# Open-Weight Vision Models Move Into National Lab Beamlines and Assistive Robotics

A Berkeley Lab-led project using Meta's Segment Anything 3 and DINOv3 cut per-time-step image annotation from about a month of expert work to roughly 15 minutes on 300 A100 GPUs.

- Published: 2026-10-03T06:33:24.401Z
- Canonical: https://polylog.news/ai/2026-10-03/open-weight-vision-models-move-into-national-lab-beamlines-a
- 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/), [HPCwire](https://www.hpcwire.com/off-the-wire/berkeley-lab-to-lead-13-new-genesis-mission-ai-projects/)

Meta has detailed how its open-weight perception models are being used inside the US Department of Energy's Genesis Mission. The flagship case is SYNAPS-I, a multi-laboratory project led by Berkeley Lab with Argonne, Brookhaven, Oak Ridge,…

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