New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Delhi have combined traditional models used to predict streamflow in India's rivers with artificial intelligence, finding that the new approach significantly improved prediction accuracy in 208 of the ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

We are glad that Isomorphic is helping advance the field and are able to match the level of performance we demonstrated at ...

A multi-institutional team of researchers led by Virginia Tech's Fralin Biomedical Research Institute at VTC has for the first time identified specific patterns of brain chemical activity that predict ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

Researchers say the deep learning model may help to create leads for new cancer diagnostics, patient stratification, and future therapies.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...