# Berkeley Lab Cut Scientific Image Annotation From a Month to 15 Minutes With Meta's Open Vision Models

The SYNAPS-I project runs SAM 3 and DINOv3 across 300 A100 accelerators to segment X-ray and neutron imaging data that national facilities now produce at tens of petabytes a year.

- Published: 2026-09-19T06:16:00.678Z
- Canonical: https://polylog.news/ai/2026-09-19/berkeley-lab-cut-scientific-image-annotation-from-a-month-to
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Meta AI](https://ai.meta.com/blog/genesis-mission-lawrence-berkeley-national-laboratory-segment-anything-dino/), [Berkeley Lab News Center](https://newscenter.lbl.gov/2026/07/22/berkeley-lab-to-lead-13-new-genesis-mission-ai-projects/), [Lawrence Berkeley National Laboratory](https://www.lbl.gov/genesis-mission/)

Lawrence Berkeley National Laboratory is using two of Meta's open vision models, SAM 3 and DINOv3, inside SYNAPS-I, a multi-laboratory project under the Department of Energy's Genesis Mission that targets the analysis backlog at X-ray and n…

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