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

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

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

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

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

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

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic ...

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