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.

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

Abstract: The advent of Deep Learning methodologies has revolutionized the field of medical image analysis, particularly in skin lesion diagnosis and classification. This paper proposes an explorative ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

Abstract: Accurate fine-grained geospatial scene classification using remote sensing imagery is essential for a wide range of applications. However, existing approaches often rely on manually zooming ...