A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...
The processors in today’s computers have grown tremendously in performance, capabilities and complexity over the past decade. Clock speed has skyrocketed, and size has dwindled, even as the number of ...
Figure | Artistic depiction of a diffractive optical processor for massively parallel and universal approximation of nonlinear functions. Input variables are encoded into the phase of a light wave, ...