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, ...

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, ...

The days of large blanket media buys are fading. Always-on testing reduces waste by directing spend toward what is proven to ...

Researchers at QuTech in Delft, The Netherlands, have developed a new chip architecture that could make it easier to test and ...

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.

In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific ...

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 ...

DONGYANG CITY, ZHEJIANG PROVINCE, CHINA, January 20, 2026 /EINPresswire.com/ -- The global plastic packaging industry ...

Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?