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

Latest release strengthens cross disciplinary engagement, accelerates reviews, and removes barriers between engineers and ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

What global companies look for in engineering teams, and how SA fits the modelIssued by KRSCape Town, 11 Feb 2026 KRS interns 2026. As global software development moves beyond one-location delivery ...

Silent schema drift is a common source of failure. When fields change meaning without traceability, explanations become ...

While some consider prompting is a manual hack, context Engineering is a scalable discipline. Learn how to build AI systems that manage their own information flow using MCP and context caching.

Divyaraj Singh Jatav is a doctoral researcher and AI systems professional based in the United States. His work spans ...

Smart engineering using AI and digital twins is reshaping aerospace production, boosting safety, sustainability and ...

Reliable flow data forms the foundation of every meaningful water resource study”— Joel Chaky BATON ROUGE, LA, UNITED ...

Forward deployed engineering embeds small, outcome-driven teams inside the business to align modern engineering, platform ...

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

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 ...