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Morning Edition · Monday, October 5, 2026Published at 2:00 AM EDT · New York
Department of Energy labs run Meta's SAM 3 and DINOv3 on 300 A100s to cut beamline image segmentation from a month to about 15 minutes
The SYNAPS-I project, led by Lawrence Berkeley National Laboratory under the Department of Energy's Genesis Mission, fine-tunes Meta's open vision models for detectors that now capture 100,000 images per second.
The Department of Energy (DOE) runs light and neutron sources that now produce tens of petabytes of data a year. DOE's laboratories are using Meta's open vision models to process that data. Meta reports that Segment Anything Model 3 (SAM 3)…
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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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