Abstract: Traditional face recognition systems struggle to balance accuracy, privacy, and computational efficiency in IoT environments. This work addresses these challenges by proposing a novel ...

It is not feasible, nor indeed ethical, to run a facial recognition system against all images on the internet.

François Picard welcomes Alexander Abdelilah, an investigative journalist for Forbidden Stories who has just published a report on how the Iranian regime secretly acquired FindFace in 2019, a powerful ...

This is taking a big and very scary step toward a kind of totalitarian checkpoint society,” a privacy advocate warns in a ...

Abstract: This research aims to enhance the ability of computers to classify emotional states from brain signals using EEG data. Emotions are complex mental states that can significantly affect a ...

Instead of feeding the AI system with textured images, the researchers designed a curvature-fused graph attention network, or ...

Abstract: With the advancement of science and technology and the growing demand for intelligent livestock farming, individual yak identification has become a critical foundational technology for ...

Abstract: Visual limitations in visually impaired individuals pose challenges in understanding facial expressions that are important in social interactions. This research develops a CNN-based face ...

Abstract: Facial identification and detection have significantly risen due to deep learning techniques, especially Convolutional Neural Networks (CNNs), which perform better than traditional methods ...

Abstract: Research on the analysis and prediction of human emotions with deep learning methods has emerged as a critical field. Understanding emotions facilitates understanding human behavior. To ...

Freedom of Information (FOI) requests have revealed the rapidly increasing scale of UK police mass facial recognition searches against the passport and immigration databases. The Government has ...