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.
Amazon Alexa on-device AI now runs in millions of Echo homes, but Panos Panay’s July 2026 CNBC interview reveals the split: ...
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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 ...
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 ...
The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, ...
Two-wheeled vehicles with conventional stability-control systems must lean to change direction, making it difficult for rider ...
Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...
Abstract: Stress detection is crucial due to its impact on mental and physical health. This paper proposes a non-invasive method for real-time stress detection using multimodal physiological data, ...
Abstract: Recognizing land use and land cover (LULC) elements in satellite imagery is an important foundational point for environmental tracking applications, as well as urban development and ...
Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
Researchers at the University of California, Los Angeles have developed a compact, cost-effective diagnostic platform ...
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