A new systematic review and survey of 350 practitioners distills decades of fragmented research into a 24-factor taxonomy of what...

Researchers have developed FedHybrid-ViT, a privacy-preserving framework that fuses convolutional and transformer models within federated learning to detect deepfakes across...

Researchers have developed a transformer-based framework with local-global attention that identifies writers from scanned handwriting without reading the text, achieving...

A South Korean team has combined U-Net segmentation, hyperbolic mathematical modeling, and Fast R-CNN classification to automate suprahyoid muscle ultrasound...

Researchers at Keio University have developed H-PLE, a hierarchical multi-task recommendation framework that stabilizes expert routing and improves prediction of...

Researchers in India have developed CAT-Net, a hybrid deep learning model combining convolutional networks, coordinate attention, and Transformer encoders to...

Researchers combined YOLOv8s and Pix2Pix with ant colony and particle swarm optimization to stabilize wrinkle detection and realistic cosmetic skin...

A new study combines neural network analysis of aeromagnetic derivatives with 3D magnetic inversion to map hidden fault corridors and...

A new multi-scale deep learning framework called Rain-PostEFNet substantially improves numerical weather prediction rainfall forecasts, with the largest gains in...

Researchers apply Jungian analytical psychology to artificial intelligence, arguing that archetypes, projection and pseudo-individuation reveal how AI mirrors the human...