Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

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

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

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

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

A new Fracture Risk Assessment Tool that includes bone microarchitecture measures outperformed the current tool that uses ...

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

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

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