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, ...

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

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

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

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

Digital twins and prognostic models deliver detailed insights into a battery’s behaviour and lifespan, and machine learning..

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

A single clear image can rewire the visual brain, making later recognition faster without relying on memory systems.

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

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 ...

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions. With the market for these ...

Study provides an inside look at how school psychologists are using AI tools at work, as well as their views on its benefits and potential areas of concern.