摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于人工智能的新报告。根据NewsRx记者从中国乌鲁木齐发回的消息，研究表明：“山地”类型的特点是观测资料匮乏，特别是在偏远地区，如昆仑山山区，传统的自动气象站(AWSs)通常不记录地表温度(LST)数据。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Urumqi, People’s Repub lic of China, by NewsRx correspondents, research stated, “Mountainous landtypes are characterized by a scarcity of observational data, particularly in remote a reas such as the KunlunMountains, where conventional Automatic Weather Stations (AWSs) typically do not record land surfacetemperature (LST) data.”
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