# Meta's SAM 3 and DINOv3 run inside Energy Department beamline analysis and a robotic wheelchair project

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.

- Published: 2026-11-10T06:14:13.273Z
- Canonical: https://polylog.news/ai/2026-11-10/meta-s-sam-3-and-dinov3-run-inside-energy-department-beamlin
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Meta AI: Genesis Mission](https://ai.meta.com/blog/genesis-mission-lawrence-berkeley-national-laboratory-segment-anything-dino/), [Meta AI: University of Pittsburgh](https://ai.meta.com/blog/assistive-robotics-university-of-pittsburgh-sam-dino/), [AI Weekly](https://aiweekly.co/alerts/metas-sam-3-and-dinov3-power-doe-genesis-mission-pipeline), [University of Pittsburgh](https://www.medschool.pitt.edu/news/university-pittsburgh-lead-team-415m-project-create-robotic-wheelchair)

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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