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

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

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

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

Abstract: Heavy rainfall prediction is crucial for various applications such as flood forecasting, water resource management, and agriculture. In this study, we propose a multi linear regression ...

AI might know where you're going before you do. Researchers at Northeastern University used large language models, the kind of advanced artificial intelligence normally designed to process and ...

Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks, or MOFs.MOFs are an ...

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

A new machine learning tool developed at Princeton will enable researchers to sift through trillions of design options to predict which metal organic framework will be useful in laboratories or ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

As the ATP Brisbane tournament heats up, tennis fans are eagerly awaiting the showdown between Rinky Hijikata and Adam Walton in the round of 32. With a myriad of pr ...