Morning Edition · Tuesday, November 10, 2026Published at 1:14 AM EST · New York
Meta says Berkeley Lab cut a grapevine micro-computed tomography segmentation task from about a month of expert work to about 15 minutes, and a University of Pittsburgh team is adapting the same models to run on the wheelchair itself.

Meta is featuring two deployments of its open-weight vision models outside its own products. In the first, Lawrence Berkeley National Laboratory uses Segment Anything Model 3 (SAM 3) and DINOv3 as the core of the segmentation pipeline for S…
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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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