David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...

In today’s highly competitive digital economy, professional certifications have become one of the most powerful tools for ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Discover how AI anti cheat systems enhance gaming security by detecting cheating, protecting fair play, and evolving with ...

Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...

Quantum computing future explained through cryptography, optimization, and AI breakthroughs showing how quantum computing ...

For years, Rutgers physicist David Shih solved Rubik's Cubes with his children, twisting the colorful squares until the ...