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.

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

The excessive rise of generative Artificial Intelligence has flooded the internet with synthetic text, images, data and media ...

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

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.

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

A machine learning model uses cloud type and cloud cover to predict rapid changes in surface solar irradiance, including short-term “ramp” events that affect grid stability. When tested across 15 ...

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, ...

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 ...