AZoRobotics on MSN
Combining AI and X-ray physics to overcome tomography data gaps
With PFITRE, Brookhaven scientists achieve breakthrough 3D imaging in nanoscale X-ray tomography, combining AI and physics ...
X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...
Abstract: In seismic data interpretation, accurate delineation of faults is crucial for subsurface hydrocarbon resource exploration and production. Traditional manual interpretation is time-consuming, ...
In this paper, we introduce U-Net v2, a new robust and efficient U-Net variant for medical image segmentation. It aims to augment the infusion of semantic information into low-level features while ...
Lucy Lazarony is an experienced personal finance journalist and writer who got her start in 1998 writing about financial topics. She writes accessible and easy-to-understand articles about credit, ...
1 School of Biomedical Engineering, University of Science and Technology of China 2 Suzhou Institute for Advanced Research, University of Science and Technology of China Over the past decade, U-Net ...
To address the engineering challenge of detecting fine cracks on hybrid wind turbine towers, especially against complex water seepage backgrounds, this study aims to explore optimal image segmentation ...
T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...
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