Researchers from Skoltech, MEPhI, and the Dukhov All-Russian Research Institute of Automation have proposed a new method to ...

To meet emerging regulatory expectations, AI governance in financial services must incorporate two complementary structural ...

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI ...

Micron Technology is in a supercycle, driven by surging AI-related demand and tight supply. Read why I assign a Hold rating ...

This study re-examines the non-linear relationship between inflation and economic growth in Southern African Development ...

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...

The acts of breathing in and out become compositional devices—intervals through which rhythm and exhaustion surface as ...

Abstract: This paper presents the details of the development, evaluation process, and results of linear and nonlinear time-invariant models used to represent the frequency response of inductive ...

Abstract: Nonlinear models with a linear-in-coefficients property, i.e., the property that the model output is linear with respect to model coefficients, are highly valuable for behavioral modeling of ...

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 ...

Forbes contributors publish independent expert analyses and insights. Kevin Kruse covers leadership development & emotional intelligence. For decades, leadership operated under the illusion that the ...