TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
IEEE

Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection

Abstract: We describe the Forensics Adapter, an adapter network designed to transform CLIP into an effective and generalizable face forgery detector. Although CLIP is highly versatile, adapting it for ...
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.
IEEE

Integration of Computer Vision Systems in Robotics and Industry 4.0

Abstract: Computer vision is the field that focuses on automating and combining various processes and representations used for visual perception. The subject encompasses numerous approaches that ...

Just 5 minutes of training makes fake AI faces easier to spot

Five minutes of training can significantly improve people's ability to identify fake faces created by artificial intelligence ...
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 ...