Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
Google today announced Nano Banana 2 Lite and preview availability of Gemini Omni Flash, as well as NotebookLM Short Video ...
Abstract: With the rapid development of convolutional neural networks in image processing, deep learning has been widely applied to medical image segmentation tasks, including liver, retinal vessels, ...
Un-0 is an image-generation model built on Kuramoto dynamics: it generates an image by integrating the phase dynamics of a population of coupled oscillators — no diffusion schedule, no adversary, no ...
Abstract: With the growing number of images generated daily in radiological practices and the digitization of historical studies, we face large databases where metadata can be incomplete or incorrect.
Q.ANT successfully demonstrated a diffusion model and a recurrent neural network on its second-generation Native Processing Unit (NPU) at ISC High Performance 2026 in Hamburg. This proves that Q.ANT’s ...
Rich and accurate medical image segmentation is poised to underpin the next generation of AI-defined clinical practice by delineating critical anatomy for pre-operative planning, guiding real-time ...
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