AI to the rescue: how to enhance disaster early warnings with tech tools

IF 50.5 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Nature Pub Date : 2024-10-01 DOI:10.1038/d41586-024-03149-z
Monique M. Kuglitsch, Jon Cox, Jürg Luterbacher, Bilel Jamoussi, Elena Xoplaki, Muralee Thummarukudy, Golestan Sally Radwan, Soichiro Yasukawa, Shanna N. McClain, Rustem Arif Albayrak, David Oehmen, Thomas Ward
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Abstract

Artificial intelligence can help to reduce the impacts of natural hazards, but robust international standards are needed to ensure best practice.
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人工智能救援:如何利用技术工具加强灾害预警
人工智能有助于减少自然灾害的影响,但需要强有力的国际标准来确保最佳做法。
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来源期刊
Nature
Nature 综合性期刊-综合性期刊
CiteScore
90.00
自引率
1.20%
发文量
3652
审稿时长
3 months
期刊介绍: Nature is a prestigious international journal that publishes peer-reviewed research in various scientific and technological fields. The selection of articles is based on criteria such as originality, importance, interdisciplinary relevance, timeliness, accessibility, elegance, and surprising conclusions. In addition to showcasing significant scientific advances, Nature delivers rapid, authoritative, insightful news, and interpretation of current and upcoming trends impacting science, scientists, and the broader public. The journal serves a dual purpose: firstly, to promptly share noteworthy scientific advances and foster discussions among scientists, and secondly, to ensure the swift dissemination of scientific results globally, emphasizing their significance for knowledge, culture, and daily life.
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