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 ...

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

Abstract: Modern advancements in hardware implementation of Deep Neural Networks (DNNs) have underscored the need for efficient and accurate nonlinear activation function approximations to reduce ...

Can light perform millions of calculations at once without extra materials? A new optical system shows how this can be done.

Abstract: In order to realize the balance and path tracking control of unmanned motorcycle without self-balancing auxiliary device. In this paper, a coupling control scheme is proposed, which uses ...