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AI model identifies where snoring starts in the airway

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.
Scientific Research Publishing

From Prediction to Action: An Agentic AI Framework for Workforce Substitution and Risk-Aware Automation Decisions ()

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

Hyperspectral Image Classification Method Based on Fusion Network

Abstract: As traditional classification methods are difficult to model the complex non-linear relationships in hyperspectral data, it is also difficult to capture local details (e.g., texture, edges) ...
Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

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

Multimodal Fusion Mamba Network for Joint Land Cover Classification Using Hyperspectral and LiDAR Data

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 ...
Governing

What a National Map Reveals About Rural Data Centers

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

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...