AI analysis of data from multiple sensors can improve earthquake detection

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.
IEEE

NeuroFormer: A Deep Learning Framework for Alzheimer's Detection Using EEG Signals

Abstract: Alzheimer's disease (AD), is a prevalent neurodegenerative disorder, characterized by cognitive decline. Alongside AD, and Frontotemporal dementia (FTD) poses significant challenges in ...
GitHub

Alzheimer’s Disease Classification from EEG using a Multiscale Temporal Deep Network

@article{zini2026alzheimer, title={Alzheimer’s disease classification from EEG using a multiscale temporal deep network}, author={Zini, Simone and Barbera, Thomas and Bianco, Simone and Napoletano, ...
eLife

Cross-modal interaction of human alpha activity does not reflect inhibition of early sensory processing in a frequency-tagging study using EEG and MEG

Selective attention involves prioritising relevant sensory input while suppressing irrelevant stimuli. It has been proposed that oscillatory alpha-band activity (~10 Hz) aids this process by ...
FierceBiotech

Zeto’s latest EEG device garners FDA 510(k) clearance for outpatient use

Zeto received a third FDA clearance for an EEG device designed for use in outpatient clinics or at home. (iStock / Getty Images Plus) Zeto, which makes brainwave monitors for emergency rooms, received ...
The New York Times

Pentagon Investigator Faults Hegseth for Improper Use of Signal

An inspector general report to be released on Thursday examined the defense secretary’s use of a private messaging app to discuss airstrikes in Yemen. By Robert Jimison Megan Mineiro and John Ismay ...
9to5Mac

New Apple research hints at how future AirPods could read brain signals

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 ...
News Medical

New AI models detect dementia with high accuracy using EEG signals

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...