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

With the advent of AI, the industry has moved from writing code from scratch to AI-assisted or “vibe” coding, and is now transitioning toward fully agentic engineering ...

Abstract: Software specifications are essential for many Software Engineering (SE) tasks such as bug detection and test generation. Many existing approaches are proposed to extract the specifications ...

As part of the partnership, Nvidia is adopting Dassault Systèmes model-based systems engineering (MBSE) to design its AI ...

Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...

To help make commercial fusion energy a reality, PPPL leads the StellFoundry project, which uses AI to sift through enormous amounts of data to determine which fusion system configurations are best.

Abstract: The increasing complexity of modern technical systems, coupled with the growing demand for sustainability and safety, necessitates innovative approaches in system development. Model-Based ...

The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the behavior of atoms and molecules. Among other applications, CP2K plays an ...