PreprintCC BY 4.0arXiv
Future of Artificial Intelligence for Science in Japan 2024 Community Report
Abstract
This white paper summarizes scientific challenges and AI/ML research opportunities identified through the FAIRS Japan 2024 unconference process. The discussion focuses on three major physics domains: accelerator physics, cosmology and astrophysics, and neutrino physics. Although each domain has distinct scientific goals and experimental constraints, several common technical themes emerge: high-dimensional reconstruction, fast and accurate simulation, uncertainty propagation, simulation-to-data mismatch, anomaly detection, real-time decision-making, and shared infrastructure.
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BibTeX
@misc{itow2026future,
title = {{Future of Artificial Intelligence for Science in Japan 2024 Community Report}},
author = {Yoshitaka Itow and Jia Liu and Hirokazu Maesaka and Vinicius Mikuni and Nhat-Minh Nguyen and Hironao Miyatake and Atsushi J. Nishizawa and Patrick de Perio and Daniel Ratner and Kazuhiro Terao and Leander Thiele and Omar Alterkait and Francois Drielsma and Rocio Garcia and Masako Iwasaki and Ahsani Hafizhu Shali and Federica Tarsitano and Takahiro Terada and Junjie Xia},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2608.27807},
eprint = {2608.27807},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2608.27807},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Future of Artificial Intelligence for Science in Japan 2024 Community Report
AU - Yoshitaka Itow
AU - Jia Liu
AU - Hirokazu Maesaka
AU - Vinicius Mikuni
AU - Nhat-Minh Nguyen
AU - Hironao Miyatake
AU - Atsushi J. Nishizawa
AU - Patrick de Perio
AU - Daniel Ratner
AU - Kazuhiro Terao
AU - Leander Thiele
AU - Omar Alterkait
AU - Francois Drielsma
AU - Rocio Garcia
AU - Masako Iwasaki
AU - Ahsani Hafizhu Shali
AU - Federica Tarsitano
AU - Takahiro Terada
AU - Junjie Xia
PY - 2026
DA - 2026/09/18
PB - arXiv
DO - 10.48550/arxiv.2608.27807
UR - https://arxiv.org/abs/2608.27807
AB - This white paper summarizes scientific challenges and AI/ML research opportunities identified through the FAIRS Japan 2024 unconference process. The discussion focuses on three major physics domains: accelerator physics, cosmology and astrophysics, and neutrino physics. Although each domain has distinct scientific goals and experimental constraints, several common technical themes emerge: high-dimensional reconstruction, fast and accurate simulation, uncertainty propagation, simulation-to-data mismatch, anomaly detection, real-time decision-making, and shared infrastructure.
ER -