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Morning Edition · Tuesday, September 1, 2026Published at 2:29 AM EDT · New York
Berkeley Lab Runs Meta's Segmentation Models Across 300 GPUs to Cut Imaging Analysis to Minutes
The same SAM and DINO pipeline underpins a University of Pittsburgh assistive robotics system that does real-time 360-degree object detection.
Lawrence Berkeley National Laboratory is running Meta's SAM 3 and DINOv3 models across 300 Nvidia A100 GPUs to analyze X-ray and neutron imaging data in about 15 minutes, work Meta describes as part of SYNAPS-I, a multi-laboratory project l…
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Part of a tracked trend
Open-Vocabulary, Promptable Vision Foundation Models
Vision foundation models shift to text-promptable, open-vocabulary detection, segmentation, and real-time tracking of arbitrary concepts, generalizing perception beyond fixed label sets across images and video and pushing open perception models toward production use.
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