Meta's AI Models Are Powering the First Wave of Genesis Mission Projects
4 hours ago
- Lawrence Berkeley National Laboratory’s Advanced Light Source (ALS) produces tens of petabytes of data annually, overwhelming traditional manual analysis due to upgraded detectors capturing up to 100,000 images per second.
- The Genesis Mission, a White House initiative led by DOE, launched SYNAPS-I to use AI for real-time data analysis across X-ray and neutron science, focusing on image segmentation.
- SYNAPS-I uses Meta’s open-source SAM 3 and DINOv3 models, fine-tuned on scientific data and deployed on 300 A100 GPUs, to segment 3D volumes in about 15 minutes.
- The pipeline was demonstrated on grapevine drought response, reducing segmentation time from a month per time step to 15 minutes, enabling real-time study of biological processes.
- Meta’s open-source models allow secure deployment on government infrastructure, adapting general AI to scientific domains, and SYNAPS-I aims to create intelligent discovery platforms at national labs.