It’s the same math that explains how, under the right conditions, the atmosphere above a barren plain can produce a roiling ...
In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...
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 ...
Investigating task- and stimulus-dependent connectivity is key to understanding how the interactions between brain regions underpin complex cognitive processes. Yet, the connections identified depend ...
Abstract: This paper studies the distributed optimization problem of high-order multi-agent systems with unknown nonlinear terms and input saturation. Unlike existing results, nonlinear functions in ...
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 ...
Abstract: In this note, we discuss a generalization of the well-known implicit function theorem to the time-delay case. We show that the latter problem is closely related to the bicausal changes of ...
1 Department of Mathematics Faculty of Science, King Abdul Aziz University, Jeddah, KSA. 2 Department of Mathematics Faculty of Science, King Khaled University, Abha, KSA. There are several techniques ...
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