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.

The Decision & Action Layer translates fused predictions into concrete actions. The Decision Engine performs inference, ...

Drivers crossing central Arizona during monsoon season now face a measurable way to gauge how dangerous a dust storm actually ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

New defense software combines thermal imaging and smart perception to spot and track ground threats with fewer false alarms.

An analysis of projects and local opposition highlights the growing tensions surrounding AI infrastructure in rural ...

Prism Ground ISR, an AI-powered software stack that improves military target detection, tracking, ground ISR operations.

Abstract: Hyperspectral image classification in open environments remains challenging because models must accurately recognize known categories while reliably identifying samples from previously ...

Researchers at the University of California, Los Angeles have developed a compact, cost-effective diagnostic platform ...

Abstract: Sequence classification is a fundamental research issue in data mining and machine learning. However, existing sequence classification methods primarily focus on improving the prediction ...

Audiences today have access to more TV content and platforms than ever before. This fragmentation has made it harder than ever to find viewers, with the right ads and content, at the right time. By ...