Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

XRP sentiment hits extreme negativity with Fear & Greed at 24. Research shows sentiment extremes predict reversals with 70-91 ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...