Innovative AI technologies for sophisticated integration of cyber and physical world
In recent years, AI and machine learning technologies have made remarkable progress and are rapidly expanding their range of applications. The big data approach is powerful, but difficulties include understanding deep learning results (black box problem), dealing with exceptional events (e.g. unprecedented failures), and responding in real time to rapidly changing situations. This theme aims to realize Society 5.0 through the advanced fusion of cyber and physical space, and to promote R&D of innovative AI technologies to solve various problems that will emerge under the following circumstances:
- Situation where modeling and simulation technologies and AI technologies are linked and integrated
- Situation of applying AI technology to real-world objects and existing social systems
Specifically, we aim to make AI accountable, secure, reliable, flexible, responsive, real-time, and faster.
R&D Projects
Feasibility Study
| <Adopted in FY2019> R&D Project Title | Summary | R&D Period |
|---|---|---|
| Utilization of traffic dynamics as a computing resource of AI
ANDO Hiroyasu（Professor, AIMR, Tohoku University） |
 (PDF:363KB) |
2019.11 -2022.03 |
| Privacy preserved AI framework based on distributed anonymization SAITO Hideo (Professor, Department of Information and Computer Science, Keio University） |
(PDF:282KB) |
2019.11 -2022.03 |
| Development of Complex Event Modeling and Smart Assistant Technologies SAKURAI Yasushi (Professor, The Institute of Scientific and Industrial Research, Osaka University） |
(PDF:229KB) |
2019.11 -2022.03 |
| Authority Transfer System to Enhance AI-Human Cooperation TAKAHASHI Makoto (Professor, Faculty of Engineering, Tohoku University） |
(PDF:242KB) |
2019.11 -2022.03 |
| Mobility Service Design Support by Social Simulation and Modelling NODA Itsuki (Professor, Division of Computer Science and Information Technology, Hokkaido University） |
(PDF:359KB) |
2019.11 -2022.03 |
| Research of Hardware Security on Edge AI Hardware FUJINO Takeshi (Professor, Department of Electronic and Computer Engineering, Ritsumeikan University） |
(PDF:308KB) |
2019.11 -2022.03 |