Fujitsu Laboratories’ R&D Strategies Keynote... · 2017-10-20 · - 2016 the Future Direction of the Active Use of Big Data in the Distribution and Logistics Field by METI study

1 Copyright 2017 FUJITSU LABORATORIES LTD.

Fujitsu Laboratories Advanced Technology Symposium 2017

“Quantum Computing: Leading the Next Generation IT Revolution”

2 Copyright 2017 FUJITSU LABORATORIES LTD.2 Copyright 2017 FUJITSU LABORATORIES LTD.

Fujitsu Laboratories’ R&D Strategies~Human Empowermentthrough Cutting-Edge Digital Technologies~

Shigeru Sasaki

CEO, FUJITSU LABORATORIES LTD.


Fujitsu LaboratoriesAdvanced Technology Symposium 2017

“Quantum Computing:Leading the Next Generation IT Revolution”


Fujitsu LaboratoriesAdvanced Technology Symposium 2017

“Quantum Computing:Leading the Next Generation IT Revolution”


Overview of Fujitsu Laboratories


Body text 1st layer

Body text 2nd layer

• Body text 3rd layer

• Body text 4th layer

• Body text 5th layer NewTechnology

New BusinessModel

New Market

Fujitsu Laboratories: Mission

Driving the Fujitsu Group growthwith leading-edge technologies

6 Copyright 2017 FUJITSU LABORATORIES LITD.


Beijing

ShanghaiSuzhou

KawasakiAtsugi

TorontoMadrid

London

Sunnyvale,California Richardson,

Texas

Global Activity

Employees: Approx. 1200 in Japan, Approx. 230 overseas Open Innovation: 123 Projects in Japan, 44 Projects in 14 Countries

Big Data Analysis Healthcare AI Traffic Surveillance AIQuantum Computing/AI



Fujitsu Laboratories’ R&D Strategic Scheme

Solve social problems with advanced technologiesby predicting the future and global trends

HealthcareManufacturing

MobilityLife Innovation

One Network

Foundational Research

Security

Connected Business Platform

AI

Intelligent Computing

Computer Architecture Network Architecture Nine-Sensecomputing Social Science Physical and Chemical

Digital Co-creation

Human CentricInnovation

Technology Vision:Hyperconnected Cloud

Applied Innovation Research:10%

Commercialization R&D :30%

Advanced Research:50%

Fundamental Research:10%

Fujitsu Technology andService Vision Social Innovation


Megatrends and Fujitsu Laboratories’ R&D Strategies

10 Copyright 2017 FUJITSU LABORATORIES LTD.Copyright 2017 FUJITSU LABORATORIES LTD.10

Vision by Predicting Future and Global Trends

“Knowledge Sharing“ & “Quick Decision Making“ 1

“Human Creativity” × "Digital Technologies“2

“Transform Social Regulations” ⇒ “Open Ecosystem”3





















Trends of Fujitsu Laboratories’Eight Emerging Technologies


Computing Revolution

Digital AnnealerⅠ

Explainable artificial intelligence

Deep Tensor + Knowledge GraphⅡ

Data-driven platform connecting various industries:

Connected Digital PlaceⅢ

Dramatic increase in the number of connected things:

Zero Limitation NetworkingⅣ

Speed & Insightby Software-defined World:

Microservice TransformationⅤ

Data reliability assurance:

Borderless IoT SecurityⅥ

Human five senses, Sixth sense,Illusion, Desire, and Empathy:

Nine-SensecomputingⅦ

Fusion of Physical and Chemical:

Materials InformaticsⅧ


Trends of Fujitsu Laboratories’Eight Emerging Technologies



Digital AnnealerⅠ

Explainable artificial intelligence

Deep Tensor + Knowledge GraphⅡ

Data-driven platform connecting various industries:

Connected Digital PlaceⅢ

Dramatic increase in the number of connected things:

Zero Limitation NetworkingⅣ

Speed & Insightby Software-defined World:

Microservice TransformationⅤ

Data reliability assurance:

Borderless IoT SecurityⅥ

Human five senses, Sixth sense,Illusion, Desire, and Empathy:

Nine-SensecomputingⅦ

Fusion of Physical and Chemical:

Materials InformaticsⅧ


Solutions for Global Social Concerns

Forecast& Rapid

Measures

Naturaldisasters

Aging in Bridge& Road

Socialinfrastructure

Food& Farmland

Shortage

Food/Agriculture

Long-lived & Aging Society

Healthcare

Traffic Jam / Low Carbon

Society

Transportation/Vehicles

Environment/Energy

EnvironmentallyFriendlyEnergy



Future Trends of Logistics / Distribution Industry

2014 2015 2016 2017 2018 2019

Middle East/Africa Latin AmericaMiddle East/ Eastern Europe Western EuropeNorth America Asia-Pacific

40

30

20

10

0

[Tri

l. d

oll

ars

]

Source: Analysis of ICT Industrial Trends in the IoT Era: 2016 White Paper on Information and Communications in Japan (by MIC)

World’s E-Commerce market$35 Tril.

[Year]

Logistics/Distribution Industry Forecast• Increase of logistics resources• Shifting to global/borderless market• Increase of logistics resources/ demands for workers• In 2030

World population: Approx. 8.3 billion Megacities with populations of over 10 mil.: 41 cities Expansion of Cross-border EC (Volume of

cross-border transactions: 3 times) Fully automated transport /delivery of goods

- Source: UNIDO, International Yearbook of Industrial Statistics 2016 by MIC - 2016 the Future Direction of the Active Use of Big Data in the Distribution

and Logistics Field by METI study group

Keys to the solution of social issues: Global logistics management across borders of land, sea and air Optimization of SCM, required time for delivery, work hours,

and energy consumption Smart mobility realization by AI and connected car


ICT Supporting the Future E-Commerce,Logistics / Distribution

GPS

AutomatedDriving

Camera/Sensor

- Merchandise & service matching- Small quantity &

large variety transportation

- Energy consumption minimization- Working conditions /

Vehicle monitoring

SharingManagement

system

PersonRetail

Warehouse/Logistics center

Factory

Production plan, Purchase/Sales order plans Digital marketing

- Transportation routecombinatorial optimization

- Last mile transportation

AI/Data analysis•Deep Tensor•Data Bazaar

Computing•Digital Annealer•Edge Computing

Network•5G / IoT/ Sensor network•GPS / RFID

Telematics

GlobalSCM

Wearable device’s driver information

Meteorological data

Distribution/Logistics

Congestion alleviation/elimination

Environmental pollution elimination

Trafficinformation

Environmental information


Future Work Style Trends

Source: Annual Report on the Aging Society: 2016 by Cabinet Office

Source: United Nations, The World Population Prospects: The 2012 RevisionICT Progress and Future Work Styles: 2016 White Paper on Informationand Communications in Japan (by MIC)

50

60

70

80

90

100

1950 2000 2050

Female Male

100

90

70

60

50

[Ag

e] 80

90.29

84.19

Transition/prediction of Japaneseaverage longevity

Work style prediction• In 2030 (Elderly people: at age 65 or over)

Number of elderly people in the world:Exceeded the one billion mark

Increase of the elderly percentage in the populationJapan: 32%, U.S.: 21%, China: 16%, Germany: 31%

• Diversified employment patterns• Increased demand for engineers/

professionals in new fields along with advent ofadvanced technologies

[Year]

Keys to economic growth: Recruit more diverse staffers globally (Value dynamism of individuals) Create new job categories and services by increasing business demand Expand/provide work opportunities and improve work quality/productivity


Future Work Styles

New business creationNew products / Services ⇔

Demand / Consumption

HR matchingJob orders ⇔ HR data

HR optimizationWork volume / Quality / Health conditions⇔

Skill / Work hours

Human resources/ICT infrastructure resources

VR/ARautomatictranslation

Human Empowerment

Sales/Service HR support

Healthcare

Education/School expense subsidy

Routine task automation/ Work support Office

TeleworkSpace UI

Technology

Conveyance of Realistic

Sensation

AI/Data analysis• Deep Tensor• Data Bazaar

Computing• Digital Annealer• Cloud/Edge Comp.

Network• 5G / IoT• Sensor Network

MobileWork

Factory Automation

Remote collaboration at the global level


For Knowledge Creation

Breakthrough in Human ability and performance by ICT

What ICT and AI can do

Human＋ICT

Human

Digital AnnealerDeep Tensor

Nine-Sensecomputing• Social issue solution• Optimization / Combination (Logistics, Disaster prevention, …)• Decision-making support (Healthcare, Finance, …)• Materials Informatics

・Knowledge accumulation・Human ability enhancement・Customer contacts enhancement・Manufacturing transformation/SCM・Work style reform

Knowledge graph

Inte

llig

ence

x P

roce

ssin

g a

bil

ity

Gen

era

lity

Exp

erti

se • Big data analysis• Permanent recording/storage• Automation/Autonomization

Naturallanguage

recognition

Semantic analysis(Understanding

of meaning)

Ontology(Reasoning)

Imagerecognition

Informationprocessing

Symbolprocessing

What ICT can do by itself

General AI

ICT＋AI Operating insteadof human beings

Human + AI ＋ ICTWhat we should do with Human-in-the-loop


Human Empowerment

Quick Decision MakingInfo Sharing and Analysis

World’s Huge Knowledge Base

Human in the loopInfo Sharing and Analysis

Data Collection/Information Sharing

Data CollectionInformation Sharing


Human Empowerment

Quick Decision MakingInfo Sharing and Analysis

World’s Huge Knowledge Base

Human in the loopInfo Sharing and Analysis

Data Collection/Information Sharing

Data CollectionInformation Sharing


The World of Hyperconnected Cloud

/

Leading-Edge Basic Research:Challenging the limitations of ICT

Security：Integrated security systemprotecting cyberspace,IoT, personal identitydata, and products

Core/Front Network Fusion：

One network virtually connecting all things fromphysical networks to front-

end devices and services

Service-Oriented Connection:Integrate various services dynamically

and promote Co-creation business

Web Scale ICT Infrastructure: Novel ICT architecture toward

intelligent cloud era

AI (Artificial Intelligence):Make all products, functions andservices intelligent through AI


Key R&D Strategies


Concept of Key R&D Strategies

Copyright 2017 FUJITSU LABORATORIES LTD.26

AI

Explainable AISolving CurrentlyUnsolvable Problems

" Knowledge Sharing“ & "Quick Decision Making“




Explainable AI

AI・High-speed data analysis・Optimization problems・Data sampling

Solving CurrentlyUnsolvable Problems





Explainable AI

AI

・Operation/Route planning・Medical care (Radiotherapy)・Investment portfolio・Chemical substance search・Disaster prevention plan・Electric network optimization

・High-speed data analysis・Optimization problems・Data sampling






Explainable AI

Digital AnnealerDomain Specific Computing


・High-speed data analysis・Optimization problems・Data sampling AI






Explainable AI

・Big Data analysis・Existing and Empirical

knowledge learning・Data cleansing

AI









Explainable AI

・System automation ・Emotion/feeling understanding・Medical care(Gene analysis, Drug discovery)・Matching services・Cyber security



AI









Explainable AI

Deep Learning Unit

Knowledge Graph


Deep Tensor



AI








Copyright 2017 FUJITSU LABORATORIES LTD.3333 Copyright 2017 FUJITSU LABORATORIES LTD.

Explainable AI

Deep Learning Unit

Knowledge Graph


Deep Tensor



AI







Strategy of Quantum Computing

Achievement of Computing Revolution by Global Co-creation

Quantum Computing

FinancePortfolio

optimization

MedicalcareRadiotherapy

Disaster Measures

Security Transpor-tation

/ Logistics


Challenge Currently Unsolvable Problems

￥

Brain Computing

Neural Computing

ApproximateComputing

DigitalAnnealer

Evolution

Quantum Annealer

QuantumGate

FUJITSU LABORATORIES

Digital Annealer

University of Toronto

Social SystemApplication Software

1QBitQuantum Computing

Software

• Strategic partnership• A new research center

is established in Toronto


Strategy of Quantum Computing

Achievement of Computing Revolution by Global Co-creation

Quantum Computing

FinancePortfolio

optimization


Disaster Measures

Security Transpor-tation

/ Logistics


Challenge Currently Unsolvable Problems

￥

Brain Computing

Neural Computing

ApproximateComputing

DigitalAnnealer

Evolution

Quantum Annealer

QuantumGate

FUJITSU LABORATORIES

Digital Annealer

University of Toronto

Social SystemApplication Software

1QBitQuantum Computing

Software

• Strategic partnership• A new research center

is established in Toronto



Deep Learning

Explainable Artificial Intelligence

Inquiry to AI

https://www.google.co.jp/url?sa=i&rct=j&q=&esrc=s&source=images&cd=&ved=0ahUKEwjTya2foNPWAhWEyrwKHeNwAgQQjRwIBw&url=https://nekogazou.com/0130gaji/&psig=AOvVaw2YNIOk3t-hz6a_u94QAwfF&ust=1507078660574175

https://www.google.co.jp/url?sa=i&rct=j&q=&esrc=s&source=images&cd=&ved=0ahUKEwjTya2foNPWAhWEyrwKHeNwAgQQjRwIBw&url=https://nekogazou.com/0130gaji/&psig=AOvVaw2YNIOk3t-hz6a_u94QAwfF&ust=1507078660574175



LOD

Numericalstrings

Databases Texts

Data fromall over the world

Theses

Symbolstrings

Plotdata

Characterstrings

●×▲■◆÷☆★◎〒

223630679314

1592

gろFにTかさQわVん

Inquiry to AI

Deep Tensor



LOD

Numericalstrings

Databases Texts

Knowledge Graph


Growing knowledge data base withmeaning, grounds, and relationship

Theses

Symbolstrings

Plotdata

Characterstrings

●×▲■◆÷☆★◎〒

223630679314

1592


Healthcare

FinanceHuman

Resource

Inquiry to AI

Deep TensorGraph

Expression



Fusion of Deep Tensor and Knowledge Graph

LOD

Numericalstrings

Databases Texts

Knowledge Graph



Theses

Symbolstrings

Plotdata

Characterstrings

TensorExpression

●×▲■◆÷☆★◎〒

223630679314

1592


Inquiry to AI


GraphExpression Healthcare

FinanceHuman

Resource

Deep Tensor



Fusion of Deep Tensor and Knowledge Graph

LOD

Numericalstrings

Databases Texts

NewInsights


Experts

Theses

Symbolstrings

Output by AI

Plotdata

Characterstrings

●×▲■◆÷☆★◎〒

223630679314

1592


Inquiry to AI

Knowledge Graph


TensorExpression


GraphExpression Healthcare

FinanceHuman

Resource

Deep Tensor

Judgement / Discovery/ Explanation



Documents

Fujitsu Laboratories’ R&D Strategies Keynote... · 2017-10-20 · - 2016 the Future Direction of the Active Use of Big Data in the Distribution and Logistics Field by METI study