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, ...

When our power finally came back on — heat humming, clocks blinking 12 a.m. — it felt like relief mixed with a quiet lesson.

A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.

Q4 2025 Earnings Call February 11, 2026 7:30 AM ESTCompany ParticipantsCiaran Potts - Head of Investor RelationsAnthony P. J.

Marking a corporate structural shift in Sri Lanka, what was once voluntary ESG disclosure is now hardening into mandatory reporting, regulatory, and strategic requirements, said a panel of experts ...

The India-US trade deal is largely a complementary one between a developed and a developing economy and its benefits are ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...

Learn why cytotoxicity test failures are common in medical devices and discover systematic approaches to identify root causes ...

The shift to multi-die assemblies is forcing changes in how chips are tested and inspected in order to achieve sufficient yield ramp or respond more quickly to yield excursions.

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

In today’s advanced packages, however, resistance no longer resides primarily inside transistors or neatly bounded test ...