摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx记者在犹他州盐湖城的新闻报道，研究表明：“季节性雪源水是山区和下游地区供水的重要组成部分，以雪水形式准确描述可利用水的特征-(SWE)，峰值SWE，结合人工智能(AI)和机器学习(ML)的最新进展，我们引入了一个利用现有数据来源和开源软件的大规模ML SWE模型。这项研究的资助者包括合作研究所通过美国阿拉巴马大学NOAA合作社在水文方面运作(CIROH)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting originating in Salt Lake City, Utah, by NewsRx journalists, research stated, "Seasonal snow -derived water is a crit ical component of the water supply in the mountains and downstream regions, and the accurate characterization of available water in the form of snow -water -equ ivalent (SWE), peak SWE, and snowmelt onset are essential inputs for water manag ement efforts. Arising from recent advancements in artificial intelligence (AI) and machine learning (ML), we introduce a large-scale ML SWE model leveraging pu blicly available data sources and open -source software." Funders for this research include Cooperative Institute for Research to Operatio ns in Hydrology (CIROH) through the NOAA Cooperative, University of Alabama, Uni ted States.
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