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

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

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

AI has revealed why cancer survival differs so dramatically around the world, highlighting the specific health system factors that matter most in each country.

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 ...

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

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

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

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