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Model based systems engineering, or MBSE, gives engineering teams the ability to control and manage the vast amount of data generated by the modern design and development processes. It’s effective, ...

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, ...

Although digital engineering has been around for years, its use within the Pentagon has been limited. The T-7A Red Hawk is one of only a handful of programs described as “radically digital." (Boeing) ...

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 ...

As heterogenous integration increases design complexity and forces engineers out of long-standing silos, model-based systems engineering (MBSE) is becoming essential for improving quality and reducing ...

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 ...

Jumping straight into digital twins can cause problems, but if you do it the right way, they offer incredible solutions. Siemens Digital Industries Software has sponsored this post. Engineers are in ...

Flood resilience depends on more than identifying where water flows. It requires engineering judgment, regulatory awar ...

Knowledge engineering is a field of artificial intelligence (AI) that enables a system or machine to mimic the thought ...

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 ...