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Morning Edition · Sunday, November 8, 2026Published at 1:30 AM EST · New York
National labs and a $41 million robotics program fine-tune Meta's SAM 3 and DINOv3 on their own hardware
Berkeley Lab's SYNAPS-I pipeline reportedly cut one beamline segmentation job from about a month of expert work to roughly 15 minutes, a figure that comes from secondary coverage of Meta's account.
Lawrence Berkeley National Laboratory leads SYNAPS-I, an early project under the Department of Energy's (DOE) Genesis Mission, with Argonne, Brookhaven, Oak Ridge and SLAC. Its segmentation pipeline is built on Meta's SAM 3 and DINOv3. SAM…
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Part of a tracked trend
Open-Weight Vision Models Move Into National Lab Beamlines and Assistive Robotics
Fine-tunable open-weight perception models keep displacing expert annotation and custom vision stacks in government science and assistive robotics, where data must stay on the operator's own infrastructure.
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