When experimental results don't match scientists' predictions, it's usually assumed that the predictions were wrong. But new ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

The journey towards autonomous operations involves incremental steps, each bringing businesses closer to a state where systems can independently manage and optimize processes, ensuring sustained ...

As city grids evolve with renewable resources and IoT integration, digital twins offer a scalable solution for proactive ...

Predictive analytics has become one of the most practical technologies shaping modern business strategy. While it is often ...

A collaboration between BHP Group Limited (NYSE: BHP) and Microsoft has used artificial intelligence and machine learning with the aim of improving copper recovery at the world’s largest copper mine.

Lyophilization model can help optimize freeze-drying steps for continuous manufacturing processes, according to MIT researchers.

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across applications in welding, automotive manufacturing and ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

Abstract: Model predictive control (MPC) has attracted considerable interest for its ability to generate optimal control strategies, yet its application to nonlinear systems is often constrained by ...