Morning Edition · Wednesday, October 7, 2026Published at 2:04 AM EDT · New York
Berkeley Lab says Segment Anything Model 3 and DINOv3 cut beamline image analysis from a month of expert labeling to 15 minutes, and a University of Pittsburgh robot uses the same models on battery-powered hardware.

Meta has published two deployment accounts for its open vision models. The common thread is that labs and robot builders are using promptable, label-free perception in place of custom-trained segmenters. At Lawrence Berkeley National Labora…
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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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