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 ...

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 understand the criticality of the ...

Why engineers are turning to system-level models. How high-fidelity digital twins help expose system-level issues. Where MBSE is experiencing the fastest adoption. The roles of AI and data science in ...

The overwhelming majority of MBSE transitions that I have observed fail not because the organizations pick the "wrong" tools ...

The MathWorks Automotive Conference 2026 India showcased the integration of AI, simulation, and Model-Based Design in vehicle ...

Precise Systems' acquisition of Ternion is expected to support faster development of training, experimentation and ...

Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...

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 ...

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 ...

AI nuclear reactor simulation just cleared a decades-long engineering hurdle: Argonne National Laboratory has embedded a transformer neural network into SAM, its flagship advanced reactor safety code, ...