An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate defect detection in railway track fasteners, a key task for smart railway ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Machine learning often feels difficult at the beginning, especially when everything stays theoretical. That changes once you ...

Researchers have unveiled an interpretable, lightweight AI text detection framework using classical machine learning models that achieves near-perfect accuracy while lowering computational costs.

Can machine learning automatically detect important changes in a material’s Fermi surface from complex and noisy data?

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...