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.

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

The frequent back and forth about which AI is better can make companies wonder how to choose an AI model for their business.

Struggling with AI hallucinations? Discover practical strategies to improve accuracy, verify outputs, and optimize your prompts to ensure your AI delivers reliable ...

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...

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

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

A sunspot group carrying a delta magnetic configuration, the most complex and energetically dangerous class that solar ...

A research paper authored by a team from the Indian Institute of Science (IISC) Bengaluru reached the finals of the CVPR 2026 event in Colorado, USA, held earlier this month. The annual conference on ...

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

Classiq and Pontificia Universidad Católica de Chile (UC Chile) have announced a joint research project to develop hybrid quantum algorithms for biomedical image analysis – assisted by classical ...