人工智能与地球科学界互利合作

IF 15.7 1区地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY

Nature Geoscience Pub Date : 2024-10-09 DOI:10.1038/s41561-024-01550-x

Min Chen, Zhen Qian, Niklas Boers, Felix Creutzig, Gustau Camps-Valls, Klaus Hubacek, Christophe Claramunt, John P. Wilson, Stefano Nativi, Anthony J. Jakeman, R. Dietmar Müller, Michael Batty, Chenghu Zhou, Fahu Chen, Qiao Wang, Fan Zhang, C. Michael Barton, Josef Strobl, Michael Meadows, Carlo Ratti, Philipp Hess, Qingsong Xu, Zhixin Zhang, Qiushi Gu, A-Xing Zhu, Hui Lin, Linwang Yuan, Guonian Lü

引用次数: 0

摘要

人工智能正在迅速融入地球科学，但地球科学如何使人工智能受益却一直被忽视。我们呼吁两个学科之间相互平衡，加强跨学科合作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Collaboration between artificial intelligence and Earth science communities for mutual benefit

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Collaboration between artificial intelligence and Earth science communities for mutual benefit

Artificial intelligence is rapidly being integrated into Earth science, but how Earth science may benefit artificial intelligence has been overlooked. We call for mutual balancing between the two disciplines and improving cross-disciplinary collaboration.

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来源期刊

Nature Geoscience 地学-地球科学综合

CiteScore

26.70

自引率

1.60%

发文量

187

审稿时长

3.3 months

期刊介绍： Nature Geoscience is a monthly interdisciplinary journal that gathers top-tier research spanning Earth Sciences and related fields. The journal covers all geoscience disciplines, including fieldwork, modeling, and theoretical studies. Topics include atmospheric science, biogeochemistry, climate science, geobiology, geochemistry, geoinformatics, remote sensing, geology, geomagnetism, paleomagnetism, geomorphology, geophysics, glaciology, hydrology, limnology, mineralogy, oceanography, paleontology, paleoclimatology, paleoceanography, petrology, planetary science, seismology, space physics, tectonics, and volcanology. Nature Geoscience upholds its commitment to publishing significant, high-quality Earth Sciences research through fair, rapid, and rigorous peer review, overseen by a team of full-time professional editors.