We consider a nonlinear function-on-function additive regression model with multiple functional predictors. The forms of the nonlinear functions are unspecified, and offer great flexibility to model ...

Asymmetric interactions between different species of molecules have previously been demonstrated to result in self-organized ...

In multi-component mixtures of self-assembling molecules, small differences in association energy between components can be amplified by nonlinear effects. This theoretical investigation of self ...

Getting an all-optical AI to handle non-linear math Instead of sensing photons and processing the results, why not process the photons?

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 ...