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 ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

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 AI moves to operational reality, PLM companies are prioritizing faster decisions and agentic intelligence integration over ...

One of the best approaches to mitigate hallucinations is context engineering, which is the practice of shaping the ...

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 ...

This Model-Based Systems Engineering (MBSE) course and the Digital Thread: Components and Digital Thread: Implementation courses bring together the concepts from across digital manufacturing and ...

A recent study by MIT’s Project NANDA highlighted a sobering statistic: Roughly 95% of AI projects fail to deliver bottom-line value. They hit walls when moved from the sandbox to the real world, ...

Gen AI in software engineering has moved well beyond autocomplete. The emerging frontier is agentic coding: AI systems capable of planning changes, executing them across multiple steps and iterating ...