Research

Center for Robust Intelligence and Social Technology: CRIS

The new CRIS website
http://research.nii.ac.jp/CRIS/en/

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

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.
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, including but not limited to topics listed in the figure.

CRIS Research Exchange Meeting

CRIS timely holds exchange meetings on research with reports from leaders of collaborative and commissioned researches together with followed discussions in order to facilitate the research progress.

3rd meeting (November 5, 2019)

With reports on research purposes, plans/contents, novelties, recent progresses and future plans from leaders of eight commissioned researches, which were newly selected as 2019 topics in August 2019, discussions were conducted prosperously such as on intelligent living supports using deep learning schemes, problem solving through dialogues, etc. We also had a report from Prof. Kobayashi (Waseda University), representing 3 collaborative researches, which started from October 2019 as shifts from commissioned ones.

2nd meeting (August 9, 2019)

Discussions were conducted with reports on research progresses from leaders of nine commissioned researches, selected as 2018 ones and started from March 2019. With participation of CRIS members including those belonging to LINE Corp. and cooperative researchers, discussions were conducted intensively not only on research progresses but also on research prospects, sketches for solving social problems, and so on.

1st meeting (January 9, 2019)

With participation of CRIS members including those belonging to LINE Corp., contents of the proposed researches were explained from leaders of commissioned researches selected in 2018. Then, discussions were conducted intensively on research plans together with future plans and sketch for social problem solving. At the beginning of the meeting, we also had talks from Kitsuregawa Director General, NII and Eguchi CEO, LINE Corp. In their talks, CRIS activities were first introduced, and then expectation for commissioned researches was addressed.

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）