In modern motorsport, the stopwatch does not tell the whole story. Races are increasingly decided by how intelligently teams ...

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 ...

Uttar Pradesh implements smart policing with improved training, cyber security, forensics, and the Commissionerate framework ...

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 ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

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 ...

Predictive and dynamic AI models that learn the rules and transformations of complex environments, physical or simulated.

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 ...