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

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

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.

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...

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

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

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

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

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 ...