Machine-learning iMAP coaching track achieves a 55% depression remission rate by personalizing lifestyle targets.

Using the second-nearest neighboring atoms to predict metallic glass stability can help researchers more accurately model the disordered solid with strong, elastic properties, according to a recent ...

The AI machine learning model to detect a disorder that typically affects babies who are born early was developed by a team of University of Rochester researchers.

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 ...

RIT computer science professor Weijie Zhao has earned a National Science Foundation CAREER Award to defend machine learning ...

A People Analytics study of 205 tech professionals found that promotions, internal mobility, and career momentum are stronger predictors of early attrition than workplace culture.

Machine learning models could help clinicians estimate individualized risk for major complications among women undergoing ...

New York, USA — US-DATA helps companies turn raw images, videos, audio and text into high-quality datasets for training, testing and improving AI models.US-DATA, a data annotation company specializing ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine learning in regulated finance, governance alignment, fairness, compliance, ...

The proposed framework combines machine learning and earthquake engineering to prioritize high-risk buildings, optimizing ...