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 ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

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 ...

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

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

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

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