There is no doubt what took centre stage in the theatre of business applications in 25: agentic AI, surpassing pre-2022 AI, ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning ...

Across physics, biology and philosophy, a once-fringe idea is gaining new intellectual weight: the possibility that the ...

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...

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 ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...

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 ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...