Parallel Implementation Of Nonlinear Functions Using An Optical Processor (UCLA)


A new technical paper titled "Massively parallel and universal approximation of nonlinear functions using diffractive processors" was published by researchers at UCLA. Abstract "Nonlinear computation is essential for a wide range of information processing tasks, yet implementing nonlinear functions using optical systems remains a challenge due to the weak and power-intensive nature of optic... » read more