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

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 ...

Abstract: Model predictive current control (MPCC) based on sliding mode disturbance observer (SMDO) effectively addresses the issues arising from parameter mismatches and unmodeled nonlinear elements ...

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.

Abstract: Integrating thermal and electrical demands in residential energy systems is challenging due to dynamic usage patterns and resource constraints. This paper introduces a cloud-based home ...

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