QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

As AI models migrate from secure data centers to exposed edge devices, a new threat vector has emerged: model theft. Popat identified this vulnerability early, pioneering a novel defense mechanism ...

LEGO Education’s CS and AI curriculum is designed to build AI literacy by turning students from passive users into active ...

Roblox launched an artificial intelligence technology on Wednesday that can generate fully functioning in-game models using ...

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code ...

As the pace of product development for AI-powered toys accelerates, controversy — and warnings — about the appropriateness of ...

Strategic AI-driven QE can be the key to accelerating delivery, strengthening reliability and maintaining market velocity.

AI has fundamentally altered how teams think about mobile software, moving the focus from feature accumulation to long-term ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

CANOPY reports AI will transform the workplace by 2026, enhancing productivity, reshaping culture, and requiring new skills ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...