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Morning Edition · Saturday, September 19, 2026Published at 2:16 AM EDT · New York
Berkeley Lab Cut Scientific Image Annotation From a Month to 15 Minutes With Meta's Open Vision Models
The SYNAPS-I project runs SAM 3 and DINOv3 across 300 A100 accelerators to segment X-ray and neutron imaging data that national facilities now produce at tens of petabytes a year.
Lawrence Berkeley National Laboratory is using two of Meta's open vision models, SAM 3 and DINOv3, inside SYNAPS-I, a multi-laboratory project under the Department of Energy's Genesis Mission that targets the analysis backlog at X-ray and n…
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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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