What is the best strategy to get the best rate of change in the PID for a manipulated variable, or is there a more elegant ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...

Abstract: This paper proposes a finite-time adaptive tracking fuzzy control approach for nonlinear nonstrict-feedback systems with unknown disturbances and time-varying full state constraints. The ...

Abstract: This article investigates the bipartite consensus problem for nonlinear networked systems with cooperative–competitive interactions subject to the nonlinear control protocols. Based on ...

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 ...

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 ...

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 ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI Deep learning and artificial intelligence continue to push ...