# Berkeley Lab cut beamline image analysis from months to about 15 minutes using Meta's open-weight vision models

The five-laboratory SYNAPS-I pipeline runs Segment Anything Model 3 and DINOv3 on 300 Nvidia A100 GPUs, and the same two models sit inside a University of Pittsburgh assistive robotics platform funded with up to $41.5 million.

- Published: 2026-10-26T06:26:37.653Z
- Canonical: https://polylog.news/ai/2026-10-26/berkeley-lab-cut-beamline-image-analysis-from-months-to-abou
- 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 (assistive robotics)](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), [Open Source For U](https://www.opensourceforu.com/2026/07/meta-open-weight-ai-cuts-science-analysis-to-15-minutes/)

Lawrence Berkeley National Laboratory is leading SYNAPS-I, a multi-laboratory effort with Argonne, Brookhaven, Oak Ridge and SLAC to make X-ray and neutron science data analysis run in near real time instead of over months, Meta reported. T…

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