Overcoming the above challenges demands testing practices tailored to AI systems, including: ...

Cool demos aren’t enough — your team needs ML chops and context skills to actually get AI agents into production.

You don't have to spend a ton of money to upgrade your TV's audio quality. Our budget soundbar recommendations balance ...

A “zero-day vulnerability” is an unknown or undiscovered security vulnerability that threat actors/attackers discover before ...

The future of AI user testing will be transformative for web development, and getting in on the act early could pay dividends in getting ahead of your competitors.

Some industry sectors such as automotive and medical continue to push for higher and higher reliability levels; however, many ...

Last week, Microsoft announced the release of .NET 10 RC 1, the first of two release candidates ahead of the final version.

“Most people who use AI for science seem content to allow the developers of AI tools to evaluate their usefulness using their ...

RiskRubric provides a six-pillar framework to quantify AI model risk, guiding secure, compliant adoption with evidence-based ...

Carnegie Mellon University’s Software Engineering Institute has developed the AI Robustness (AIR) tool, a free, open-source platform that helps agencies uncover why an AI system may produce biased or ...

In high-stakes applications like EV battery development, even minor measurement drift can lead to major consequences.