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.

Cut through AI jargon with this practical AI glossary. Learn essential AI terms like LLMs, hallucination, tokens, and more in plain English. Understand AI confidently.

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 ...

Abstract: With the rapid advancement of deep learning technologies, the use of computers for processing and analyzing multimodal remote sensing data has attracted significant attention. Joint land ...

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

From detecting pancreatic cancer three years early to recognising 18 tumour types from a handful of tissue slides, AI is transforming medicine. Here is a comprehensive guide to the breakthroughs, the ...

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

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

Advsr AI Spotlight Highlighting notable AI moves at the intersection of strategic operating companies and emerging startups.