Research

Center for Robust Intelligence and Social Technology: CRIS

About the CRIS

Mission

By promoting basic researches on "Robust Intelligence" and problem solutions on "Social Technology", Center for Robust Intelligence and Social Technology (CRIS) aims to realize innovations on science technologies, which lead to progresses for solving various social problems. By doing so, we plan to create seeds for innovating technologies based on "novel" science knowledge.

Overview

CRIS is an NII division for joint researches established jointly by NII and LINE Corporation in April 2018. Focusing on "robust intelligent bases" and "technologies solving social problems," we work on research and development of information technology (IT) that can solve social issues, with intellectual ability that has the strength to cope with constantly changing and diverse real-world environments.

In order to realize nation-wide collaboration, CRIS enlarges commitments of researchers belonging to universities and research institutes of Japan by operating several commissioned researches as follows.

Content of Implementation

Abstract of the Program

  1. Researches on elemental technologies that support the knowledge base (robust intelligence) with robustness to cope with diverse real world environments
    Robust intelligence covers all aspects of computational understanding and modeling of intelligence in complex and realistic situations, and is a higher-level concept that comprehensively deals with artificial intelligence (AI) and big data. Robust Intelligence is the knowledge base for realizing "integrated-progress" in researches on AI, computer vision, natural language processing, machine learning, computational neuro-science, cognitive science, and related areas. CRIS organizes individual researches for developing elementary technologies of the related areas, and inter disciplinary researches for constructing Robust Intelligence.
  2. Research on applied technology utilizing robust intelligence for social problem solutions
    Outcomes of the researches will be applied to solve various social problems, to which Japan is now facing, such as low birth rate and aging, widened gaps on education, information, lives, etc.: attempts will be done for seeking ways to solve these problems by using Robust Intelligence and related elemental technologies.

Field of the Program

※This research program crosses a wide area, being limited as follows.

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Collaborative researches selected in 2019

On October, 2019, the following 3 researches have been started as collaborative researches between research leader's affiliated organization, NII and LINE Corporation.

Research Leader Title/Affiliation
Program Name
Sadao KUROHASHI Professor, Graduate School of Informatics, Kyoto University
Construction of knowledge-based neural dialogue infrastructure
Tatsuya KAWAHARA Professor, Graduate School of Informatics, Kyoto University
Robust Audio Scene Analysis for Advanced Spoken Dialogue Systems
Tetsunori KOBAYASHI Professor, Faculty of Science and Engineering, Waseda University
Advanced research on group conversation

Commissioned researches selected in 2019

Corresponding to our open call for commissioned research, 23 proposals were submitted.
The following 8 researches were selected after a strict and fair review process.
Acceptance/rejection notices were sent to applicants during August.

Research Leader Title/Affiliation
Program Name
Hayato YAMANA Professor, Faculty of Science and Engineering, Waseda University
A Passive Authentication Scheme with Imitation Resistance for Smartphones
Yuichi TANAKA Associate Professor, Department of Electrical Engineering and Computer Science, Tokyo University of Agriculture and Technology
Extreme Signal Processing
Toshio IRINO Professor, Faculty of Systems Engineering, Wakayama University
Extraction of clear speech feature using hearing impairment simulator based on auditory characteristics
Xuping HUANG Assistant Professor, Advanced Institute of Industrial Technology
Privacy Preserving IoT Healthcare Time-series Data Analysis for Fatigue Detection and Disease Prediction
Masato AKAGI Professor, Japan Advanced Institute of Science and Technology
Study on voice conversion system between multiple speakers in multiple languages using non-parallel data for training
Sakti SAKRIANI Associate Professor, Nara Institute of Science and Technology
Research on multi-modal speech chain for action recognition of elderly people using audio-visual information
Tomoko MATSUI Professor, Department of Statistical Modeling, the Institute of Statistical Mathematics
Data Representation Learning Based on Statistical Methods
Naoki YOSHINAGA Associate Professor, Institute of Industrial Science, the University of Tokyo
Social Implementation of Chat Dialogue System for Elderly Healthcare Monitoring

Commissioned researches selected in 2018

The following 9 researches were selected in January of 2019 with the research period until the end of March, 2020. The first 3 commissioned researches by Prof. KUROHASHI(Kyoto Uni.), Prof. KAWAHARA(Kyoto Uni.) and Prof. KOBAYASHI(Waseda Uni.) were finished in September, 2019, and were shifted to collaborative researches since October, 2019.

Research Leader Title/Affiliation
Program Name
Sadao KUROHASHI Professor, Graduate School of Informatics, Kyoto University
Analysis and modeling of speaker internal state using persuasive dialogue corpus
Tatsuya KAWAHARA Professor, Graduate School of Informatics, Kyoto University
Robust Audio Scene Analysis
Tetsunori KOBAYASHI Professor, Faculty of Science and Engineering, Waseda University
Multiparty conversation technologies for AI speakers.
Yusuke MIYAO Professor, Graduate School of Information Science and Technology, the University of Tokyo
Research on Natural Language Processing Technologies for Spoken Dialogues
Eiji ARAMAKI Associate Professor, Institute of Research Initiative, Nara Institute of Science and Technology
Study on Cognitive Impairment Screening using Smart Speaker
Kentaro INUI Professor, Graduate School of Information Sciences, Tohoku University
Knowledge-intensive, Data-driven Dialogue Response Generation
Nobuaki MINEMATSU Professor, Graduate School of Engineering, the University of Tokyo
Development of robust speech collection infrastructure for CALL studies using mobile terminals
Hiroaki OSHIMA Associate Professor, Graduate School of Applied Informatics, University of Hyogo
Monitoring Elderly Person Living Alone by IoT Devices and Its Application to Facilitate Family Communication
Akiyo NADAMOTO Professor, Department of Intelligence and Informatics, Konan University
Automatic generation of daily laughing content

Organization

Director

KITSUREGAWA Masaru (Director General, NII)

Deputy Director

KUROHASHI Sadao (Visiting Professor, NII/ Professor, Graduate School of Informatics, Kyoto University)

Secretariat

AIZAWA Akiko(Professor, Digital Content and Media Science Research Division/ Advisor to the NII Director General)
SATOH Shin'ichi (Professor, Digital Content and Media Science Research Division)
HIROSE Keikichi (Project Professor)
ASANO Yuki (Project Specialist)
NOMURA Yuko (Assistant Clerk)

Contact

National Institute of Informatics(NII)
Center for Robust Intelligence and Social Technology(CRIS)

Address:2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan
Phone:+81-3-4212-2591
E-mail:cris-info[at]*nii.ac.jp
*Please replace [at] with "@".

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