure out what they are seeing simply by the patterns of light that run through a 3D engineered material structure. The new design takes advantage of the parallelization and scalability of optical-based computational systems.