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 ...

AI might know where you're going before you do. Researchers at Northeastern University used large language models, the kind ...

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

Researchers at Palo Alto, Calif.,-based Stanford Medicine have developed an AI model capable of predicting an individual’s risk of developing more than 100 health conditions using sleep study data.

Tools such as CRISPR can edit genes with precision, but the process of determining which genes to target is costly and slow, ...

Biology has always been an unruly science. Cells divide when they want to. Genes switch on and off like temperamental lights.

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

Well, sort of. Machine learning, an older form of AI, has long been used in all sorts of scientific research. One branch, ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Demand for Big Data services is increasing. Palantir, a leader in the field, should benefit. Here are the forecasts and price ...