[Real-World Intelligence Fundamentals] Fundamental Innovation for Real-World Intelligent Systems

Strategic Objective

Research and Development in intelligent systems that flexibly responds to real-world environments

Research Supervisor

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Tatsuya Harada(Professor, Research Center for Advanced Science and Technology, The University of Tokyo)

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

Fuyuki Ishikawa Associate Professor, Information Systems Architecture Science Research Division, National Institute of Informatics
Kei Okada Professor, Graduate School of Information Science and Technology, The University of Tokyo
Yoshinobu Kawahara Professor, Graduate School of Information Science and Technology, The University of Osaka
Norimasa Kobori Director of AI, Lead of Vision AI Platform, Woven City Management, Woven by Toyota, Inc.
Komei Sugiura Professor, Faculty of Science and Technology, Keio University
Tadahiro Taniguchi Professor, Graduate School of Informatics, Kyoto University
Yukie Nagai Project Professor, International Research Center for Neurointelligence, The University of Tokyo
Takayuki Nishio Associate Professor, School of Engineering, Institute of Science Tokyo
Hironobu Fujiyoshi Professor, College of Science and Engineering, Chubu University
Takamitsu Matsubara Professor, Graduate School of Science and Technology, Nara Institute of Science and Technology

Quick Access

Program

  • CREST
  • PRESTO
  • ERATO
  • ACT-X
  • ALCA
  • CRONOS
  • AIP Network Lab
  • Global Activities
  • Diversity
  • SDGs
  • OSpolicy
  • Yuugu
  • Questions