Distributed model predictive control (DMPC) offers a computationally efficient alternative to centralized model predictive control (CMPC) for enabling the optimal control of industrial process systems ...

Metal-organic (MO) precursors are the chemical building blocks at the heart of atomically precise complex oxide materials.

Traditional leadership models are breaking under the pace of change; LEAD and CORE offer a framework for resilient, adaptive leadership.

Intelligent agriculture requires precise, real-time control of diverse systems ranging from greenhouse climates to autonomous ...

Jet-powered humanoid iRonCub achieves simulated flight stability, paving the way for disaster-response and advanced robotics applications.

A group of researchers has developed and externally validated the first-ever predictive model to help clinicians identify ...

Bengaluru is planning a SimCity-style AI-powered Mobility Digital Twin to tackle its notorious traffic jams. The system will use real-time data and predictive modelling to make city traffic smarter ...

AI/ML technologies are revolutionizing pharmaceutical formulation by optimizing excipient selection and predicting stability, reducing time and resources needed for development. Poor solubility of ...

Using IoT, AI, and digital twin technology, Intangles helps vehicle OEMs and fleet operators with proactive vehicle health ...

Greg Berg talks to product specialists from Case IH, New Holland and John Deere about harvest technology features on their combines.

Schneider Electric’s Jacob Thompson and AVEVA’s Graeme Fukuda explored the future of automation during a WEFTEC 2025 ...

An AI model used seven common clinical measures of inflammation, nutritional status, and more to predict ALS prognosis, a ...