[Artificial Intelligence] Development and Integration of Artificial Intelligence Technologies for Innovation Acceleration

Strategic Objective

Creation of integration technology to enable utilizations of diverse and massive data using Artificial Intelligence core technologies rapidly growing in sophistication and complexity

Research Supervisor


Minoru Etoh (Professor, Open and Transdisciplinary Research Initiatives, Osaka University)


 In the 21st century, the development of communications networks and the drop in the price of communications and sensors has enabled the creation of database technologies for big data as well as machine learning based on this data, not only in the information and communications industries but also in primary and secondary industrial sectors such as agriculture and manufacturing. As a result, it is becoming possible to automate and optimize industries in a way that was not previously possible. In the future, innovative artificial intelligence (AI) core technologies such as deep learning, reinforcement learning and other types of machine learning, which make maximal use of the information that has seen such explosive growth in terms of both quantity and variety, will come into widespread use, and this is expected to result in a society in which it will be possible to use information effectively in various fields. The use of data will create a need for new services and innovations in society that will change the structure of all industries.
 The goal of this research area is to establish AI core technologies for gathering, processing, learning and controlling the enormous quantities of data in the real world in an intelligent, integrated and secure manner, and technologies that combine the results to help create innovations that will help to achieve the resolution of social issues and the automation and optimization of industry

 Specifically, the following types of research and development will be pursued:

1) Development of technologies to combine and analyze enormous quantities of various types of information to contribute to economy and society,
2) Development of technologies for systems that are optimized in accordance with circumstances, based on enormous quantities of various types of information, and
3) Development of security technologies that can be adapted to complex systems made up of diverse elements.

 Based on the prospect of a future society in which the use of enormous quantities of information will be even more widespread and advanced, the aim of this research area is to pursue the advancement of sensor technologies, database technologies that handle real-time big data, system security technologies, system optimization technologies based on machine learning and so on, with a view to application in various fields in the real world. Research and development of integration technologies that will enable these technologies to be combined in order to build information processing systems that can comprehensively process and understand real-world data in real time will also be pursued.
 The research achievements from this research area will form the core of innovation creation to promote automation and optimization in various fields such as mobility, robotics, medicine, healthcare, nursing care, disaster prevention and mitigation, agriculture, manufacturing and so on.
 To pursue these activities, an effective industry-academic collaboration will be established, and research and development will be conducted so as to enable progress through mutual sharing of issues and achievements in both fundamental research and integration research, in order to resolve actual problems facing society. In this way, research and development efforts will consider both the need to develop the AI core technologies that constitute fundamental technologies and the need for integration that actually combines these technologies to create innovation.
 This research area will operate as part of the Advanced Integrated Intelligence Platform project (AIP project) of the Ministry of Education, Culture, Sports, Science and Technology.

Research Area Advisors

・Shinichiro Isago
Director, Business Strategy, AD&Business Platform Department, LINE Corporation

・Kumi Ito
CEO, 4U Lifecare Inc.

・Seiichi Uchida
Professor, Department of Advanced Information Technology, Faculty of Information Science and Electrical Engineering, Kyushu University

・Makoto Onizuka
Professor, Graduate School of Information Science and Technology, Osaka University

・Kaori Kashimura
Broad Director/Division Executive, Business Strategy Division, Hitachi Appliances, Inc.

・Yoichi Sato
Professor, Institute of Industrial Science, The University of Tokyo

・Masashi Sugiyama
Director, Center for Advanced Integrated Intelligence Research, RIKEN/Professor, Graduate School of Frontier Sciences, The University of Tokyo

・Norihiro Hagita
Board Director, Director, Intelligent Robotics and Communication Laboratories, Advanced Telecommunications Research Institute International

・Tsutomu Matsumoto
Professor, Graduate School of Environment and Information Sciences, and, Institute of Advanced Sciences, Yokohama National University

・Masataka Matsumoto
Co-Founder and General Partner, WiL, LLC.

Year Started : 2016

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Shinpei Kato(Associate Professor, Graduate School of Information Science and Engineering, The University of Tokyo)

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Taishiro Kishimoto(Associate Professor, School of Medicine, Keio University)

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Katsufumi Sato(Professor, Atmosphere and Ocean Research Institute, The University of Tokyo)

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Shin’ichi Satoh(Professor, Digital Content and Media Sciences Research Division, National Institute of Informatics)

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Koichi Shinoda(Professor, School of Computing, Tokyo Institute of Technology)

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Goichiro Hanaoka(Group Leader, Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology)

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Ryuji Hamamoto(Division Chief, Research Instituite, National Cancer Center)

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Shiho Moriai(Director, Security Fundamentals Laboratory, National Institute of Information and Communications Technology)

Year Started : 2017

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Yoichi Ochiai(Associate Professor, Faculty of Media, Library, Information Studies, University of Tsukuba)

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Tokuyasu Kakuta(Professor, Research and Development Initiative, Chuo University)

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Yuji Sekiya(Associate Professor, Information Technology Center, The University of Tokyo)

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Toshihisa Tanaka(Associate Professor, Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology)

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Hiroki Matsutani(Associate Professor, Department of Information and Computer Science, Keio University)

Innovative Computer-Aided Cancer Diagnosis with Artificial Intelligence using 3D Shapes and Appearance of Cells

Research Director:
Ken’ichi Morooka(Associate Professor, Graduate School of Information Science and Electrical Engineering, Kyushu University)

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