In the increasingly digital world, the demand for faster, more efficient and miniaturized optical devices is ever-growing.

Discover how the seven factors of the McKinsey 7-S Model can align strategy, structure, and more for a company’s ...

Evonik and Imubit started a pilot collaboration to evaluate advanced industrial Artificial Intelligence (AI) applications within Evonik’s facility in Singapore. The open-loop pilot will assess ...

This study presents a quantum photonic approach to time-series forecasting, enhancing prediction accuracy through multiphoton ...

Multiple research fronts saw major advances on April 24, 2026, with AI models driving new capabilities in protein interaction prediction, automated protein design, and earthquake engineering ...

Quantum computing has taken a meaningful step from theory towards application after researchers showed that a hybrid system combining quantum hardware with artificial intelligence can improve ...

The Centers for Medicare & Medicaid Services now is accepting applications for the MAHA ELEVATE model, a roughly $100 million initiative that will fund up to 30 cooperative agreements over three years ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

Physical modeling synthesis aims to simulate sound by solving the equations governing an instrument or acoustic system’s behaviour. This paradigm stands apart from signal-based methods by directly ...

ABSTRACT: In order to better extract the displacement fault signals inside bearings based on the vibration characteristics of rolling bearings after failure, a two-degree-of-freedom model simplifying ...

Abstract: System identification is essential for modeling and control of nonlinear dynamic systems. In practice, traditional linear or unidirectional recurrent models often fail to capture the ...