Data analysis is enabling teams to make better decisions, and systems engineering is no different. Digital solutions have emerged to help engineers gather and analyze data from modeling, simulation, ...

Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...

Compute efficiency is therefore becoming part of model architecture. It should not be treated only as a deployment issue that ...

Model-based systems engineering is quietly, but consistently, becoming an important part of the design, maintenance, and cybersecurity of the federal government’s most complex IT platforms. MBSE ...

Digital transformation is pervasive in our daily lives. Seemingly limitless and lightning quick access to people, information and services has the world thinking differently, getting more done 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 ...

The first point is that privacy has to drive the design. Medical images have to pass a specialized data flow in which there are clear points for origin, removal of identifiable information, encryption ...

Advanced oil gas simulation, digital twins, and HIL validation improve operational reliability, reduce technical risk, and ...

Over the past decade or so, foundation models have emerged as the dominant paradigm for interacting with language, images, and code. Large Language Models (LLMs) can generate text. Vision models can ...