SeaCast is an innovative high-resolution forecasting system for the Mediterranean that harnesses AI to deliver faster and more energy-efficient predictions than traditional models. Unlike existing ...

When severe weather strikes, the National Weather Service's (NWS) Office of Water Prediction (OWP) makes critical flood ...

Terray Therapeutics today unveiled the latest EMMI prediction model, a universal potency model that outperforms the industry: ...

Engineers have developed a groundbreaking computational model to study the movement of granular materials such as soils, sands and powders. By integrating the dynamic interactions among particles, air ...

Boltz-2 is the first biomolecular co-folding model to combine structure and binding affinity prediction, approaching the accuracy of physics-based free energy perturbation (FEP) calculations but at ...

Researchers at IIT Delhi have advanced river flow prediction accuracy by merging traditional models with artificial intelligence. Testing 220 rivers in India, results showed improvement in 208. The AI ...

A recent study developed a highly accurate risk prediction framework for preterm birth (PTB) that could broaden the potential of AI-driven multi-omics applications in precision obstetrics and ...

Ever since artificial intelligence entered the mainstream, scientists have been eager to unleash it on weather forecasting. The forecasts we get from our smartphones, TVs, and smart speakers take a ...

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 ...

Researchers at the University of Chicago Medicine have developed a set of polygenic risk score (PRS) models that significantly improved the ability to predict breast cancer risk in women of African ...