Addressing a variety of complex issues early in the design cycle can save time on the back end, speeding time to market with better quality.

What you’ll learn: How model-based systems engineering (MBSE) has improved system design. Thermal design and MBE come together. When considering systems-level design, it’s important to ...

Control and Systems Engineering research at Sheffield has a proud history dating back to the 1960s. ... and battery energy storage systems. Model Identification and Learning-based Control We cover ...

Through his research and technical leadership, Naveen continues to contribute to the evolution of trustworthy, adaptive ...

Factories are increasingly adopting a Unified Namespace architecture—an event‑driven, centralised framework that unites data from diverse systems under a single, real‑time source of truth. By ...

The new software, part of the Siemens Xcelerator portfolio, fully supports the SysML v2 open standard and leverages the two organizations’ decades of systems engineering expertise. SysML v2 is a new ...

As AI systems become more a part of our daily lives, the demand for people skilled in working with and building these systems will keep growing. In the past, data scientists were essential for ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

P-1 AI comes out of stealth, aims to build engineering AGI for physical systems. The company announces a $23M seed round led by Radical Ventures.

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the ...