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 ...

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

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

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 ...