In software testing, Agentic AI changes how testing is handled across applications. Instead of relying solely on fixed ...

The promise of AI-driven test generation is real but so is the gap between what it looks like and what it delivers.

Multi-die assemblies greatly increase the number of things that can go wrong, and the difficulty of finding them.

The next wave of AI in software development goes beyond better code generation: agents are starting to take accountability throughout planning, design, build, test, release and operations. In the ...

SaMD development has always operated under tension: the need for rapid iteration versus the requirement for rigorous ...

The promise of smart test is a data-chain problem before it is an algorithm problem. A device can pass every checkpoint and ...

Last week’s post addressed the myth that LLMs make programmers, security analysts, and incident responders optional. The ...

Software testing in regulated sectors requires more than speed. See how to integrate AI while preserving accountability and ...

Quality checks are planned inspections and tests that confirm whether a product is safe, reliable, and ready for everyday use ...

The Nusenda Fintech Lab at New Mexico State University's Arrowhead Center hosted its Bold Idea Challenge on April 24, 2026, at the Corbett Center Student Union on the NMSU campus. The competition ...

AI makes coding incredibly fast, but our human-centric workflows are creating massive verification logjams that ruin actual ...

Software quality assurance encompasses the systematic processes and practices applied throughout the software development life cycle to ensure that products meet predefined standards of functionality, ...