Introduction
Greetings
IPRI was established in April 2025, based at the Waterfront Center of AIST, with the mission of accelerating the social implementation of trustworthy AI technologies in a data-driven digital society. AI technologies are indispensable across all industrial sectors—including manufacturing, services, finance, and healthcare—and the quality and safety of AI are directly linked to corporate reliability and competitiveness. In particular, the rapid advancement of generative AI in recent years has dramatically expanded technological possibilities while also revealing new challenges, such as responding to emerging risks and ensuring social acceptance. Moreover, as generative AI becomes increasingly sophisticated, enhancing the computational infrastructure that supports it has become a pressing issue. Not only the training of large-scale AI models, but also the selection and optimization of inference mechanisms are becoming key to realizing practical AI applications in society.
Against this backdrop, the IPRI promotes research and development in the following three key technological areas.
- AI Safety Management
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We aim to enhance AI reliability by advancing technologies for AI safety evaluation and management and developing comprehensive guidance to facilitate their adoption. In addition, we contribute to the international standardization of AI and engage in activities that strengthen Japan’s industrial competitiveness as a public research institute.
- Development of Al safety evaluation and management technologies
- Formulation of Al safety guidance and promotion of public adoption
- Contribution to international standardization activities,including ISO/IEC
- Computing Core Technology
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We are working to advance the computational infrastructure that supports the training and inference of large-scale AI models. Our focus includes building an ultra-distributed computing platform that supports a seamless “computational continuum” from the cloud to the edge, enabling scalable and flexible computing environments.
- Development of a computing continuum architecture spanning computing resources from cloud to edge
- Transfer of expertise in Al development environments and infrastructure to private companies
- Data Utilization Technology
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Through research into advanced data processing and utilization technologies—applied to domains such as smart cities and the space industry—we aim to realize the fusion of cyberspace and physical space, thereby supporting real-world decision-making and encouraging behavioral change.
- Cross-modal data generation and dataquality management
- Heterogeneous dataintegration using LLMs
- Simulation-driven dynamic data utilization, including real-time sensor data
From the outset of research and development, we are committed to envisioning social implementation and promoting the deployment of practical and sustainable technologies. We sincerely appreciate your continued understanding and support.
Organization
| members | Full-time researchers:31、160 members(including concurrent positions) |
|---|---|
| Location | AIST Tokyo Waterfront [Access] |
| Research Groups |
IPRI Members
Principal Research Manager(Project Manager)
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KATOU, Takeharu
Leading Continuum Computing Infrastructure Applications
katou.takeharu[at]aist.go.jp -

YAMADA, Tetsuya
Leading Continuum Computing Infrastructure Networks
yamada.tetsuya[at]aist.go.jp -

KONISHI, Koichi
Leading AI Safety Managements
k.konishi[at]aist.go.jp -

TSUTSUMI, Chiaki
Leading Geospatial Systems
tsutsumi.chiaki[at]aist.go.jp -

ISHIHARA, Yasuhide
Leading Advanced AI Computing infrastructures
ishihara.y[at]aist.go.jp




