Biological processes that govern our lives are many, intertwined, and often difficult to understand. They involve countless ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Abstract: We provide an algorithm for the simultaneous system identification and model predictive control of nonlinear systems. The algorithm has finite-time near-optimality guarantees and ...

AI-driven predictive technology is reshaping warehouse safety. From smart cameras and sensors to wearables and VR training, new tools are helping managers detect risks early, prevent injuries, and ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

Abstract: Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...

Background: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death globally and a major public health issue in China. This study aims to develop a COPD predictive model and ...

This study presents a comprehensive clinical decision support system aimed at personalizing antidepressant treatment selection using synthetic patient data, predictive modelling, and reinforcement ...

At IAFP 2025, AI was no longer a future concept. Speakers from Ecolab, Creme Global, Chick-fil-A and the FDA shared real-world examples of AI driving improvements in compliance, data integration and ...