Researchers at the University of Tsukuba have created a new method for deriving approximate linear equations to complicated nonlinear problems. Using simulation results, they show that the model ...

A new framework called FLARE combines nonlinear machine learning flexibility with closed-form uncertainty estimates, ...

Control theory provides a mathematical and conceptual framework for influencing the behaviour of dynamic systems so that they perform in a desired manner. In the linear domain, systems are described ...

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 ...

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 ...