主要研究 researchers are exploring the magnetosphere, a giant magnetic bubble that surrounds the Earth. 来源:美国国家航空航天局
机器学习能, 人工智能的应用, help us understand and predict potentially destructive solar weather?
这就是 耶利米约翰逊, associate professor of applied engineering and sciences at 主要研究-Manchester, 希望用两笔新的补助金来学习.
Johnson is leading NASA and National Science Foundation-funded grants totaling more than $700,000 that explore the use of machine learning to enhance our understanding of processes of the magnetosphere, 地球周围的磁场.
He’ll collaborate with 主要研究 Space Science Center researchers 艾米Keessee他是物理学和天文学副教授 詹姆斯Clemmons, 物理学教授, 577美元,698 National Science Foundation grant to better predict geomagnetically induced currents. 153美元,来自美国国家航空航天局, he and collaborator Doga Ozturk at the University of Alaska-Fairbanks will aim to identify when and why bead aurora and omega bands occur.
“Geomagnetically induced currents originate with solar weather and can be incredibly destructive,约翰逊说, noting that a severe solar storm could have a major effect on the technology we all rely upon.
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写的:
贝斯保梯 | 主要研究营销 | 贝丝.potier@datastreamusa.net | 2-1566
