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 ...

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 ...

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 ...

Train professional engineers in advanced methods of engineering analysis and modeling for exploration, simulation and optimization of mechanical engineering systems. Develop theoretical understanding ...

This course introduces the basic concepts of functional verification and model checking, highlighting their importance in modern system designs. It explains different modeling formalisms for ...

By 2024, engineering simulation has evolved into a cornerstone of industrial innovation, underpinning efforts to address ...

The digital parts of the system must be accurate in order to reliably simulate a robotics system. Higher-quality components ...

The so-called V-model provides many benefits for organizing the system engineering perspective by depicting the orderly progression, from requirements definition to system-level specification, ...

One early Neurometric customer cut a core AI workflow from $40,000 a year to $250 a month - and actually improved accuracy in ...