Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

The key to developing flexible machine-learning models that are capable of reasoning like people do may not be feeding them oodles of training data.Instead, a new study suggests, it might come ...

Machine learning models indicate that age, blood pressure, and body mass index are the strongest predictors of cognitive performance, as measured by attention and inhibitory control tasks.