The first patenting from Encephalogix Inc. details its development of platform that uses machine learning and AI to analyze EEG data that is typically ignored.

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 ...

Natus Medical Incorporated has announced the global launch of the autoSCORE(TM) analysis tool, spreading the availability of the first artificial-intelligence model capable of automatic and ...

A new study by Apple researchers presents a method that lets an AI model learn one aspect of the structure of brain electrical activity without any annotated data. Here’s how. In a new study called ...

Researchers at Chiba University in Japan have developed a new artificial intelligence framework capable of decoding complex brain activity with significantly improved accuracy, marking an important ...

EEG sensors record brain activity (left), generating brainwave signals (middle) that are analyzed by explainable AI (top right) and mapped onto brain regions (bottom right) to detect and interpret ...