Overview: Artificial Intelligence is revolutionizing modern education by making learning smarter, more personalized, and ...

As 2026 approaches, dealmakers face a dual challenge: balancing macro uncertainty with the transformative potential of the ...

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...

Emotions are constructed, not discovered. Relational safety—not precise labels—allows the brain to tolerate uncertainty, ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing high-volume liposuction, reports a study in the January issue of Plastic and ...

AI only creates lasting value when it is woven into the flow of work. Retail and CPG companies must redesign processes so AI ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

A new study published in Science Translational Medicine by researchers at The University of Texas MD Anderson Cancer Center ...

Abstract: This study tackles the challenge of optimizing light emitting diode (LED) street lighting to enhance energy efficiency without compromising safety and comfort in dynamic urban environments.

A new study published today in Science Translational Medicine by researchers at The University of Texas MD Anderson Cancer Center details a therapeutic vulnerability in  patients with an aggressive ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...