Japan Geoscience Union Meeting 2022

Session information

[J] Oral

S (Solid Earth Sciences ) » S-CG Complex & General

[S-CG51] Driving Solid Earth Science through Machine Learning

Sun. May 22, 2022 10:45 AM - 12:15 PM 102 (International Conference Hall, Makuhari Messe)

convener:Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience), convener:Yuki Kodera(Meteorological Research Institute, Japan Meteorological Agency), Makoto Naoi(Kyoto University), convener:Keisuke Yano(The Institute of Statistical Mathematics), Chairperson:Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience), Tomohisa Okazaki(RIKEN Center for Advanced Intelligence Project), Makoto Naoi(Kyoto University)

Machine learning (ML) has brought innovations and remarkable results in various science fields including solid earth science. This session provides an opportunity to inspire each other for future developments by bringing studies of ML applications in various fields including solid earth science. We especially welcome studies that have led to the discovery of phenomena and theories in solid earth science. We also look forward to studies on the black box problem of AI and efforts toward explainable AI.

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