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, ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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

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..

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 ...

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.

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 ...

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.

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

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 ...