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

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

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 ...

AI researcher and JPMorgan Chase Software Engineer gains international recognition for research publications, reviewer ...

Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, ...

In 2026, healthcare technology executive Siddhartha Arora has emerged as a key architect of "high-touch" clinical systems designed to solve the chronic staffing and access crises in rural America. As ...

Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

As we move deeper into AI transformation, there is a growing tendency to focus on the obvious productivity gains. Generative ...

The new challenge for CISOs in the age of AI developers is securing code. But what does developer security awareness even ...

Acquisition brings specialized capabilities in content and rights management systems, expanding DataArt's entertainment ...

Expanded capabilities help enterprises design custom cybersecurity platforms, automate threat detection, and strengthen software defenses using ...