Anthropic 的 Claude Science 绘制出首张完整紫外线全天图
Anthropic's Claude Science creates the first complete ultraviolet map of the sky
- 1Claude Science 用多个 AI 智能体协作，绘制出首张完整紫外线全天图
- 2智能体从多个太空任务下载数据，校准合并，并用 inpainting 补全缺失区域
- 3臭氧层阻挡紫外线，此前 NASA GALEX 仅覆盖约三分之二天区并跳过明亮恒星形成区
- 4测试中补全预测与实际测量平均偏差约 10%（官方口径），地图将用作教学材料
项目重点不是天文发现本身，而是演示 AI 智能体能接手研究者一直没空做的数据整编类工作。
- 影响：因人手不足被搁置的数据整理类项目可能重新变得可行；本例约 10% 的平均偏差提示这类产出要先核对再当作权威数据；过程与数字均出自官方自述，暂无独立评测参照。
- 参考：可考虑盘点内部因缺人长期搁置的数据整合与清洗清单，挑数据来源明确、结果可抽样核对的一个场景先试；值得为智能体产出预设抽检和验收标准。
- 依据：过程、精度与用途均来自 Anthropic 网站上 Brice Ménard 的自述，属官方口径，暂无独立验证；10% 为该自述中的测试平均偏差。
Anthropic's Claude Science just mapped the entire sky in ultraviolet light for the first time. The project is supposed to show how AI can take over tedious data work that researchers would otherwise never get around to. Johns Hopkins astrophysicist Brice Ménard describes the process on the Anthropic website.
UV light reveals dust lit up by starlight, things like clouds around young stars or rings left behind by stellar explosions. A complete UV map didn't exist until now because the ozone layer blocks UV light, so it can only be measured from space. NASA's GALEX mission covered about two-thirds of the sky but skipped bright star-forming regions.
Claude Science coordinates AI agents that downloaded data from multiple space missions, calibrated it, and merged it together. They filled missing areas using inpainting, a technique where a model learns from existing data to reconstruct gaps. In tests, predictions averaged about ten percent deviation from actual measurements.
The map is meant to serve as teaching material. Ménard suspects many scientists have been putting off similar projects that AI could now make possible.
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来源：The Decoder：AI News · the-decoder.com