Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

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

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

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 ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...

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

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an exercise ...

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