A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...

UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...

For the first time, researchers have used a surface normal nonlinear photodetector (SNPD) to improve the speed and energy efficiency of a diffractive optical neural network (ONN). The new device lays ...