Union (U)
Session Sub-category Union
Session ID U-13
Title Future of Earth and Planetary Sciences Boosted by Artificial Intelligence
Short Title Earth and Planetary Sciences with AI
Main Convener Name Hiromichi Nagao
Affiliation Earthquake Research Institute, The University of Tokyo
Co-Convener 1 Name Yukihiro Takahashi
Affiliation Department of Cosmosciences, Graduate School of Science, Hokkaido University
Co-Convener 2 Name Yusuke Iida
Affiliation Niigata University
Co-Convener 3 Name Masuo Nakano
Affiliation Japan Agency for Marine-Earth Science and Technology
Session Language 
J
Scope 
The current third artificial intelligence (AI) boom that began at the beginning of the 21st century is still going strong, owing to the generalization of hardware such as GPU computers and the establishment of software such as machine learning libraries. AI technology has been actively used in various fields of earth and planetary sciences, where large-scale simulations and large amounts of data are the basis of studies. Since a number of big projects based on collaboration with AI experts are being conducted, the integration of AI and earth and planetary sciences has now formed one of the fields in earth and planetary sciences.
In collaboration with the Japanese Society for Artificial Intelligence, this session consists of invited talks by leading AI researchers and earth and planetary scientists using AI technology, and provides an interdisciplinary discussion on the current status and future vision of AI research in earth and planetary sciences.
Presentation Format Oral and Poster presentation
Invited Authors Masashi Sugiyama (RIKEN/The University of Tokyo)
Ryuho Kataoka (National Institute of Polar Research)
Noriko N Ishizaki (National Institute for Environmental Studies)
Takahiko Uchide (Research Institute of Earthquake and Volcano Geology, Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST))
Time Presentation No Title Presenter
Oral Presentation May 25 AM2
10:45 - 11:15 U13-01 Machine Learning from Imperfect Supervision Masashi Sugiyama
11:15 - 11:35 U13-02 AI emulator and data assimilation of auroral current system Ryuho Kataoka
11:35 - 11:55 U13-03 AI technology to boost climate change adaptation Noriko N Ishizaki
11:55 - 12:15 U13-04 Development of Seismological Studies enhanced by AI Takahiko Uchide