AI分析了哈勃数据 在几天内发现1300个不寻常的宇宙物体 AI analyzed Hubble data, finding 1,300 unusual cosmic objects in days.

使用名为AnomalyMatch的AI工具的天文学家在哈勃空间望远镜数据中发现了1,300多个不寻常的宇宙天体,其中800多个天体以前从未记录在案。 Astronomers using an AI tool called AnomalyMatch have discovered over 1,300 unusual cosmic objects in Hubble Space Telescope data, including more than 800 never before documented. AI分析了哈勃遗产档案馆近1亿个图像切除图,发现了一些罕见的现象,如星系合并、引力透镜、水母星系和气尾以及不可分类的结构。 The AI analyzed nearly 100 million image cutouts from the Hubble Legacy Archive, identifying rare phenomena such as merging galaxies, gravitational lenses, jellyfish galaxies with gas tails, and unclassifiable structures. 该系统经过培训,通过机器学习发现异常现象,在短短两天半的时间里完成了扫描,比人类审查快得多。 The system, trained to detect anomalies through machine learning, completed the scan in just two and a half days—far faster than human review. 这些结果发表在天文和天体物理学上,表明AI如何在巨大的科学数据集中发现隐藏的洞察力,为即将到来的望远镜的数据中类似的发现铺平道路。 The findings, published in Astronomy & Astrophysics, show how AI can uncover hidden insights in vast scientific datasets, paving the way for similar discoveries in data from upcoming telescopes.