Live Science

AI is getting better and better at generating faces — but you can train to spot the fakes

Surprisingly, the training increased accuracy by similar amounts in super recognizers and typical recognizers, Gray said.
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

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 ...
Live Science

Do you think you can tell an AI-generated face from a real one?

With the rapid advances in artificial intelligence, computer-generated images — including hyperrealistic faces — are becoming ...
IEEE

3DDGD: 3D Deepfake Generation and Detection Using 3D Face Meshes

Abstract: 3D face technology is revolutionizing various fields by providing superior security and realism compared with 2D methods. In biometric authentication, 3D facial features serve as unique, ...
IEEE

YOLOv9-Based Human Face Detection and Counting Under Human-Animal Faces, Complex Imaging Environments, and Image Qualities

Abstract: Automatic human face detection and counting can play a vital role in the recognition and tracking of infant and adult faces in both outdoor and indoor human surveillance applications and ...