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: ...

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, ...

Nuttida Rungratsameetaweemana is challenging a story neuroscience has told for decades. According to the conventional account, our eyes collect raw information and relay it through a series of nerves ...

Every animal that has ever been studied closely, from the fruit fly to the philosopher, surrenders each day to a state that ...

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

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 ...