AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...

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 ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to probabilistic, generative, and self-learning systems. AI-driven DQ frameworks ...

Anyone interested in how digital advances are changing the landscape and capabilities of manufacturing, from high school graduates exploring careers to operations managers and business owners hungry ...

A new group-evolving agent framework from UC Santa Barbara matches human-engineered AI systems on SWE-bench — and adds zero ...

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

Software can help developers assess AI model energy use, which is necessary to lower costs and strain on the grid Servers at the Michigan Academic ...

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

Nvidia is putting its AI infrastructure, models, and libraries together with virtual twin technology from 3D design software vendor Dassault Systèmes to build a shared architecture the companies ...

Discover why the University of Oxford and Harvard lead the world in medicine for 2026. Explore Oxford’s #1 MBBS ranking, its unique tutorial system, and the various medical courses offered at this ...

AI transformation cannot be "AI for everything." Successful enterprises focus on a limited set of high-impact use cases with measurable outcomes.