{"id":8036,"date":"2024-04-16T09:33:31","date_gmt":"2024-04-16T01:33:31","guid":{"rendered":"https:\/\/www.1ai.net\/?p=8036"},"modified":"2024-04-16T09:33:31","modified_gmt":"2024-04-16T01:33:31","slug":"%e5%a4%a7%e6%a8%a1%e5%9e%8b%e9%a6%96%e6%ac%a1%e6%8e%a5%e5%85%a5%e5%a4%a9%e6%96%87%e6%9c%9b%e8%bf%9c%e9%95%9c%ef%bc%9a%e6%98%9f%e8%af%ad-3-0%e5%8f%91%e5%b8%83%ef%bc%8c%e5%9f%ba","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/8036.html","title":{"rendered":"The large model is connected to the astronomical telescope for the first time: &quot;Star Language 3.0&quot; is released, based on Alitong Yiqianwen"},"content":{"rendered":"<p data-vmark=\"8bfd\">On April 14, the Artificial Intelligence Working Group of the National Astronomical Observatory of the Chinese Academy of Sciences released a new generation of astronomical<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%a4%a7%e6%a8%a1%e5%9e%8b\" title=\"[View articles tagged with [large models]]\" target=\"_blank\" >Large Model<\/a> \u2014\u2014\u201cStar Language 3.0\u201d.<\/p>\n<p data-vmark=\"d879\">&quot;Xingyu 3.0&quot; is based on Alibaba Cloud<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e9%80%9a%e4%b9%89%e5%8d%83%e9%97%ae\" title=\"[View articles tagged with [Tongyi Thousand Questions]]\" target=\"_blank\" >Thousand Questions on Tongyi<\/a>Open source model building,<span class=\"accentTextColor\">It has been successfully connected to the telescope array of Xinglong Observatory of the National Astronomical Observatory - Mini &quot;Sitian&quot;<\/span>.<\/p>\n<p data-vmark=\"3ba3\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-8037\" title=\"7238fbf3-88c6-459b-baba-729b243bf054\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/04\/7238fbf3-88c6-459b-baba-729b243bf054.jpg\" alt=\"7238fbf3-88c6-459b-baba-729b243bf054\" width=\"1080\" height=\"1920\" \/><\/p>\n<p data-vmark=\"4e36\">It is reported that with the increasing number of telescopes, how to control large telescope arrays has become a common challenge faced by the astronomical community today.<\/p>\n<p data-vmark=\"9e0b\"><span class=\"accentTextColor\">In the past, astronomical observations mainly relied on the cooperation of observation assistants and scientific researchers.<\/span>Researchers often need to modify their observation plans based on the weather conditions at the observation site, wait for data to be returned in the observation room, analyze the data in real time, and then modify the observation plan based on the results. Every link of important observation targets requires manual participation, which is inefficient and difficult to control multiple telescopes at the same time.<\/p>\n<p data-vmark=\"36af\">&quot;Xingyu 3.0&quot; attempts to solve this problem and completes training based on over 300,000 expert-corrected data. Currently, &quot;Xingyu 3.0&quot; has been successfully connected to the telescope array of the National Astronomical Observatory&#039;s Xinglong Observatory - Mini &quot;Sitian&quot;.<span class=\"accentTextColor\">It can autonomously control the telescope to observe, analyze the observation results, and intelligently give suggestions for the next observation.<\/span>.<\/p>\n<p data-vmark=\"8873\">For example, when receiving the task of &quot;observing a certain celestial body&quot;, &quot;Star Language 3.0&quot; will first query the coordinate information of the celestial body and feedback it to the observer; when confirmed, &quot;Star Language 3.0&quot; will automatically observe according to the plan entered by the observer; after a single exposure is completed, the large model will recycle and process the data, judge the observation value of the target source based on the results, and recommend the next observation plan.<\/p>\n<p data-vmark=\"3bb9\">future,<span class=\"accentTextColor\">The Star Language model will be connected to the National Astronomical Observatory&#039;s large telescope array &quot;Sitian&quot;<\/span>(IT Home Note: Mini &quot;Sitian&quot; is a part of &quot;Sitian&quot;).<\/p>\n<p data-vmark=\"7efc\">&quot;SiTian&quot; is a major national astronomical infrastructure project proposed by Chinese astronomers for time-domain astronomy. By 2030, the number of meter-class telescopes is expected to reach 72.<span class=\"accentTextColor\">Produces approximately 140 TB of processed data every night, making it the most efficient sky survey project in the world<\/span>The access to the Star Language Large Model frees researchers from tedious observations and allows them to focus more on research.<\/p>","protected":false},"excerpt":{"rendered":"<p>On April 14, the Artificial Intelligence Working Group of the National Astronomical Observatory of the Chinese Academy of Sciences (NAOC) released a new-generation astronomical model, \"Star Language 3.0\". \"Star Language 3.0\" is based on the open-source model of AliCloud Tongyi Qianqian, which has been successfully connected to the telescope array of Xinglong Observatory of the National Astronomical Observatory -- Mini \"Sitian\". According to reports, with the increasing number of telescopes, how to control large telescope arrays has become a common challenge faced by today's astronomical community. In the past, astronomical observations relied mainly on the cooperation of observing assistants and researchers. Researchers often needed to modify the observation plan according to the meteorological conditions of the observation site, wait for the return of data in the observation room and analyze the data in real time, and then modify the observation plan according to the results. It is inefficient and difficult to simultaneously<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[216,2233,331],"collection":[],"class_list":["post-8036","post","type-post","status-publish","format-standard","hentry","category-news","tag-216","tag-2233","tag-331"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/8036","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=8036"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/8036\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=8036"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=8036"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=8036"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=8036"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}