Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

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, ...

Researchers developed a machine learning model that predicts high-yield antibody-producing cell lines early in manufacturing, ...

Lightweight portable system delivers fast, precise, objective data for rapid aid in diagnosis of concussions in ...

SANTA CLARA, CA / ACCESS Newswire / February 4, 2026 / Expert Intelligence™, a startup building AI systems that ...

The days of large blanket media buys are fading. Always-on testing reduces waste by directing spend toward what is proven to work. AI-powered automation and personalization are key drivers of ...

AI-powered overclocking uses machine learning to boost CPU and GPU performance safely in 2026, delivering higher FPS, better efficiency, and automatic stability.

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Both the UK and US Governments have pledged to end research using animals, but is such a goal realistic? And how might it change medical research? Talha Burki reports.

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

A new study suggests that an AI-assisted blood test, which measures for biomarkers, could help to identify prediabetes risk earlier.