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 ...
Abstract: Individual tree segmentation using very high-resolution (VHR) remote sensing images can provide an unprecedentedly fine insight into forest status and changes at a large scale, attracting ...
Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...
Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...
Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
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.
Empowering ASEAN & global businesses to make sound data-driven decisions while ensuring privacy and complianceKUALA LUMPUR, Malaysia, Feb. 10, 2026 /PRNewswire/ -- Athenatech AI Sdn Berhad (athenatech ...
The global smart cities market, driven by rapid urbanization, AI, and IoT integration, is experiencing massive growth. Key ...
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