Abstract: Neurological disorder diagnosis from EEG signals is hindered by low data resolution and limitations in feature extraction. In this work, the use of Enhanced Super-Resolution Generative ...

A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.

This moment of revelation is common to many people who don’t form mental images. They report that they might never have thought about this aspect of their inner life if not for a chance conversation, ...

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...