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

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 ...

The company uses a decade of operational data and its in-house machine-learning pricing model to protect its customers from ...

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

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 ...

A new study has shown that biochar, a carbon-rich material produced from biomass, can significantly reduce phosphorus losses ...

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

Scientists at the Royal Botanic Gardens, Kew, World Forest ID, University of Sheffield and international collaborators have ...

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

The forecast is still coming into focus, but there at least a chance that parts of Minnesota see severe storms Sunday-Monday.

The most advanced neobanks are now implementing architectures that aggregate real-time activity to generate weekly ...