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, ...

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

Function approximation, a central theme in numerical analysis and applied mathematics, seeks to represent complex functions through simpler or more computationally tractable forms. In this context, ...