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Artificial intelligence accurately charts sleep stages without intrusive brain sensors

Researchers have developed an artificial intelligence model capable of tracking a person’s sleep stages using only three ...
China Briefing

China Clarifies Medical Device Classification for Brain-Computer Interfaces: A Guide for Foreign Investors

NMPA's new BCI classification rules set device risk classes, a first regulatory gate for foreign investors in China neurotech.
IEEE

Design of a CNN Accelerator for Multitask EEG Signal Classification Based on RISC-V

Abstract: Electroencephalogram (EEG) has been widely employed in emotion recognition, seizure detection, and brain-computer interface applications. This article presents an elaborated RISC-V-based EEG ...
News-Medical.Net

What Are Brain-Computer Interfaces and How Do They Treat Neurological Disorders?

Precision neurostimulation leverages AI and closed-loop feedback, delivering tailored treatments for neurological disorders ...
Frontiers

Advanced EEG signal classification for neural prosthetic devices using metaheuristic and deep learning techniques

For neural prosthetic devices, accurate classification of high dimensional electroencephalography (EEG) signals is significantly impaired by the existence of redundant and irrelevant features that ...
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 ...
Frontiers

Improving EEG classification of alcoholic and control subjects using DWT-CNN-BiGRU with various noise filtering techniques

Electroencephalogram (EEG) signal analysis plays a vital role in diagnosing and monitoring alcoholism, where accurate classification of individuals into alcoholic and control groups is essential.
IEEE

Transfer Adaptive Dictionary Learning With Intraclass Low-Rank Regularization for EEG Signal Classification

Abstract: Classification of electroencephalogram (EEG) signals holds significant implications for assisting clinical diagnosis, treatment, and monitoring. Nonetheless, this domain encounters several ...
The New York Times

The Leaked Signal Chat, Annotated

On Wednesday, The Atlantic published a fuller look at the contents of the messages in this group chat, including sensitive details about U.S. strikes that experts say almost certainly were highly ...