The Army is undergoing one of the most significant command-and-control transformations in its history with the development of ...

Researchers at the University of Pennsylvania have developed ApexGO, a novel, AI-powered method for turning promising but imperfect antibiotic candidates into more potent ones. Unlike many existing AI ...

Latest version of the industry's leading exploitation prediction model represents a 23% improvement CHICAGO, IL, UNITED ...

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.

The business practice of adjusting prices using algorithms powered by artificial intelligence—known as AI pricing—has grown ...

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

Around the world, algorithms are increasingly being asked to do something once reserved for human judgment: help decide who should remain free and who should be deprived of liberty. In recent years, ...

Sepsis, a life-threatening condition that can escalate quickly and lead to organ failure or death if not identified and treated promptly, requires early detection and management. However, identifying ...

This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies. Clinical ...

Texas Instruments introduced single-chip battery fuel gauges with adaptive Dynamic Z-Track technology for battery-powered devices. The predictive modeling algorithm in TI’s BQ41Z90 and BQ41Z50 gauges ...