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 ...

A new study published in Frontiers in Computer Science introduces a decentralized cybersecurity model that combines federated ...

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

Ouster has begun shipping its Rev8 native color lidar, projecting Q2 2026 revenue of $49.5–$52.5 million, while Singapore’s central bank is piloting AI and machine learning models to detect scams ...

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

A novel AI-assisted biosensor for choline quantification in milk combines chemiluminescence and smartphone technology, ...

Machine learning often feels difficult at the beginning, especially when everything stays theoretical. That changes once you start working on real projects and see how models are actually used.

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