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.

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 ...

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

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

The time savings from the technology can be redeployed towards business expansion, says chief Tan Su Shan Read more at The ...

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.

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

How will you know your AI agent is ready to launch? Here’s the release-readiness checklist every devops team needs.

Rest Assured “VentiAPI”, by Master of Information and Cybersecurity grads Karl-Johan Westhoff, Bleu Strong, Jenny Garcia, and Tyler Heslop, helps organizations find and fix vulnerabilities in their ...