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Vision-language models gain spatial reasoning skills through artificial worlds and 3D scene descriptions
Vision-language models (VLMs) are advanced computational techniques designed to process both images and written texts, making predictions accordingly. Among other things, these models could be used to ...
Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...
Jasmine Plummer shares the spatial omics techniques she has developed to investigate the cellular processes underlying ...
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