Research and Development onArtificial Intelligence Technology in Japan
November 29, 2017Hisashi Sekine
Director General and Project ManagerRobot and Artificial Intelligence Technology Department
New Energy and Industrial Technology Development Organization (NEDO)
Table of Contents
1. Japanese Government and NEDO Activities on Robotics and Artificial Intelligence (AI)
2. NEDO Robotics and AI Projects (SamuRAI Project)
3. AI Promotion in Japan
4. Global-Scale R&D on AI Technology
5. Survey Research Using Competition Method
6. NEDO Special Courses Related to AI Human Resource Development
7. Conclusion
1
1. Japanese Government and NEDO Activities on Robotics and AI
2
3
Japanese Government and NEDO Activities on Robotics and AI
FY2014
NEDO
March 2015Technical strategy formulated for AI and robotics fields
May 2015Development of next-generation AI and robotics core technology started
April 2016Robot and AI Technology Department established
April 2014Technology Strategy Center andRobot and Machinery System Technology Departmentestablished
April 2016Publication of "Vision for Prospective AI Technologies and Applications"
May 2015National Institute of Advanced Industrial Science and Technology (AIST)AI Research Center (AIRC) established
FY2015 FY2016 FY2017
Robotics
AI
May 20172nd Tri-Ministerial AI Symposium
March 2017AI R&D goals, AI industrialization roadmap announced
April 2016Fifth Public-Private Dialogue Towards Investment for the Future (Japan Economic Revitalization Headquarters)
April 2016Strategic Council for AI Technology established1st Tri-Ministerial AI Symposium
September 2014First meeting of Robot Revolution Realization Council
February 2015New Robot Strategy approved(Japan Economic Revitalization Headquarters)
Government
2. NEDO Robotics and AI Projects (SamURAI Project)
4
NEDO’s Robot Development History and Future Plan
2015H27FY
1999H11FY
2000H12FY
2001H13FY
2002H14FY
2003H15FY
2004H16FY
2005H17FY
2006H18FY
2007H19FY
2008H20FY
2009H21FY
2010H22FY
2011H23FY
2012H24FY
2013H25FY
2014H26FY
Usa
ge S
tudy
Base
Te
chno
logy
Dem
onst
ratio
n
Mar
keta
bilit
y
5
Manufacturing & Service Robot Development(1.5)
InnovativeAI & Robot Technology(2.0)
Manufacturing Robot Installation(1.0) (JARA)
2016H28FY
2017H29FY
5
SIP AutomatedDriving System
2017~
World RobotSummit (WRS)
2018 / 2020
Strategic Advancement of Multi-Purpose Ultra-Human Robotand AI Technologies(SamuRAI) Project
Next-Generation Artificial Intelligence (AI)
Language understanding
Decision-making support
PredictionCommon core AI
VGathering AI researchers and engineers at AIRCto promote globally-advanced AI research
(1) Fundamental Research targeting Large-Scale Real-World Applications
(2) AI Framework and Advanced Core Modules
(3) Standard Tasks and Benchmarking
Examples of Applications:
6
Strategy for AI research
7
Core Center of AI for Industry-Academia Co-operation
InstitutesCompanies
Technology TransferJoint Research Technology Transfer
Spin-off
Start-ups
Machine Learning and Probabilistic Modeling
Brain-inspired AI Data-Knowledge Integration AI
AI embedded in the Real World
Observation,Data Acquisition
Modeling,
Prediction
Modeling,Recognition,Prediction
・・・Natural LanguageNatural LanguageUnderstanding
Planning,Control
②AI Framework andAdvanced Modules
①Large-Scale Fundamental Research
Modeling Phenomenain Daily Human Life
Constructing Geo-SpatialInformation Platform
Robot For Manufacturingand Daily Life Support
Accelerating Scientific Research
③Shared Tasks and Benchmark Data
Support improvement
Productivity【Manufacturing】PredictionEfficient Production【Services】Metrics &VisualizationSupport improvement
Mobility
Efficient MobilityQuality of MobilityAutonomous Car
Health, Medical Care, WelfareAI-aided Diagnosispersonalized medicineRisk predictionDisease identificationDrug development
Safety/ SecurityDisaster preventionDisaster ResponseEstimation of affectedareaEvacuation Plan
- Creating positive cycle among research and deployment of AI
8
Entrustment
Joint research
③Next-generation AI common infrastructure technology R&D
②Next-generation AI framework research, advanced core module R&D
①Large-scale basic research, advanced technology R&D
NEDOProject Manager: Hisashi Sekine
National Institute of Advanced Industrial Science and Technology (AIST)
AI Research Center (AIRC)Project Leader: Junichi Tsujii
Human resources development
Advanced Telecommunications
Research Institute (ATR)
Preferred Networks MOLCURE
Institute of Physical and
Chemical Research (RIKEN)
Re-entrustment
or joint implement-
ation
(As of November 2017)Adoption/Technology Promotion
CommitteeChairman: Minoru Asada
(Professor, Osaka University)
TOPS Systems
Shared tasks:(1) Living behavior modeling (AIRC, Chiba Institute of Technology, Tamagawa University)(2) Construction of geospatial information platform and “smartization” of space movement (AIRC, Kyushu Institute of Technology, Nagoya University)(3) Work performed by robots using AI (AIRC, Waseda University)(4) Text information integration for acceleration of science and technology research (AIRC)
(1) R&D for next-generation AI framework (AIRC, National Informatics Institute (NII), the University of Tokyo)(2) R&D of advanced core modules (AIRC, Chubu University, Chukyo University, Osaka University, Kanazawa University,Shinshu University, Nara Institute of Science and Technology)
(1) R&D for next generation neuromorphic AI (AIRC, the University of Tokyo, University of Electro-Communications, Kyoto University,Kyushu Institute of Technology, Future University Hakodate)(2) R&D on integrated data/knowledge-type AI (AIRC)(3) Advancement of machine learning and stochastic modeling technology (AIRC, the University of Tokyo, Tokyo Institute of Technology)
NEDO/AIRC providing AI advanced technology human resource development course at the University of Tokyo NEDO/AIRC providing AI basic technology human resources training course for data scientists at the University of Tokyo
R&D Implementation Structure for Advanced AI Technology
Participation in AIRC Research
Collaborative Research with AIRC
Participation in NEDO Projects
(Secondment/Cross-appointment)
Company・Contracts to perform
collaborative research with AIRC
・Pays research expenses
・May use AIRC’s IPunder contract
AIRC・Accepts researchers on
seconded or cross-appointment contracts
・Pays labor costs
・Allows researchers to useAIRC's IP
Cross-appointment/ SecondmentContract
AIRCCompanyUniversity
9
3. AI Promotion in Japan
10
Fifth Public-Private Dialogue Towards Investment for the Future
11
Photos from the Prime Minister‘s official website: http://www.kantei.go.jp/jp/97_abe/actions/201604/12kanmintaiwa.html
At Japan’s fifth Public-Private Dialogue Towards Investment for the Future held on April 12, 2016, Prime Minister Abe announced that during fiscal year 2016 Japan would establish AI research and development goals and formulate a roadmap for AI industrialization. To that end, Prime Minister Abe stated that Japan would gather the wisdom of industry, academia, and government, and create the cross-sectoral Strategic Council for AI Technology.
12
Collaborative AI R&D and Technology Promotion
Government/companies and others in target sectors
Lead body for tri-ministerial collaboration on AI R&D and innovation policiesCouncil composed of: Chair; Advisor from Council for Science, Technology, and Innovation; representatives from industrial sector and academia; executives in supervisory positions from five companies; and bureau directors from three ministries. Council secretariat co-hosted by three ministries.
Strategic Council for AI Technology
Coordinates research and approves detailed themes for collaborative research
Council for Research Collaboration (Director level body)
Collaboration
Source: "New Industrial Structure Vision" - Japan's Strategy to Lead the Fourth Industrial Revolution - Interim Consolidation of theIndustrial Structure Council, April 27, 2016, revised by the Ministry of Economy, Trade and Industry
RoadmapTask Force
Fostering Experts
Task Force
Data Maintenance & Open Tool Task Force
Venture development
· Financial collaboration
Task Force
• Under the direction of the Prime Minister, the Strategic Council for AI Technology was established in fiscal year 2016. The council serves as the lead body under which the three relevant Japanese ministries (Ministry of Internal Affairs and Communications (MIC); Ministry of Education, Culture, Sports, Science and Technology (MEXT); and the Ministry of Economy, Trade and Industry (METI)) collaborate on the R&D of AI technologies.• The three ministries established a Council for Research Collaboration and a Council for Industry Collaboration to accelerate R&D on AI technology as well as facilitate its commercialization.
Coordinates R&D collaboration in areas such as human resource development, standardization, roadmap preparation, analyses on technology/intellectual property trends, and regulatory reform.
Council for Industry Collaboration
Deploy results
AIST(AIRC)
(METI)manager of center:
Junichi Tsujii
RIKEN(MEXT)manager of
center:Masashi Sugiyama
NICT(MIC)
CiNet manager of center:
Toshio Yanagida
13
Establishment of NEDO’s AI Portal Website
NEDO’s AI Portal http://www.nedo.go.jp/activities/ZZJP2_100064.html?from=b
At the recently established NEDO AI portal website (URL below), information is provided regarding Japanese government AI R&D activities and efforts to promote next-generation AI. Information on the portal is provided in Japanese on the following topics:
AI Technology Strategy Outline · Policy Reports/Database Related Councils
Budget Announcements Related Links Inquiries
Artificial Intelligence Development Phases
14
Industrialization Roadmap Projected by the Fusion of AI and other related Technologies (Productivity)
15
4. Global-Scale R&D on AI Technology
16
17
Leading research on social implementation of next-generation
AI technology on global scale (15 projects, 39 researchers)
Leading research on social implementation of next-generation
AI technology on global scale (15 projects, 39 researchers) In accord with METI's Global Research Center for Artificial Intelligence, new
AIST/AIRC facilities will be built in the Tokyo waterfront area and the city of Kashiwa in
Chiba Prefecture. Industry-academia-government collaboration will take place at these
facilities, allowing Japan to gather expertise from around the world and carry out
cutting-edge collaborative research aimed at the social implementation of AI
technology after fiscal year 2018.
With this in mind, NEDO has selected 15 projects to promote the R&D of promising
next-generation technologies that integrate robotics, materials, and devices with AI
and address social issues by utilizing high-quality on-site data. Through this initiative,
NEDO aims to both help solve Japanese social issues (e.g. improving productivity,
providing care and support to the elderly, promoting healthy lifestyles) and establish
AI technologies with global applications.
Promotion of Leading AI Research
18
AIST’s Information Infrastructure
AIST
In Japan Overseas
Commercial cloud
AI center base @Linkai
NII SINET5 networkNICT JGN-X network
R&D data
AIRC network
Collaborating organization
Data holder
Transparent collaboration with commercial cloud by virtual private network and Direct Connect service and others
Collaborative research with overseas data holders facilitated by stable external connection with institution
Suppression of power consumption essential ⇒ Power-saving AI devices
Nairobi+ cluster (Tsukuba)Started June 2016 AIST AI cloud AAIC
Started April 2017 AI bridging cloud ABCI (Kashiwa)Planned sometime after April 2018
100 gigabits per second high-speed data transfer using dedicated line dark fiber network servicing high-definition video conferences (currently under maintenance)
Collaborating organization
5. Survey Research Using Competition Method
19
20
Using competitions to support small and medium-sized AI venture companies (6 topics, 7 researchers)
Using competitions to support small and medium-sized AI venture companies (6 topics, 7 researchers)
NEDO recently adopted six research topics proposed by promising AI venture
companies with the aim of discovering and supporting innovative and challenging AI
technologies. These research topics were selected from among 57 applications
submitted for a competition that involved document screening and demonstrations of
prototypes.
This research study is consistent with the Japanese government’s AI technology
strategy. By supporting these startups, NEDO promotes the social implementation of
AI and strengthens industrial competitiveness by creating new demand and
accelerating integration with existing sectors.
Promotion of AI Survey Research
21
Competition method
Evaluates the merit of submissions using practical demonstration of prototypes
Stimulates venture companies’ competitiveness
Leads to increased business opportunities due to positive publicity from success at competition
Uses simplified application form that encourages significantly higher number of applicants
Matchmaking support
Provides AI startups with matchmaking support to facilitate tie-ups with large companies who can help develop sales channels and find suppliers, thus fostering the commercialization of AI technology
Competition Method and Matchmaking Support
22
Significant increase in applicants
Simplified application
form
Practical demonstration
of prototype
MatchmakingSupport
Competition method
AI Competition Method Supports Small and Medium-Sized Venture Companies
23
提案書
提出日:平成 年 月 日
調査研究テーマ名 〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇の調査研究
(20 字程度を目安として記載してください。)
前回提出日(再提出時のみ)
平成 年 月 日
解決すべき社会課題 〇〇 (40 字以内としてください。)
委託対象となる調査
研究内容(技術課題
と解決手段)及び金
額
〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇
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〇〇〇〇〇〇〇〇〇
調査研究費用総額(見込み):50 百万円
調査研究後、本格的
な研究から実用化に
至るまでのシナリ
オ・構想、
実用化のイメージ・
インパクト
〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇
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〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇
〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇
〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇
〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇
デモンストレーショ
ン内容
〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇〇
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〇〇〇〇〇〇〇〇〇
デモンストレーショ
ンに必要な機器・環
境
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〇〇〇〇〇〇〇〇〇
提案者 1
(連絡先)
法人情報
名称 ○○○株式会社
住 所 〒 ○○県○○市○○1-2-3 ○○○株式会社
TEL ○○○○-○○○○-○○○○
主たる業種 情報サービス業 資本金 20 百万円 従業員数 25 名
現に実施あるいは応募している公的資金による類似の研究開発
名称(テーマ名) ○○○
提案時期 ○○~○○
技術内容と本提案との相違点 ○○○○○○○○○○○○○○○○○○○○○
過去のNEDO研究開発プロジェクト実績
●プロジェクト番号・名称:P00000 ○○技術開発
●実施期間:○○年度~○○年度
●プロジェクトで生み出した技術的成果と実用化の状況:(例)
・当該事業で開発した○○○技術を△△△製品の×××として活用している。
・当該事業で開発した○○○技術を利用して△△△の製造をしている。
・当該事業で取得した○○に関する特許を他社にライセンス供与している。
●成果が活用されている製品名:
●直近の売上額:
●その他(社会的便益、CO2 削減効果、雇用創出など):
研究開発責任者 所属部署・役職 ○○○事業部 部長
氏 名 ○○ ○○
E-mail ○○○○@○○○.○○.○○
e-Rad研究者番号 8 桁の数字
Application form greatly simplified compared to
conventional NEDO form
• One or two page proposal may be sent via email
• Prior to final deadline, applications may be
withdrawn and resubmitted any number of times
Proposal
R&D planR&D content
Organization chartEstimated budget
Financial statements
Outline of Proposal Application Procedure
24
Award Adopted ThemesCompanyName(s)
Grand Prize Practical Application of End-to-End Speech Recognition AI Capable of Providing Multi-Speaker/Multi-Language Support Hmcomm
Award of Excellence/
SpecialJury Award
Study on Using AI to Enhance Medical Analyses ARIShimadzu
″ AI for Japanese Accustomed to Using Smart Phones SOINN
″ Research on Unstructured Data Retrieval by Interactive Interfaces Using Deep Learning BEDORE
Special Jury Award Development of Multisensory AI Camera earth eyes
″ Research on Using AI to Enhance Back-Office Operations in Contract-Related Work Cinnamon
FY2017 Research Survey List of Adopted Themes
24
6. NEDO Special Courses Related toAI Human Resource Development
25
26
Human resource development related to NEDO special courses
Human resource development related to NEDO special courses
NEDO is working with Osaka University and the University of Tokyo on AI-related human resource development training courses. The courses for fiscal year 2017 are already fully registered so courses are also planned for fiscal year 2018.
NEDO Special Courses Related to AI Human Resource Development
7. Conclusion
27
28
Project Introduction Handbook
http://www.nedo.go.jp/library/pamphlets/RBAI_hbook201709.html★Handbook available in Japanese from the following website★
Toward a Society Where AI Enriches the Lives of People
29
Improved industrial productivity, taking advantage of Japanese expertise with manufacturing technologyEnhanced responses to addressing social challenges such as smaller working age population, aging society, emphasis on healthy lifestyles, and increased demand for medical and nursing careMore effective responses to solving and preventing crime More timely assistance with disaster prediction, prevention, and reconstruction in Japan where such disasters occur frequently
AIRC achievements in using robots equipped with AI to solve social issues
Thank you for your attention.
Toward the realization of a better society where AI enriches the lives of people!
30
Robots & AI for
Happiness31
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