Diffractive Optical Networks Utilize Object Shifts for Performance Boost
Random or controlled object shifts in a time-lapse scheme improve image classification through diffractive optical networks. Credit: Ozcan Lab @ UCLAOptical computing has gained significant interest in machine learning applications due to optics' massive parallelism and bandwidth. Diffractive networks supply one such computing paradigm based upon the transformation of the input light as it...