Membership Inference Authors, Creators & Presenters: Zitao Chen (University of British Columbia), Karthik Pattabiraman ...

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, ...

Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...

AI, or Artificial Intelligence, was a creation of the tech community. Imagine the same community now getting worried about its own creation. It is exactly what’s happening today at various levels. But ...

KLAS Research recently published a validation study examining three large health systems’ adoption of Suki’s AI clinical intelligence and found that all three organizations experienced reduced ...

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 ...

A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...

One thing to emerge from OpenClaw is Moltbook, a social network where AI agents post, comment and share information ...

To fill the talent gap, CS majors could be taught to design hardware, and the EE curriculum could be adapted or even shortened.

What sets Codeflash apart, he argues, is that it operates not just as a one-time audit or consultancy (as many optimization firms do) but as a continuous engine: “Codeflash has beaten us at optimizing ...

For at least a decade, much of the must-have cybersecurity tools available have been powered by machine learning, predictive analytics, and pattern recognition—subsets of the broader bucket of ...

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