科学家提出AI挑战,利用一项重大新天空调查的模拟数据寻找黑洞恒星碰撞。 Scientists launch AI challenge to find black hole-star collisions using simulated data from a major new sky survey.

来自女王大学贝尔法斯特和莱顿天文台的科学家正在利用即将在智利韦拉C Rubin天文台进行的空间和时间遗产调查的模拟数据,发起一项公共挑战,以识别被黑洞撕裂的被称为潮汐干扰事件的恒星。 Scientists from Queen’s University Belfast and Leiden Observatory are launching a public challenge to identify stars torn apart by black holes, known as tidal disruption events, using simulated data from the upcoming Legacy Survey of Space and Time at the Vera C Rubin Observatory in Chile. 随着这项调查预计每晚会产生大约1000万个天空警报, 研究人员正在转向人工智能和机器学习来分析大量数据. With the survey expected to generate around 10 million sky alerts each night, researchers are turning to artificial intelligence and machine learning to analyze the massive data flood. 该项目以Kaggle为东道主,邀请拥有人工智能或机器学习经验的技术人员,帮助开发能发现这些罕见事件的工具,提供1 000欧元最高奖项。 The project, hosted on Kaggle, invites tech-savvy individuals with AI or machine learning experience to help develop tools that can detect these rare events, offering a 1,000 euro top prize. 不需要正规的天文学专门知识,该倡议的目的是在大数据天文学时代改进探测方法和加深对黑洞行为的了解。 No formal astronomy expertise is required, and the initiative aims to improve detection methods and deepen understanding of black hole behavior in the era of big data astronomy.