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New AI model revolutionizes medical imaging with 90% less computing power

Rice University’s MetaSeg matches U-Net accuracy using 90% fewer parameters, making AI medical image segmentation faster, ...
VentureBeat

Google open-sources AI image segmentation models optimized for Cloud TPUs

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google’s custom tensor processing unit (TPU) chips, the latest generation ...
Simon Fraser University

Random Walks for Image Segmentation

This paper presents a novel multi-label and interactive image segmentation algorithm that draws analogies to electric network circuits solutions from electrical engineering. Treating the image as a ...
Silicon Semiconductor

ZEISS Microscopy spotlights Advanced Failure Analysis Technologies at ISTFA

ZEISS to sponsor, exhibit and present at 51st ISTFA conference. ZEISS Microscopy will once again make a strong showing at the ...