# Berkeley Lab Cuts Beamline Image Analysis From a Month to Minutes Using Meta's Open Vision Models

The SYNAPS-I project runs Segment Anything 3 and DINOv3 across 300 Nvidia A100 accelerators to segment X-ray and neutron imaging data.

- Published: 2026-08-29T06:21:15.195Z
- Canonical: https://polylog.news/ai/2026-08-29/berkeley-lab-cuts-beamline-image-analysis-from-a-month-to-mi
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Meta AI](https://ai.meta.com/blog/genesis-mission-lawrence-berkeley-national-laboratory-segment-anything-dino/), [Meta AI](https://ai.meta.com/blog/assistive-robotics-university-of-pittsburgh-sam-dino/), [Berkeley Lab](https://newscenter.lbl.gov/2026/07/22/berkeley-lab-to-lead-13-new-genesis-mission-ai-projects/)

Lawrence Berkeley National Laboratory is using two of Meta's open-source vision models inside the United States Department of Energy's Genesis Mission, and the reported speed gain is the notable part. The SYNAPS-I project, which Berkeley La…

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