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AI for Science Platform Division
AI Development Computing Environment Operation Technologies Unit
AI Development Computing Environment Operation Technologies Unit
Japanese
Unit Leader Shin'ichi Miura
shinichi.miura[at]riken.jp (Lab location: Kobe)- Please change [at] to @
- 2024
- Unit Leader, AI Development Computing Environment Operation Technologies Unit, AI for Science Platform Division, R-CCS, RIKEN (-present)
- 2023
- Unit Leader, Quantum-HPC Hybrid Platform Operations Unit, Quantum-HPC Hybrid Platform Division, R-CCS (-present)
- 2022
- Unit Leader, Facility Operations and Development Unit, Operations and Computer Technologies Division, R-CCS, RIKEN (- present)
- 2020
- Technical Scientist, Advanced Operation Technologies Unit, Operations and Computer Technologies Division, R-CCS, RIKEN
- 2018
- Visiting Researcher, R-CCS, RIKEN
- 2017
- Adjunct Researcher, AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology
- 2012
- Specially Appointed Assistant Professor, Global Scientific Information and Computing, Tokyo Institute of Technology
- 2011
- Project General Manager, Kobe Center, Research Organization for Information Science and Technology
- 2008
- Researcher, Center for Computational Sciences, University of Tsukuba
- 2008
- Ph.D. in Engineering, Department of Computer Sciences, Graduate School of Systems and Information Engineering
Keyword
- AI development computer optimized for scientific research
- Generative AI models
- Large-scale inference/learning
- Economic rationality
Research summary
By maintaining and operating an AI development computer in close coordination with the supercomputer 'Fugaku', it will be possible to exchange vast amounts of data in real time between large-scale inference/learning and large-scale simulations.
AI Development Computing Environment Operation Technologies Unit plans to create a collaborative environment for hundreds of users to simultaneously utilize basic models for scientific research, focusing on model inference, learning, verification, and feedback.
