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 ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

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

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 ...

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...

Some school districts, including ones in Maine, New Mexico, Iowa and Oregon, are shifting to standards-based grading, where ...

AI-driven interventions reduce the odds of hospitalization within 7 days by 8% in patients with end-stage kidney disease receiving hemodialysis, according to a recent study.

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

To help solve this problem, Generalist has relied on “data hands,” a set of wearable pincers that capture micro-movements and ...

Discover how artificial intelligence is enhancing fraud detection across online platforms, using real-time analytics and ...

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and ...