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

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

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

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

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

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 ...

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

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

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.