This prediction approach achieves higher agreement in predictions by optimizing the concordance correlation coefficient (CCC), which measures how well pairs of observations fall on the 45-degree line ...

Theoretical and simulation estimates of turbulent transport (high-dimensional data that depend on plasma conditions such as density, temperature, and magnetic field) are used as low-fidelity data, and ...

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 ...

A breakthrough in space weather prediction has arrived, thanks to an innovative AI system developed by researchers at NYU Abu Dhabi. The system, which can predict solar wind conditions up to four days ...

Traders use Polymarket to predict outcomes, but the platform itself doesn't predict future events. It measures how the crowd currently estimates probability based on available information, similar to ...

In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...