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

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

We saw in the previous lecture that perceptrons have limited scope in the type of concepts they can learn - they can only learn linearly separable functions. However, we can think of constructing ...

Analytic functions constitute a cornerstone of complex analysis, being defined on regions where they can be expressed as convergent power series. Of particular interest are starlike functions—those ...

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