Researchers at the University of Essex and British Telecom have built an AI video auditing system that combines fuzzy logic,...

Researchers in South Korea have developed a multimodal deep learning model that fuses visual analysis and textual rubrics to automatically...

A controlled benchmark from El Salvador found that the lightweight hybrid MobileViT-v2-100 model reached 96.45 percent accuracy in classifying sugarcane...

Researchers in China have built an explainable AI framework that predicts student readiness for Industry 4.0 careers with 98.92 percent...

Researchers have built a hybrid quantum-classical deep learning model that uses variational quantum circuits and a statistical image prior to...

A new PLOS Complex Systems paper lays out a unifying framework for autonomous agentic AI while cataloguing the hallucination, scalability,...

Researchers have developed CL3AN-GNN, a graph neural network that borrows curriculum learning from education to progressively disentangle features and boost...

Researchers in Türkiye used an explainable machine learning framework combining XGBoost and SHAP to identify age and postpartum diseases as...

A new AI framework called RCTE improves the detection of small lesions and complex dental structures in panoramic radiographs while...

Researchers have combined an Enhanced-Value attention scheme within a Swin Transformer with super-resolution-guided training to improve detection of tiny objects...