Call for Proposal
Basic information of the Research Area
[Real-World Intelligence Fundamentals]Fundamental Innovation for Real-World Intelligent Systems
Research Supervisor
Tatsuya HaradaProfessor, Research Center for Advanced Science and Technology, The University of Tokyo
Strategic Objective
Research and Development in intelligent systems that flexibly responds to real-world environments
Overview
This research area aims to further advance AI and expand its application to real-world domains. It focuses on integrating AI with various fields, including mechanical engineering such as robotics and IoT devices, control theory, mathematics, neuroscience, and communications, thereby deepening fundamental scientific understanding and establishing core technologies.
To extend AI technologies, which are currently mainly deployed in cyberspace, to physical environments, several breakthroughs are needed to overcome technical limitations in computing resources, amount of training data, and inference performance, and to establish new methodologies that can flexibly respond to continuously changing and unpredictable situations. In this research area, we will work to achieve these breakthroughs and promote research and development aimed at realizing more advanced intelligent systems capable of performing various tasks in real-world environments at or beyond human capabilities.
Specifically, we will promote challenging research in areas including intelligent information processing that is adaptable to real-world environments, the integration of intelligence with physical functionality and actuation systems, and the establishment of system infrastructures to support AI.
In addition, this research area is operated as part of the Artificial Intelligence/Big Data/IoT/Cybersecurity Integrated Project (AIP Project) of the Ministry of Education, Culture, Sports, Science and Technology.
Research Area Advisors
Schedule of Selection Process
| Deadline for application | 2025/05/27 at 12:00 noon, Japan time |
|---|---|
| Document-based review | 2025/7/9 |
| JST will contact to the interviewees no later than | 2025/7/16 |
| Interview-based review（ONLINE） ※Interview date and time will be assigned by JST. |
2025/7/22, 23 |
Research Supervisor's Policy
Research Supervisor's Policy of this Research Area can be downloaded from below.