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 ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
5hon MSN
Machine learning model predicts serious transplant complications months before symptoms appear
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...
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..
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, ...
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.
As of February 2026, face swap technology has moved far beyond novelty filters. After testing 15+ platforms across photos and videos, I've found tools that ...
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