Abstract: Nonlinear functions are widely involved in modern digital signal processing systems, which are usually calculated by polynomial approximation, CORDIC algorithm, or look-up tables. Due to the ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...

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 ...

Abstract: Unary computing is a relatively new method for implementing arbitrary nonlinear functions that uses unpacked thermometer number encoding, enabling much lower hardware costs. In its original ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

The comparison of floristic vegetation types on the basis of multiway contingency tables obtained by considering the properties of the species (structural, morphological, anatomical, chemical, ...

Objective: This study aims to explore the association between alcohol intake and cognitive function in elderly Americans, including potential nonlinear relationships and interactions across different ...

Current methods for predicting missing values in datasets often rely on simplistic approaches such as taking median value of attributes, limiting their applicability. Real-world observations can be ...

# For this example, the nonlinear relationship can be any combination, e.g., a sine function, polynomial, etc.