Meta模型助力SYNAPS-I将科学图像分析从数月缩短至15分钟
原标题：Lawrence Berkeley National Laboratory — one of the US Department of Energy's premier research laboratories, known for Nobel Prize-winning work in physics, chemistry, and materials science — operates s
AI 摘要
美国劳伦斯伯克利国家实验室领导的SYNAPS-I项目，利用Meta开源的SAM 3和DINOv3模型，在DOE光源设施上实现了科学图像分割的自动化，将数据处理时间从数月缩短至15分钟。该项目是白宫Genesis Mission的一部分，旨在加速科学发现，并已在葡萄干旱响应研究中展示应用。
正文节选
Lawrence Berkeley National Laboratory — one of the US Department of Energy's premier research laboratories, known for Nobel Prize-winning work in physics, chemistry, and materials science — operates some of the most advanced scientific facilities on the planet. Among them is the Advanced Light Source (ALS), a football field-sized facility that produces intensely bright beams of X-ray light, allowing researchers to study materials from the atomic and molecular scale all the way to plants. The ALS