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

A review led by Adelaide University researchers has found there's a lack of clear guidelines around the early testing of AI tools in health clinics during a process known as silent trials. The global ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/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 ...

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

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

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

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

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.

A mysterious RNA found in breast cancer led scientists to uncover an entire hidden class of cancer-specific RNAs across ...