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

This paper is concerned with the long-time behavior of solutions for a class of stochastic semilinear degenerate equations with memory driven by nonlinear noise on ℝ n ...

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

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

Advancements in nonlinear optics using 2D materials are transforming photonic devices, offering enhanced performance and ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...