Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...
Artificial intelligence (AI) is increasingly reshaping medical imaging, yet its progress depends heavily on the availability of reliable, well-curated data.
Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.
Global higher education market is witnessing robust growth, driven by rising demand for digital learning, EdTech adoption, increasing international student enrollment, expansion of online and hybrid ...
Abstract: Intelligent seismic facies segmentation has recently gained significant attention, particularly with the application of deep learning technologies. However, existing methods face ...
An ocean-mining company has funded some of the most comprehensive scientific studies of the deep seabed to date, and peer-reviewed results have begun to emerge. A collage of foraminifera, a kind of ...
Introduction: Deep learning-based automated segmentation has significantly improved the efficiency and accuracy of human medicine applications. However, veterinary applications, particularly canine ...
This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a ...
Pathophysiology Department, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China Tianjian Laboratory of Advanced Biomedical Sciences, Zhengzhou University, Zhengzhou, Henan ...
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