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 ...

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 ...

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.

Penn Engineers have developed a system that lets robots see around corners using radio waves processed by AI, a capability ...

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

The latest in z.ai's ongoing and continually impressive GLM series, it retains an open source MIT License — perfect for ...

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

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

In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific ...

Alibaba unveils RynnBrain, an open-source embodied AI model designed to power robots and compete with leading US robotics AI ...

Throughout the past decade, Northwestern University scientists have uncovered a striking principle of vaccine design: ...