AIP Acceleration Research
"AIP Acceleration Research" aims to maximize the research result as an AIP Network Laboratory by supporting newly-proposed research projects based on the excellent research results among the laboratory.
AIP Acceleration Research FY 2022
Easy ICSI system based on skill transfer of embryologists
Research Director
| Tadayoshi Aoyama |
Associate Professor, Department of Micro-Nano Mechanical Science and Engineering, Graduate School of Engineering, Nagoya University |
Collaborators
| Kenji Kato |
Director, Laboratory of Clinical Evaluation with Robotics, Assistive Robot Center, National Center for Geriatrics and Gerontology |
| Masaki Takasu |
Associate Professor, Joint Department of Veterinary Medicine, Faculty of Applied Biological Sciences, Gifu University |
Description
In this research, we will develop an easy ICSI system that enables ICSI without the help of embryologists, by accelerating the macro-micro interaction technique developed in the PRESTO research. The system is expected to solve the shortage of embryologists, which has become a major issue with the increasing demand for assisted reproductive technology. We will also evaluate development using animal embryos as a preclinical test, aiming for early social implementation of the developed technology.
Stretchable Smart Devices Using Machine Learning
Research Director
| Hiroki Ota |
Tenure Associate Professor, Graduate School of Engineering Science, Yokohama National University |
Collaborators
| Kentaro Kuribayashi |
Board of Directors and CTO, Pepabo R&D Institute, GMO Pepabo,Inc. |
Description
While there is a high demand for advanced IoT technology and DX worldwide, the integration of stretchable devices (hardware), which is one of the advanced IoT technologies, and machine learning (software) has not been achieved. In addition, social implementation has not yet been realized. In this research, we study a wearable application as a touchstone for social implementation by integrating the software technology of machine learning with the system-level stretchable device.
Verification and Validation of Autonomy using Digital Twins
Research Director
| Shinpei Kato |
Project Associate Professor, Graduate School of Information Science and Technology, The University of Tokyo |
Collaborators
| Danilo Vargas |
Associate Professor, Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University |
| Kenji Kono |
Professor, Department of Information and Computer Science, Faculty of Science and Technology, Keio University |
Description
We propose a method for data augmentation and end-to-end simulation self-contained in the cyber space on Digital Twins, and establish a methodology for verification and validation of autonomy feasible under real-world constraints. The goal of this work is to build a fully automated CI/CD pipeline for 3D object detection, combining the result of the CREST project "Learn by Run".
Challenge of Intervention Study of Psychiatric Disease by Combination of Psychiatry and Media Analysis
Research Director
| Shin'ichi Satoh |
Professor, Digital Content and Media Sciences Research Division, Digital Content and Media Sciences Research Division, National Institute of Informatics |
Collaborators
| Kiyoharu Aizawa |
Professor, Graduate School of Information Science and Technology, The University of Tokyo |
| Yoshinobu Kano |
Associate Professor, , College of Informatics, Shizuoka University |
| Taishiro Kishimoto |
Project Professor, Hills Joint Research Laboratory for Future Preventive Medicine and Wellness, Faculty of Medicine, Keio University |
| Toshihiko Yamasaki |
Professor, , Graduate School of Information Science and Technology, The University of Tokyo |
Description
We have been studying automatic detection of psychiatric disorders such as depression, schizophrenia and dementia. Based on our findings, highly stressed people or those with symptoms of possible psychiatric disorders can be observed even among ordinary users in SNSs. We will address technologies to treat such people. Specifically, technologies to infer effective intervention via detailed analysis will be studied.
Secure computation-based implementation of privacy-preserving inter-organizational data collaboration meeting social demands
Research Director
| Goichiro Hanaoka |
Prime Senior Researcher, , Cyber Physical Security Research Center, National Institute of Advanced Industrial Science and Technology |
Collaborators
| Seiichi Ozawa |
Professor, Center for Mathematical and Data Sciences, Kobe University |
| Takahiro Sugawara |
CEO, Eltes Co.,Ltd. |
| Shiho Moriai |
Director General, Cybersecurity Research Institute, National Institute of Information and Communications Technology |
Description
In this project, we will collaborate with external companies and institutions that are actively considering real-life applications of secure computation, and conduct research and development of practical secure computation systems that meet specific social demands. In addition, by providing the developed technology to these companies and institutions, we aim at real-life implementation and dissemination of technology that enables mutual use of data between different organizations and outsourcing of data analysis in a privacy-preserving manner.
