A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.

Abstract: Brain tumor classification is a crucial task to evaluate the tumors and make a treatment decision according to their classes. There are many imaging techniques used to detect brain tumors.

An artificial intelligence (AI)-based wearable patch capable of autonomously analyzing not only biosignals such as ...

Amazon Alexa on-device AI now runs in millions of Echo homes, but Panos Panay’s July 2026 CNBC interview reveals the split: ...

Two-wheeled vehicles with conventional stability-control systems must lean to change direction, making it difficult for rider ...

A new control system uses machine learning to distinguish intentional turns from instability and provide stabilisation ...

NIMHANS launches India's first public sleep database for stroke patients, enhancing research on sleep disorders and ...

Abstract: Intrusion detection plays an important role in ensuring information security, and the key technology is to accurately identify various attacks in the network. In this paper, we explore how ...

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

Single neurons in mouse sensorimotor cortex are organized by their activity features into distinct subpopulations with area-spanning footprints whose boundaries align closely with anatomical and ...

Tesla FSD Hardware 3 owners received FSD v14 Lite on June 29, ending a 16-month freeze for roughly 4 million vehicles. The ...

German brawler director Uwe Boll — about Elon Musk's call, the migration crisis in Europe and 20 bucks from Jason Statham ...