The AI machine learning model to detect a disorder that typically affects babies who are born early was developed by a team of University of Rochester researchers.

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.

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 ...

Mainz Biomed N.V., a molecular genetics diagnostic company focused on early cancer detection, announced that its pancreatic cancer project will receive public funding from the Investitions- und ...

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 ...