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 ...

See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with ...

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

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

Shape memory alloys are exotic materials that can be deformed at room temperature and return to their "remembered," ...