FUJITSU LABORATORIES Corporate Profile

Transcript of FUJITSU LABORATORIES Corporate Profile

FUJITSU LABORATORIES LTD.4-1-1 Kamikodanaka, Nakahara-ku, Kawasaki, Kanagawa 211-8588, Japan

TEL.+81-44-754-2613www.fujitsu.com/jp/labs/en/

September 2017

This brochure uses FSC-certified paper, vegetable oil ink, and a waterless printing process that generates no harmful liquids.2017 FUJITSU LABORATORIES LTD. All rights reserved. Printed in Japan

FUJITSU LABORATORIESCorporate Profile
Shigeru SasakiCEOFUJITSU LABORATORIES LTD.

Service-Oriented Connection Integrate various services dynamically and promote Co-creation business

Web Scale ICT Infrastructure Novel ICT architecture toward intelligent cloud era

Core/Front Network Fusion One network virtually connecting all things from physical networks to front-end devices and services

AI (Artificial Intelligence) Make all products, functions and services intelligent through AI

Security Integrated security system protecting cyberspace, IoT, personal identity data, and products

Applied Innovation Research Promote PoC and PoB for new business creation and present early solution

Leading-Edge Basic Research Drive forward R&D challenging the limitations of ICT and generate innovations

Generating Innovations

for the Happiness of People around the World

Hyperconnected Cloud

Leading-Edge Basic Research

Applied Innovation

Research

Applied Innovation

Research

Fujitsu Laboratories mission is to drive the growth of the Fujitsu Group by continuously developing emerging technologies with global application aimed at addressing current and future social issues. With this aim in mind, Fujitsu Labs is researching and developing technologies ranging from advanced materials, next-generation devices, computers, networks, and information and communication technology (ICT) systems to the creation of next-generation solutions, new services, and novel business models.

We are now entering an era where everything will be virtually connected and people, things, information, and services will be digitized for the creation and utilization of new values. The number of terminals connectable to internet will reach approximately 45 octillion (= 1027) per person for the current world population of 7.5 billion. We can say this number is almost infinite in real terms. Moreover, in this connected world, the values generated by ICT also have infinite possibilities.

This explosive increase in the number of connections will raise a number of issues. Further advances in ICT are required. For example, we are facing the limits of complementary metal oxide semiconductor (CMOS) device miniaturization and network transmission capacity, which is currently 100 Tbps (=1014 bps). Data volume will increase exponentially to 1 yottabyte (=1024 bytes) by 2030, the level difficult to handle simply by improving existing technologies. Borderless security problems in cyber space will arise one after another along with the spread of the Internet of Things (IoT).

To break through these difficult challenges, we have to develop new computing architectures, networks, cloud systems, data management systems, artificial intelligence (AI) and security technologies, and integrate all of them as a comprehensive ICT platform.

Fujitsu is providing Connected Services for customers to expand their business and services through cross-industry collaboration, which can create new value cycles, and promoting Digital Co-creation.

Therefore, Fujitsu Labs is also pushing the research and development of technologies to connect wisely, simply, and securely to achieve the Hyperconnected Cloud, which is the future Digital Co-creation Platform and our medium- to long-term vision. Fujitsu Labs has now reached the phase to materialize this vision and put it into practice. Moreover, we are promoting applied innovation research to create business models and services for rapidly implementing cutting-edge technologies in various fields that will contribute to the public happiness and help create a prosperous society. Fujitsu Labs is also conducting leading-edge basic research to solve the problems that require technologies that go beyond todays ICT and computing technologies. The important mission of Fujitsu Labs is to continue to explore research themes that produce impressive and amazing advancements.

In the fall of 2018, Fujitsu Labs will celebrate its 50th anniversary. As a world leader in research and development, we have been generating numerous innovative technologies and contributing to individuals, societies, and businesses, and institutions. We will inherit this DNA of a researcher and keep growing. Along with the other 160,000 employees in the Fujitsu Group, we will drive forward Human Centric Innovation Digital Co-creation for the happiness of people all over the world.

Core/Front Network Fusion


02 FUJITSU LABORATORIES LTD. 03FUJITSU LABORATORIES LTD.
Shigeru SasakiCEOFUJITSU LABORATORIES LTD.

Service-Oriented Connection Integrate various services dynamically and promote Co-creation business

Web Scale ICT Infrastructure Novel ICT architecture toward intelligent cloud era

Core/Front Network Fusion One network virtually connecting all things from physical networks to front-end devices and services

AI (Artificial Intelligence) Make all products, functions and services intelligent through AI

Security Integrated security system protecting cyberspace, IoT, personal identity data, and products

Applied Innovation Research Promote PoC and PoB for new business creation and present early solution

Leading-Edge Basic Research Drive forward R&D challenging the limitations of ICT and generate innovations

Generating Innovations

for the Happiness of People around the World


Leading-Edge Basic Research

Applied Innovation

Research

Applied Innovation

Research

Fujitsu Laboratories mission is to drive the growth of the Fujitsu Group by continuously developing emerging technologies with global application aimed at addressing current and future social issues. With this aim in mind, Fujitsu Labs is researching and developing technologies ranging from advanced materials, next-generation devices, computers, networks, and information and communication technology (ICT) systems to the creation of next-generation solutions, new services, and novel business models.

We are now entering an era where everything will be virtually connected and people, things, information, and services will be digitized for the creation and utilization of new values. The number of terminals connectable to internet will reach approximately 45 octillion (= 1027) per person for the current world population of 7.5 billion. We can say this number is almost infinite in real terms. Moreover, in this connected world, the values generated by ICT also have infinite possibilities.

This explosive increase in the number of connections will raise a number of issues. Further advances in ICT are required. For example, we are facing the limits of complementary metal oxide semiconductor (CMOS) device miniaturization and network transmission capacity, which is currently 100 Tbps (=1014 bps). Data volume will increase exponentially to 1 yottabyte (=1024 bytes) by 2030, the level difficult to handle simply by improving existing technologies. Borderless security problems in cyber space will arise one after another along with the spread of the Internet of Things (IoT).

To break through these difficult challenges, we have to develop new computing architectures, networks, cloud systems, data management systems, artificial intelligence (AI) and security technologies, and integrate all of them as a comprehensive ICT platform.

Fujitsu is providing Connected Services for customers to expand their business and services through cross-industry collaboration, which can create new value cycles, and promoting Digital Co-creation.

Therefore, Fujitsu Labs is also pushing the research and development of technologies to connect wisely, simply, and securely to achieve the Hyperconnected Cloud, which is the future Digital Co-creation Platform and our medium- to long-term vision. Fujitsu Labs has now reached the phase to materialize this vision and put it into practice. Moreover, we are promoting applied innovation research to create business models and services for rapidly implementing cutting-edge technologies in various fields that will contribute to the public happiness and help create a prosperous society. Fujitsu Labs is also conducting leading-edge basic research to solve the problems that require technologies that go beyond todays ICT and computing technologies. The important mission of Fujitsu Labs is to continue to explore research themes that produce impressive and amazing advancements.

In the fall of 2018, Fujitsu Labs will celebrate its 50th anniversary. As a world leader in research and development, we have been generating numerous innovative technologies and contributing to individuals, societies, and businesses, and institutions. We will inherit this DNA of a researcher and keep growing. Along with the other 160,000 employees in the Fujitsu Group, we will drive forward Human Centric Innovation Digital Co-creation for the happiness of people all over the world.



Connected Business Platform

We are conducting R&D on

Connected Platform technologies for

co-creation of new values and services

by dynamically integrating data,

applications, and knowledge

Service-OrientedConnection

API

External services

API

API ComposeDeveloping differentiation parts

Assembly-typedevelopmenttechnology

Function

API

Function

API

Function

API

API Publish

Service creation API

Internal services

Application analysis technology

Existinginternal systems

Refactoring

API

SoE development

Idea

IoT Mobile AI

New businesscreation

Prototyping

PoC

Knowledge Integration

In order to incorporate digital technologies into the core part of business and to succeed in digital transformation that reforms total business structure of enterprises and industries, we have to fuse existing business and digital technologies and promote Digital Co-creation for co-creating new values with ecosystem partners and customers. On this co-creation platform, it is important to connect internal processes and external ecosystem partners services via application programming interface (API).

In Knowledge Integration domain, we are pushing forward with the following R&Ds in preparation for evolution of connected services which is a precondition of Digital Co-creation: a new style

assembly-type application development technology (API Compose) for mashup of internal and external services and data via API, a technology to utilize current applications (API Publish) by organizing functions and data which have been enhanced in the existing business systems for enabling them to be used from outside via API, agile development and continuous improvement of SoE (Systems of Engagement) that connect not only services but also people and things for generating new innovations. With these technologies, we will respond to the needs of customers who are aiming to achieve early digital transformation based on their current business.

Now, we entered the era of Digital Co-Creation Business where all people, things and processes are connected with digital technology for co-creating new values by utilizing information obtained through these connections. On this co-creation platform, in order to offer the safe and secure business opportunities to our customer companies, who can be both service providers and service users, we have to improve not only the service providers values and convenience of service users but also the reliability of this common platform.

In the research domain of Connected Business Platform, we are promoting R&D on various technologies to implement continuously evolvable cloud architecture and services by accumulating and utilizing Fujitsus own operational data, in

addition to incorporating our customers diverse kinds of data concerning IoT, media, business, etc. Highly scalable data store and parallel processing technology enable us to accumulate a large amount of data and its high-speed use. So far, cloud services of IaaS and PaaS were said to be a black box, however, our technology to provide and control these services by using operational API made it possible for our customers to use cloud services according to the operation policy of their own systems. In the development of these software applications, we adopt various OSS and their development methods and system implementation methods for facilitating agile development and commercialization of these technologies.

Knowledge base creation/Data integration

Data structure/access abstraction

Combining/Boosting

Data processing/Automatic tagging

Connected business platform

APIAPIAPIAPI

Fintech Healthcare Mobility ICT automation Security Maintenance

Human Centric Innovation Digital Co-creation

Human CentricInnovation

Digital Co-creation

Accumulating/utilizing values & Growing, and supporting wisely and rapidly

Cloud Data distribution/utilization platform Media OperationSoftware

innovation

Social infrastructure Food/Agriculture Monozukuri (Manufacturing)

Connected Business Platform

We are conducting R&D on

Connected Platform technologies for

co-creation of new values and services

by dynamically integrating data,

applications, and knowledge

Service-OrientedConnection

API

External services

API

API ComposeDeveloping differentiation parts

Assembly-typedevelopmenttechnology

Function

API

Function

API

Function

API

API Publish

Service creation API

Internal services

Application analysis technology

Existinginternal systems

Refactoring

API

SoE development

Idea

IoT Mobile AI

New businesscreation

Prototyping

PoC

Knowledge Integration

In order to incorporate digital technologies into the core part of business and to succeed in digital transformation that reforms total business structure of enterprises and industries, we have to fuse existing business and digital technologies and promote Digital Co-creation for co-creating new values with ecosystem partners and customers. On this co-creation platform, it is important to connect internal processes and external ecosystem partners services via application programming interface (API).

In Knowledge Integration domain, we are pushing forward with the following R&Ds in preparation for evolution of connected services which is a precondition of Digital Co-creation: a new style

assembly-type application development technology (API Compose) for mashup of internal and external services and data via API, a technology to utilize current applications (API Publish) by organizing functions and data which have been enhanced in the existing business systems for enabling them to be used from outside via API, agile development and continuous improvement of SoE (Systems of Engagement) that connect not only services but also people and things for generating new innovations. With these technologies, we will respond to the needs of customers who are aiming to achieve early digital transformation based on their current business.

Now, we entered the era of Digital Co-Creation Business where all people, things and processes are connected with digital technology for co-creating new values by utilizing information obtained through these connections. On this co-creation platform, in order to offer the safe and secure business opportunities to our customer companies, who can be both service providers and service users, we have to improve not only the service providers values and convenience of service users but also the reliability of this common platform.

In the research domain of Connected Business Platform, we are promoting R&D on various technologies to implement continuously evolvable cloud architecture and services by accumulating and utilizing Fujitsus own operational data, in

addition to incorporating our customers diverse kinds of data concerning IoT, media, business, etc. Highly scalable data store and parallel processing technology enable us to accumulate a large amount of data and its high-speed use. So far, cloud services of IaaS and PaaS were said to be a black box, however, our technology to provide and control these services by using operational API made it possible for our customers to use cloud services according to the operation policy of their own systems. In the development of these software applications, we adopt various OSS and their development methods and system implementation methods for facilitating agile development and commercialization of these technologies.

Knowledge base creation/Data integration

Data structure/access abstraction

Combining/Boosting

Data processing/Automatic tagging

Connected business platform

APIAPIAPIAPI

Fintech Healthcare Mobility ICT automation Security Maintenance

Human Centric Innovation Digital Co-creation

Human CentricInnovation

Digital Co-creation

Accumulating/utilizing values & Growing, and supporting wisely and rapidly

Cloud Data distribution/utilization platform Media OperationSoftware

innovation

Social infrastructure Food/Agriculture Monozukuri (Manufacturing)

We are promoting R&D on ICT infrastructure,

platforms and architectures to implement

an intelligent cloud system for

utilizing various types of data in the

information explosion era

Web Scale ICT Infrastructure

Hyperscale Data SystemDomain-Specific/Next-Generation Computing

Network acceleration technologyLow-delay communication technologySDx technology

Software-controlled SSD

Optimization problem

Media processingAI

Optimization

Hardware configuration optimized for specific domain

Compression/Coding

Big data Media processing

Security

FPGA

Non-volatile memory

DL processorGPU

VDI : Virtual Desktop Interface GPU : Graphics Processing Unit FPGA : Field-Programmable Gate Array

SDx : Software-Defined anythingSSD : Solid State Drive

Many core

Software accelerator New device Hardware

VDI

Image codec

Genomics

Similarity search Interconnect

Power source Cooling

Device integration andelectronics packaging

Secu

rity

Fi

nance

Hea

lthcare Delivery Energy Media Meteorology

Dom

ain-sp

ecific

Dom

ain-spec

ific

Domain-specific Domain-specific Domain-specific

Domain-specific computing

New architecture

Fujitsu's cloud system (K5) Other companies' cloud systemsOn-premises system

Services

High-speed Easy-to-manageFlexible

Hyperscale data system

Massive amounts of various types of data

In the world where people and all things ranging from information to services are connected and interlocked, massive amounts of various types of data is generated or scattered in multiple places and each piece of data has its different characteristics. In order to use these pieces of data freely as we like, it is important to simplify the data management and enable to process it flexibly. Therefore, ICT infrastructure and ICT platform across different clouds are required.

In Hyperscale Data System domain, we are conducting R&D on technologies to provide ICT devices such as servers, storages, and networks with performance and functions required in various business fields in addition to SDx technologies to control them by software. Specifically, we are engaging in the development of

low-latency communication technology to realize ultra-high-speed transaction processing based on supercomputer technology, and software-controlled SSD that can use flash memory efficiently according to the application requirements, and acceleration technology to offload the virtualized software network functions to hardware.

Users of Hyperscale Data System can flexibly manage and utilize continuously increasing massive amount of data, and moreover, can use high-performance functions which were conventionally provided by dedicated devices. As a result, this system enables quick delivery or utilization of new services and drastic reduction of operation cost.

In IoT era, as huge volumes of data is being generated continuously from a variety of sensors and devices, it is indispensable for us to process massive data at high speed. On the other hand, as we are almost reaching the limits of general servers performance improvement based on conventional semiconductor device miniaturization technology (the end of Moores Law), a new architecture or computing paradigm to process unceasingly increasing large amounts of data is required. FLL has long been presenting new computing architectures to the world and we are now promoting the following activities for the upcoming era.

In Domain-specific/Next-generation computing field, we are proceeding with R&D of a next-generation architecture that can attain extremely high performance by specializing and optimizing

its function in certain domain such as artificial intelligence, media processing, etc. which will become very important in the future, by using FPGA , GPU or dedicated processing devices. We are also challenging the R&D of a processor for Deep Learning that will speed up AI processing.

As well as development of innovative architectures, we are also engaging in R&D of packaging technologies for highly integrated and power saving hardware, and technologies for efficient server control in datacenters.

In Domain-specific/Next-generation computing, we will continue developing new architectures and hardware packaging technologies to meet growing demand for high-performance computing resources.

We are promoting R&D on ICT infrastructure,

platforms and architectures to implement

an intelligent cloud system for

utilizing various types of data in the

information explosion era

Web Scale ICT Infrastructure

Hyperscale Data SystemDomain-Specific/Next-Generation Computing

Network acceleration technologyLow-delay communication technologySDx technology

Software-controlled SSD

Optimization problem

Media processingAI

Optimization

Hardware configuration optimized for specific domain

Compression/Coding

Big data Media processing

Security

FPGA

Non-volatile memory

DL processorGPU

VDI : Virtual Desktop Interface GPU : Graphics Processing Unit FPGA : Field-Programmable Gate Array

SDx : Software-Defined anythingSSD : Solid State Drive

Many core

Software accelerator New device Hardware

VDI

Image codec

Genomics

Similarity search Interconnect

Power source Cooling

Device integration andelectronics packaging

Secu

rity

Fi

nance

Hea

lthcare Delivery Energy Media Meteorology

Dom

ain-sp

ecific

Dom

ain-spec

ific

Domain-specific Domain-specific Domain-specific

Domain-specific computing

New architecture

Fujitsu's cloud system (K5) Other companies' cloud systemsOn-premises system

Services

High-speed Easy-to-manageFlexible

Hyperscale data system

Massive amounts of various types of data

In the world where people and all things ranging from information to services are connected and interlocked, massive amounts of various types of data is generated or scattered in multiple places and each piece of data has its different characteristics. In order to use these pieces of data freely as we like, it is important to simplify the data management and enable to process it flexibly. Therefore, ICT infrastructure and ICT platform across different clouds are required.

In Hyperscale Data System domain, we are conducting R&D on technologies to provide ICT devices such as servers, storages, and networks with performance and functions required in various business fields in addition to SDx technologies to control them by software. Specifically, we are engaging in the development of

low-latency communication technology to realize ultra-high-speed transaction processing based on supercomputer technology, and software-controlled SSD that can use flash memory efficiently according to the application requirements, and acceleration technology to offload the virtualized software network functions to hardware.

Users of Hyperscale Data System can flexibly manage and utilize continuously increasing massive amount of data, and moreover, can use high-performance functions which were conventionally provided by dedicated devices. As a result, this system enables quick delivery or utilization of new services and drastic reduction of operation cost.

In IoT era, as huge volumes of data is being generated continuously from a variety of sensors and devices, it is indispensable for us to process massive data at high speed. On the other hand, as we are almost reaching the limits of general servers performance improvement based on conventional semiconductor device miniaturization technology (the end of Moores Law), a new architecture or computing paradigm to process unceasingly increasing large amounts of data is required. FLL has long been presenting new computing architectures to the world and we are now promoting the following activities for the upcoming era.

In Domain-specific/Next-generation computing field, we are proceeding with R&D of a next-generation architecture that can attain extremely high performance by specializing and optimizing

its function in certain domain such as artificial intelligence, media processing, etc. which will become very important in the future, by using FPGA , GPU or dedicated processing devices. We are also challenging the R&D of a processor for Deep Learning that will speed up AI processing.

As well as development of innovative architectures, we are also engaging in R&D of packaging technologies for highly integrated and power saving hardware, and technologies for efficient server control in datacenters.

In Domain-specific/Next-generation computing, we will continue developing new architectures and hardware packaging technologies to meet growing demand for high-performance computing resources.

We are promoting R&D on technology to

integrate various kinds of networks

existing from core network to

IoT field-areas through

virtualization for easily connect

people, things, and services

Core/FrontNetwork Fusion

One Network IoT Integration

Creation of on-site system API

Securedata distribution

Event-drivenexecution Process optimization

Wireless communication visualization

Wireless comm. failure detection

Wireless comm. optimization control

Secureconnection control

Functional services

Application services

Real world information (person, thing, site)

Actual site

Real world service platform

Field Area Network technology

BLE : Bluetooth Low Energy LPWA : Low Power Wide Area

Manufacturing Logistics Retail Healthcare Social infrastructure

Wi-Fi, BLE, LPWA,Multi-hop wireless communication

High-capacity

Ultra-high-speed/High-efficiency

Next-generation optical communication

Ultra-low-latency

Orchestration/Service connection

One Network

Virtualization

People, things, events

Business site

Service

System

Cloud

Network function resources Wireless network resourcesOptical network resources

Business Smart factory Automated driving Video distributionHealthcare

5G wireless communication system

For further acceleration of rapidly spreading digital transformation, in addition to digitizing the systems of each site, we have to connect them with broader business systems and services for realizing the world where various kinds of information on people and things are seamlessly circulated for new value creation. For achieving this connected world, in IoT Integration, we are focusing on R&D of the following two domains.

Real world service platform is a cloud platform for realizing data distribution among diverse systems. For example, when retail and manufacturing systems are connected, if stock quantity of a certain product in retail stores becomes short, this information is sent to the relevant factory system to automatically start its production, or the actual operation data obtained from it can be used for optimization of whole production process in the factory. For realizing such a system, we are engaging in the development of a new cloud platform that can manage real world information

digitized on a basis of a person, thing and site, and automate the data exchange and distribution via API.

Field area network technology connects the real world service platform and on-site systems safely and securely. On actual sites, along with increased use of wireless communication devices such as Wi-Fi, BLE, LPWA, etc., various problems that hinder smooth communication are coming up such as interference caused by mixture of wireless communication systems with different standards, shielding or congestion due to environmental changes. Therefore, we are trying to develop a technology to connect on-site systems simply and securely through diversified wireless systems, by summarizing and instantaneously visualizing the wireless communication status of multiple systems with different communication standards, and detecting a fault and autonomously controlling the target system according to the status of a problem.

In digital transformation era, it is required to connect people and things in the real world and services in the virtual world in a prompt manner to meet the requests of people and companies. However, we need to go through complicated procedures and spend much time to do so because it is necessary to connect many different types of networks such as field-area, enterprise on-premises, cloud, public, or private networks.

One Network is a dynamic network that provides easy connections among people, things, and services using sensors or devices without network expertise, and it changes the connection according to the various demands. In order to realize One Network , we are engaged in the development of technologies to design, configure, and operate the entire network automatically or simply, as well as the technologies to hide the complexity of the network and isolate the target network resources for connecting

them securely (orchestration/service connection).In wireless communications field where further broadband

enhancement is required, we are proceeding with the development of the fifth-generation (5G) mobile communication systems, including high-capacity transmission that enables to connect 50 billion or more wireless devices simultaneously, or ultra-low-latency that enables automated driving. We also engage in the development of optical network technologies which are expected to address explosive traffic increase in everywhere, such as datacenters, 5G wireless communication networks, etc. in digital transformation era. The requirements for such optical networks are not only to realize ultra-high speed and high efficiency networking, but also to realize its smooth operation and management in heterogeneous open environment where many pieces of equipment from different vendors are mixed and used together.

We are promoting R&D on technology to

integrate various kinds of networks

existing from core network to

IoT field-areas through

virtualization for easily connect

people, things, and services

Core/FrontNetwork Fusion

One Network IoT Integration

Creation of on-site system API

Securedata distribution

Event-drivenexecution Process optimization

Wireless communication visualization

Wireless comm. failure detection

Wireless comm. optimization control

Secureconnection control

Functional services

Application services

Real world information (person, thing, site)

Actual site

Real world service platform

Field Area Network technology

BLE : Bluetooth Low Energy LPWA : Low Power Wide Area

Manufacturing Logistics Retail Healthcare Social infrastructure

Wi-Fi, BLE, LPWA,Multi-hop wireless communication

High-capacity

Ultra-high-speed/High-efficiency

Next-generation optical communication

Ultra-low-latency

Orchestration/Service connection

One Network

Virtualization

People, things, events

Business site

Service

System

Cloud

Network function resources Wireless network resourcesOptical network resources

Business Smart factory Automated driving Video distributionHealthcare

5G wireless communication system

For further acceleration of rapidly spreading digital transformation, in addition to digitizing the systems of each site, we have to connect them with broader business systems and services for realizing the world where various kinds of information on people and things are seamlessly circulated for new value creation. For achieving this connected world, in IoT Integration, we are focusing on R&D of the following two domains.

Real world service platform is a cloud platform for realizing data distribution among diverse systems. For example, when retail and manufacturing systems are connected, if stock quantity of a certain product in retail stores becomes short, this information is sent to the relevant factory system to automatically start its production, or the actual operation data obtained from it can be used for optimization of whole production process in the factory. For realizing such a system, we are engaging in the development of a new cloud platform that can manage real world information

digitized on a basis of a person, thing and site, and automate the data exchange and distribution via API.

Field area network technology connects the real world service platform and on-site systems safely and securely. On actual sites, along with increased use of wireless communication devices such as Wi-Fi, BLE, LPWA, etc., various problems that hinder smooth communication are coming up such as interference caused by mixture of wireless communication systems with different standards, shielding or congestion due to environmental changes. Therefore, we are trying to develop a technology to connect on-site systems simply and securely through diversified wireless systems, by summarizing and instantaneously visualizing the wireless communication status of multiple systems with different communication standards, and detecting a fault and autonomously controlling the target system according to the status of a problem.

In digital transformation era, it is required to connect people and things in the real world and services in the virtual world in a prompt manner to meet the requests of people and companies. However, we need to go through complicated procedures and spend much time to do so because it is necessary to connect many different types of networks such as field-area, enterprise on-premises, cloud, public, or private networks.

One Network is a dynamic network that provides easy connections among people, things, and services using sensors or devices without network expertise, and it changes the connection according to the various demands. In order to realize One Network , we are engaged in the development of technologies to design, configure, and operate the entire network automatically or simply, as well as the technologies to hide the complexity of the network and isolate the target network resources for connecting

them securely (orchestration/service connection).In wireless communications field where further broadband

enhancement is required, we are proceeding with the development of the fifth-generation (5G) mobile communication systems, including high-capacity transmission that enables to connect 50 billion or more wireless devices simultaneously, or ultra-low-latency that enables automated driving. We also engage in the development of optical network technologies which are expected to address explosive traffic increase in everywhere, such as datacenters, 5G wireless communication networks, etc. in digital transformation era. The requirements for such optical networks are not only to realize ultra-high speed and high efficiency networking, but also to realize its smooth operation and management in heterogeneous open environment where many pieces of equipment from different vendors are mixed and used together.

We engage in R&D on the human-centric AI technology

that provides the services utilizing the information

in the knowledge base accumulated

by intelligent ICT systems, and that can

understand the human emotions

and feelings

AI

AI

In Knowledge organization, in order to structurize various kinds of data and knowledge all over the world and to generate knowledge base for AI, we are developing a technology to implement a knowledge graph, which is a graph-type knowledge base, by automatically extracting the contents or co-relations among data inside each company, Web data, and knowledge obtained through DL, and summarizing them as Linked Data that can express their diversified relations as a graph. We are also promoting the development of a technology to generate new knowledge from knowledge graph and enhance this knowledge base by using Deep Tensor, as well as research for providing readily available AI by creating and reusing a common knowledge base for each applicable scene such as business type or job type to reduce the cost of knowledge base construction.

In Knowledge creation, we are conducting R&D on the methods for automating and supporting business decision-making such as prediction, optimization and simulation based on acquired knowledge. We are also developing a technology to simulate all possible cases in advance to address unprecedented and unexpected situations, a technology to implement AI that can cooperate with people by recognizing the people s intentions and affects (emotions, feelings, etc.) in addition to logical problem solving, and other cutting-edge technologies such as brain science and discovery science for implementing utterly new AI.

Besides these three key technologies, we are proceeding with practical research for creating a new solution to automate or support enterprise and personal activities with AI and expand the applicable scope of AI.

Through advanced ICT performance and progress of machine learning, etc., utilization of AI has been expanding rapidly in various fields in the society for supporting human decision-making and activities. For its actual use in the business and society, we are promoting the research in the following three domains: Knowledge acquisition for generating useful knowledge from huge amounts of data, Knowledge organization for structuring the obtained knowledge and the vast and diverse knowledge held by human beings to enable its unrestricted use by ICT, and Knowledge creation for implementing AI by using structured knowledge and generating further new information and knowledge for AI.

In Knowledge acquisition, we are developing a technology to extend Deep Learning (DL) to be applied to various kinds of

data which is generated through business activities and personal or social events such as transaction data, time-series data, in addition to the conventional image and audio processing data. And we are especially focusing on the development of Deep Tensor, which is a technology to obtain the knowledge from graph data and a new machine learning technology for not only increasing the data variety to be handled by DL but for generating new knowledge required for AI by combining multiple data, and are facilitating commercialization in various fields such as finance, healthcare, security, etc. We are also developing technologies to utilize DL in actual business scenes such as machine learning from insufficient data, which is the most crucial problem in DL adoption, and a new hardware architecture and environment to execute high-speed processing of large-scale DL.

Massive amounts of media data and five sense information collected by sensing in the real world

Vast knowledge scattered around the world that is produced by human beings

Knowledge creation

Knowledge creation

Knowledge acquisitionKnowledge acquisition

Knowledge organizationKnowledge organization

LearningLearning

Knowledgebase construction


Judgment/Support

Judgment/Support

Perception/RecognitionPerception/Recognition

Discovery science

AI that is highly acceptable to society

FintechWorkplace/Daily life

Customer centerHealthcareMobilitySocial infrastructure

Maintenance Food/Agriculture

Digitalmarketing

ManufacturingLogistics

Learning new knowledge as graph-structured dataLearning new knowledge as graph-structured data

Deep TensorDeep TensorRepresenting the relations

among multiple data on the graphRepresenting the relations

among multiple data on the graph

Knowledge graphKnowledge graph

Growing knowledge base with knowledge graph and Deep Tensor

Adding learning results as new knowledge, expand and refine the knowledge database

Mathem

atical approach Computing

Brai

n scie

nce

We engage in R&D on the human-centric AI technology

that provides the services utilizing the information

in the knowledge base accumulated

by intelligent ICT systems, and that can

understand the human emotions

and feelings

AI

AI

In Knowledge organization, in order to structurize various kinds of data and knowledge all over the world and to generate knowledge base for AI, we are developing a technology to implement a knowledge graph, which is a graph-type knowledge base, by automatically extracting the contents or co-relations among data inside each company, Web data, and knowledge obtained through DL, and summarizing them as Linked Data that can express their diversified relations as a graph. We are also promoting the development of a technology to generate new knowledge from knowledge graph and enhance this knowledge base by using Deep Tensor, as well as research for providing readily available AI by creating and reusing a common knowledge base for each applicable scene such as business type or job type to reduce the cost of knowledge base construction.

In Knowledge creation, we are conducting R&D on the methods for automating and supporting business decision-making such as prediction, optimization and simulation based on acquired knowledge. We are also developing a technology to simulate all possible cases in advance to address unprecedented and unexpected situations, a technology to implement AI that can cooperate with people by recognizing the people s intentions and affects (emotions, feelings, etc.) in addition to logical problem solving, and other cutting-edge technologies such as brain science and discovery science for implementing utterly new AI.

Besides these three key technologies, we are proceeding with practical research for creating a new solution to automate or support enterprise and personal activities with AI and expand the applicable scope of AI.

Through advanced ICT performance and progress of machine learning, etc., utilization of AI has been expanding rapidly in various fields in the society for supporting human decision-making and activities. For its actual use in the business and society, we are promoting the research in the following three domains: Knowledge acquisition for generating useful knowledge from huge amounts of data, Knowledge organization for structuring the obtained knowledge and the vast and diverse knowledge held by human beings to enable its unrestricted use by ICT, and Knowledge creation for implementing AI by using structured knowledge and generating further new information and knowledge for AI.

In Knowledge acquisition, we are developing a technology to extend Deep Learning (DL) to be applied to various kinds of

data which is generated through business activities and personal or social events such as transaction data, time-series data, in addition to the conventional image and audio processing data. And we are especially focusing on the development of Deep Tensor, which is a technology to obtain the knowledge from graph data and a new machine learning technology for not only increasing the data variety to be handled by DL but for generating new knowledge required for AI by combining multiple data, and are facilitating commercialization in various fields such as finance, healthcare, security, etc. We are also developing technologies to utilize DL in actual business scenes such as machine learning from insufficient data, which is the most crucial problem in DL adoption, and a new hardware architecture and environment to execute high-speed processing of large-scale DL.

Massive amounts of media data and five sense information collected by sensing in the real world

Vast knowledge scattered around the world that is produced by human beings

Knowledge creation

Knowledge creation

Knowledge acquisitionKnowledge acquisition

Knowledge organizationKnowledge organization

LearningLearning



Judgment/Support

Judgment/Support

Perception/RecognitionPerception/Recognition

Discovery science

AI that is highly acceptable to society

FintechWorkplace/Daily life

Customer centerHealthcareMobilitySocial infrastructure

Maintenance Food/Agriculture

Digitalmarketing

ManufacturingLogistics

Learning new knowledge as graph-structured dataLearning new knowledge as graph-structured data

Deep TensorDeep TensorRepresenting the relations

among multiple data on the graphRepresenting the relations

among multiple data on the graph

Knowledge graphKnowledge graph

Growing knowledge base with knowledge graph and Deep Tensor

Adding learning results as new knowledge, expand and refine the knowledge database

Mathem

atical approach Computing

Brai

n scie

nce

IoT

Fintech

Digital marketing

We are promoting R&D on the technology

to implement the security system to guarantee

the security of cyber system, IoT,

personal identity data and products,

and to combine them

on the cloud platform

Security

Security

In order to guarantee the safe and secure operation of our customers core digital business systems, cyber security measures are indispensable. Not only preliminary protective measures, but we also have to assure quick recovery without stopping customer systems even if their systems are damaged by cyberattack, by utilizing various insights obtained through AI, psychology, etc.

During the course of diversification of services such as Fintech, for using it safely everywhere, we have to provide authentication and authorization system that can surely control ICT system by identifying each person and thing. We also have to hasten the development of biometric authentication technology such as palm vein authentication and fingerprint authentication, as well as a key technology to protect biometric data for expanding its domain of applicability, and at the same time, we are trying to

enhance services and solutions such as authentication platform on the cloud.

Connecting a variety of data and using it among multiple organizations enables new digital business co-creation. Here, Connecting technology to obtain the relevant data of a person and things becomes essential. And we are developing the privacy protection measures such as anonymization that can conform to tighten up laws and regulations, blockchain that enables immutable data sharing of currency, a transaction ledger, etc., and operation and system security functions for secure utilization of IoT data.

With these technologies, we will support safe and secure business of our customers in digital era.

Today, the whole world is rapidly shifting to a digital society where all people, things and processes are connected, and it becomes indispensable for us to take security measures to protect personal privacy and important information from malware threats when using a variety of useful data, as well as to minimize the cyberattack damage.

Security is a technology to support the foundation of business activities and it is our key differentiation point from competitors in all kinds of business. Therefore, Fujitsu is aiming to become a major vendor in security domain by providing safe and secure products, platforms, services and solutions to customers. For this

achievement, not only protecting customer systems as same as before but from now on, we have to protect their business itself, and furthermore, their whole ecosystem.

At Fujitsu Labs, while protecting customer systems and their significant information from malicious threats, we are pushing forward with R&D in the fields of cyber security, authentication & authorization, privacy & data security, and IoT security by establishing cutting-edge security technologies for business growth that utilize the data securely to expand the business opportunities with customers.

Auth platform Auth platform


IoT security

Anonymization/Data encryption

Blockchain Personal Data Store

Provisioning

AI security

Authentication/Authorization

Privacy and Data security

Cyber security

IoT security


Cyber security


Service company

Currency/Ledger

IoT devices

Recovery

IsolationDetection

Analysis

Personal data

Privacy risk assessment

Information utilizationSecure connection

Secure acquisition

Authplatform

Biometric authenticationBiometric data protection

ID management

FederationAuthentication/Authorization

Fintech and other services

Businesssystem Database

k-anonymization

Anonymization

Marketing company

Anonymizedinformation

AI dataanalysis

Industrial IoT Mobility

Fintech Digital marketingBlockchain

IoT

Fintech

Digital marketing

We are promoting R&D on the technology

to implement the security system to guarantee

the security of cyber system, IoT,

personal identity data and products,

and to combine them

on the cloud platform

Security

Security

In order to guarantee the safe and secure operation of our customers core digital business systems, cyber security measures are indispensable. Not only preliminary protective measures, but we also have to assure quick recovery without stopping customer systems even if their systems are damaged by cyberattack, by utilizing various insights obtained through AI, psychology, etc.

During the course of diversification of services such as Fintech, for using it safely everywhere, we have to provide authentication and authorization system that can surely control ICT system by identifying each person and thing. We also have to hasten the development of biometric authentication technology such as palm vein authentication and fingerprint authentication, as well as a key technology to protect biometric data for expanding its domain of applicability, and at the same time, we are trying to

enhance services and solutions such as authentication platform on the cloud.

Connecting a variety of data and using it among multiple organizations enables new digital business co-creation. Here, Connecting technology to obtain the relevant data of a person and things becomes essential. And we are developing the privacy protection measures such as anonymization that can conform to tighten up laws and regulations, blockchain that enables immutable data sharing of currency, a transaction ledger, etc., and operation and system security functions for secure utilization of IoT data.

With these technologies, we will support safe and secure business of our customers in digital era.

Today, the whole world is rapidly shifting to a digital society where all people, things and processes are connected, and it becomes indispensable for us to take security measures to protect personal privacy and important information from malware threats when using a variety of useful data, as well as to minimize the cyberattack damage.

Security is a technology to support the foundation of business activities and it is our key differentiation point from competitors in all kinds of business. Therefore, Fujitsu is aiming to become a major vendor in security domain by providing safe and secure products, platforms, services and solutions to customers. For this

achievement, not only protecting customer systems as same as before but from now on, we have to protect their business itself, and furthermore, their whole ecosystem.

At Fujitsu Labs, while protecting customer systems and their significant information from malicious threats, we are pushing forward with R&D in the fields of cyber security, authentication & authorization, privacy & data security, and IoT security by establishing cutting-edge security technologies for business growth that utilize the data securely to expand the business opportunities with customers.

Auth platform Auth platform


IoT security

Anonymization/Data encryption

Blockchain Personal Data Store

Provisioning

AI security



Cyber security

IoT security


Cyber security


Service company

Currency/Ledger

IoT devices

Recovery

IsolationDetection

Analysis

Personal data

Privacy risk assessment

Information utilizationSecure connection

Secure acquisition

Authplatform

Biometric authenticationBiometric data protection

ID management

FederationAuthentication/Authorization

Fintech and other services

Businesssystem Database

k-anonymization

Anonymization

Marketing company

Anonymizedinformation

AI dataanalysis

Industrial IoT Mobility

Fintech Digital marketingBlockchain

We are conducting applied innovation research

to create business models and services

for social implementation

of emerging technologies that

benefit people and society

AppliedInnovation Research

We are promoting R&D on

cutting-edge technologies

that can break through

the limitations of ICT

for solving new social issues

Leading-EdgeBasic Research

Applied Innovation Research Leading-Edge Basic Research

Social infrastructure Sports Tourism/Regional revitalization

Mobility Monozukuri (manufacturing) Healthcare

Mat

eria

ls in

form

atic

s

Phys

ical

& C

hem

ical

Next-gen HCI for understanding human emotions/psychology

Nine-Sensecomputing

Ultra-high-speed data communications (over 100Tbps)

Network Architecture

Human Centric MaaSMobility as a Service that connects transportation and services focused on people

Shared vehicle

Drone for bridge inspection

Scoring support system in gymnastics competition by 3D sensing

Infra 3D modeling technology & Mobile inspection system

Self-driving car Railway Vessel Airplane

Central/Localgovernments

TourismCommercialfacilities

Healthcare/Insurance

Production LogisticsDesigning Maintenance

Large-scale problem optimization

Manufacturing data modelingConnected manufacturing platform

IoT data

Factory ProductsOperation Environment

Home GymHospitalSupport for personalized

diagnosis along with daily condition care

Physical

Cyber

Autonomous problem solving AI

Social Science

Digital annealerQuantum computing

Computing Architecture

Finding risks in daily life Support for motor-function improvement

3D sensor

Consumers

Serviceprovider

Place owner

Leading-edge basic research to overcome ICT limitations

People

Patient's motion/condition digitization

Motion sensorSmartphone Vital sensorEnvironment sensor

*) This work was supported by Council for Science, Technology and Innovation, Cross-ministerial Strategic Innovation Promotion Program (SIP), Infrastructure Maintenance, Renovation, and Management. (Funding agency: NEDO)

Place-based business, Ecosystem

Logs

Service improvement

Automatic service distributionaccording to time, place and occasion

Activity data accumulation

ICT evolution brought us the dramatic performance improvement and energy saving in information devices, and a supercomputer of the past transformed into a smartphone and network advancement enabled us to connect the whole world through information, and now we can enjoy a variety of services everywhere in the world. AI technology has also improved tremendously and it is applied to new services in various fields. To realize innovative products and services, Fujitsu Labs has been challenging the following basic research continuously and has been leading the development of cutting-edge technologies all the time.

In the field of Computing Architecture, we are pushing forward with the development of a digital annealer to rapidly solve a large-scale combinatorial optimization problem that cannot be handled by general-purpose computers, as well as the development of quantum computing technology. In the field of Network Architecture, we are promoting the development of ultra-high-speed data communication technology to break through

the physical limit of communication capacity and implement an integrated networking system. And in Social Science, we are trying to realize the next-generation AI that can by itself find, analyze, verify and solve various problems concerning social phenomena, economic changes, etc. In the field of Nine-Sensecomputing, based on digitization of human five senses, we are conducting the research on intuition, illusion, desire and compathy to implement the next-generation Human Computer Interaction (HCI) that can understand the human feelings and emotions. Moreover, in the field of Physical & Chemical, we engage in the research on Materials Informatics that connects physics and chemistry with ICT for finding new materials and drastically increasing device performance and energy efficiency.

While working on these kinds of leading-edge basic research, we aim at realizing the future Cyber Physical System (CPS) that connects all people, things, information and services for full utilization of IoT and AI.

For exploring new markets of ICT, we are trying to achieve innovation and create new business by fusing technologies and business models for the fields where digital transformation is expected such as mobility, Monozukuri (manufacturing), healthcare, etc.

In mobility field, we are aiming to realize Mobility as a Service that optimally connects a variety of services concerning movements of people including self-driving function.

In Monozukuri, we are developing an optimal manufacturing system that connects information on all processes from designing, production to supply chain management.

In healthcare, we try to implement data-driven healthcare that can improve quality of healthcare by supporting clinicians awareness with digitalization of the progress of a disease or the

recovery status of patients by analyzing the sensing data capturing patients behavior or status referring to the medical records.

We are also challenging the development of a variety of new markets through creation of social infrastructure maintenance and management business that, e.g. checks and keeps deterioration status of structures such as bridge as 3D data for self-diagnosis and deterioration prediction, creation of sports-related business based on ICT for assisting athletes, trainers, judges to improve the qualities of their performance or roles, and entertaining spectators by showing how athletes performance are excellent, establishment of financial transaction system using blockchain, and creation of tourism and regional town revitalization business that can provide several appropriate services automatically according to time, place and occasion.

We are conducting applied innovation research

to create business models and services

for social implementation

of emerging technologies that

benefit people and society

AppliedInnovation Research

We are promoting R&D on

cutting-edge technologies

that can break through

the limitations of ICT

for solving new social issues

Leading-EdgeBasic Research

Applied Innovation Research Leading-Edge Basic Research

Social infrastructure Sports Tourism/Regional revitalization

Mobility Monozukuri (manufacturing) Healthcare

Mat

eria

ls in

form

atic

s

Phys

ical

& C

hem

ical

Next-gen HCI for understanding human emotions/psychology

Nine-Sensecomputing

Ultra-high-speed data communications (over 100Tbps)

Network Architecture

Human Centric MaaSMobility as a Service that connects transportation and services focused on people

Shared vehicle

Drone for bridge inspection

Scoring support system in gymnastics competition by 3D sensing

Infra 3D modeling technology & Mobile inspection system

Self-driving car Railway Vessel Airplane

Central/Localgovernments

TourismCommercialfacilities

Healthcare/Insurance

Production LogisticsDesigning Maintenance

Large-scale problem optimization

Manufacturing data modelingConnected manufacturing platform

IoT data

Factory ProductsOperation Environment

Home GymHospitalSupport for personalized

diagnosis along with daily condition care

Physical

Cyber

Autonomous problem solving AI

Social Science

Digital annealerQuantum computing

Computing Architecture

Finding risks in daily life Support for motor-function improvement

3D sensor

Consumers

Serviceprovider

Place owner

Leading-edge basic research to overcome ICT limitations

People

Patient's motion/condition digitization

Motion sensorSmartphone Vital sensorEnvironment sensor

*) This work was supported by Council for Science, Technology and Innovation, Cross-ministerial Strategic Innovation Promotion Program (SIP), Infrastructure Maintenance, Renovation, and Management. (Funding agency: NEDO)

Place-based business, Ecosystem

Logs

Service improvement

Automatic service distributionaccording to time, place and occasion

Activity data accumulation

ICT evolution brought us the dramatic performance improvement and energy saving in information devices, and a supercomputer of the past transformed into a smartphone and network advancement enabled us to connect the whole world through information, and now we can enjoy a variety of services everywhere in the world. AI technology has also improved tremendously and it is applied to new services in various fields. To realize innovative products and services, Fujitsu Labs has been challenging the following basic research continuously and has been leading the development of cutting-edge technologies all the time.

In the field of Computing Architecture, we are pushing forward with the development of a digital annealer to rapidly solve a large-scale combinatorial optimization problem that cannot be handled by general-purpose computers, as well as the development of quantum computing technology. In the field of Network Architecture, we are promoting the development of ultra-high-speed data communication technology to break through

the physical limit of communication capacity and implement an integrated networking system. And in Social Science, we are trying to realize the next-generation AI that can by itself find, analyze, verify and solve various problems concerning social phenomena, economic changes, etc. In the field of Nine-Sensecomputing, based on digitization of human five senses, we are conducting the research on intuition, illusion, desire and compathy to implement the next-generation Human Computer Interaction (HCI) that can understand the human feelings and emotions. Moreover, in the field of Physical & Chemical, we engage in the research on Materials Informatics that connects physics and chemistry with ICT for finding new materials and drastically increasing device performance and energy efficiency.

While working on these kinds of leading-edge basic research, we aim at realizing the future Cyber Physical System (CPS) that connects all people, things, information and services for full utilization of IoT and AI.

For exploring new markets of ICT, we are trying to achieve innovation and create new business by fusing technologies and business models for the fields where digital transformation is expected such as mobility, Monozukuri (manufacturing), healthcare, etc.

In mobility field, we are aiming to realize Mobility as a Service that optimally connects a variety of services concerning movements of people including self-driving function.

In Monozukuri, we are developing an optimal manufacturing system that connects information on all processes from designing, production to supply chain management.

In healthcare, we try to implement data-driven healthcare that can improve quality of healthcare by supporting clinicians awareness with digitalization of the progress of a disease or the

recovery status of patients by analyzing the sensing data capturing patients behavior or status referring to the medical records.

We are also challenging the development of a variety of new markets through creation of social infrastructure maintenance and management business that, e.g. checks and keeps deterioration status of structures such as bridge as 3D data for self-diagnosis and deterioration prediction, creation of sports-related business based on ICT for assisting athletes, trainers, judges to improve the qualities of their performance or roles, and entertaining spectators by showing how athletes performance are excellent, establishment of financial transaction system using blockchain, and creation of tourism and regional town revitalization business that can provide several appropriate services automatically according to time, place and occasion.

Overview: Global R&D Sites

Workshops and technology exhibits at the annual Fujitsu North America Technology Forum hosted by Fujitsu Laboratories of America

Novel neuro-computing technology for implementingvarious AI-based services, etc. with power saving performance

Programmable optical packet virtual network technology which realizes rapid and flexible change of configuration for new network services

High-accuracy Image recognition technology adopting AI for intelligent transportation system that automatically detects the traffic jam, traffic rule observance status, and parking lot usage status

Combining partial scans of large-format historical documentsby non-contact scanner to create full images for historicaldocument digitization

Fujitsu R&D Center Co., Ltd.Collaborating with laboratories in Japan, we are conducting

R&D on networking, AI, knowledge processing, etc., as well as

supporting the commercialization of technologies originated in

Japan. We also engage in R&D on technologies specific to

regional needs such as social infrastructure (traffic monitoring,

air and water environments) and cultural promotion (protection

of historical documents), etc. for further generation of

China-originated innovative solutions.

Chinese Technology Forum (CTF) on leading-edgetechnologies held by FRDC every year

FUJITSU LABORATORIES

Integrated analysis offinancial information

Relationship diagram(People/Org) Time-series data

Analysis engineDeep Learning Graph analysis Social mediaanalysis

ID integration

Metadata processing

ID reconciliation

Storage

Craw

ler

Open Data

Private data

Financial statements

Intra-company data

Stock price Web/SNS

Legal Entity IdentifierVisualization

SDNApp

NewApp

SPN-enabled Network

Cloud App

NetworkOperator

CloudProvider

Virtual Network Object(VNO)Pool VNO Arbiter

VNO1 VNO2 VNO3 VNO4 NetKAT Compiler

ResourceManager

VNMapping

SPN(Software-programmed Networking)OS

Through collaboration among domestic and global laboratories,

we are advancing R&D on the leading-edge technologies and

carrying out field trials which are difficult to be executed

due to regulations inside Japan

Fujitsu Laboratories of America, Inc.Leveraging the advantages of its strategic office locations in the U.S. (Silicon Valley in California and Telecom Corridor in Texas) where

world-class advanced technologies and new services, disruptive innovations are tried ahead of other nations, we investigate the latest

technology trends, undertake research in emerging technologies including next-generation computing architecture, programmable network

architecture, software verification and autonomous patching, next-generation cryptography, etc. and promote open innovation by

collaborating with universities and startups.

Assessment of potential risks of each patient based on the 36 thousand patients data and the medical open data including more than a million papers, which is a technology co-created with San Carlos hospital in Spain

Awarding ceremony of Linked Open Data Competition at Fujitsu Innovation Gathering an event hosted by Fujitsu Laboratories of Europe

Data reconciliation system unifying various expressions of single entity by analyzing and integrating diverse financial information in banks and/or financial supervisory institutions

Fujitsu Laboratories of Europe Ltd.We are promoting co-creation with customers/partners to open up new businesses in EMEIA [Europe, the Middle East, India and Africa] based

on our cutting-edge technologies such as artificial intelligence and big data analytics. FLE is also vigorously engaged in standardization

activities for the fifth-generation (5G) mobile communication systems.

Overview: Global R&D Sites

Workshops and technology exhibits at the annual Fujitsu North America Technology Forum hosted by Fujitsu Laboratories of America

Novel neuro-computing technology for implementingvarious AI-based services, etc. with power saving performance

Programmable optical packet virtual network technology which realizes rapid and flexible change of configuration for new network services

High-accuracy Image recognition technology adopting AI for intelligent transportation system that automatically detects the traffic jam, traffic rule observance status, and parking lot usage status

Combining partial scans of large-format historical documentsby non-contact scanner to create full images for historicaldocument digitization

Fujitsu R&D Center Co., Ltd.Collaborating with laboratories in Japan, we are conducting

R&D on networking, AI, knowledge processing, etc., as well as

supporting the commercialization of technologies originated in

Japan. We also engage in R&D on technologies specific to

regional needs such as social infrastructure (traffic monitoring,

air and water environments) and cultural promotion (protection

of historical documents), etc. for further generation of

China-originated innovative solutions.

Chinese Technology Forum (CTF) on leading-edgetechnologies held by FRDC every year

FUJITSU LABORATORIES

Integrated analysis offinancial information

Relationship diagram(People/Org) Time-series data

Analysis engineDeep Learning Graph analysis Social mediaanalysis

ID integration

Metadata processing

ID reconciliation

Storage

Craw

ler

Open Data

Private data

Financial statements

Intra-company data

Stock price Web/SNS

Legal Entity IdentifierVisualization

SDNApp

NewApp

SPN-enabled Network

Cloud App

NetworkOperator

CloudProvider

Virtual Network Object(VNO)Pool VNO Arbiter

VNO1 VNO2 VNO3 VNO4 NetKAT Compiler

ResourceManager

VNMapping

SPN(Software-programmed Networking)OS

Through collaboration among domestic and global laboratories,

we are advancing R&D on the leading-edge technologies and

carrying out field trials which are difficult to be executed

due to regulations inside Japan

Fujitsu Laboratories of America, Inc.Leveraging the advantages of its strategic office locations in the U.S. (Silicon Valley in California and Telecom Corridor in Texas) where

world-class advanced technologies and new services, disruptive innovations are tried ahead of other nations, we investigate the latest

technology trends, undertake research in emerging technologies including next-generation computing architecture, programmable network

architecture, software verification and autonomous patching, next-generation cryptography, etc. and promote open innovation by

collaborating with universities and startups.

Assessment of potential risks of each patient based on the 36 thousand patients data and the medical open data including more than a million papers, which is a technology co-created with San Carlos hospital in Spain

Awarding ceremony of Linked Open Data Competition at Fujitsu Innovation Gathering an event hosted by Fujitsu Laboratories of Europe

Data reconciliation system unifying various expressions of single entity by analyzing and integrating diverse financial information in banks and/or financial supervisory institutions

Fujitsu Laboratories of Europe Ltd.We are promoting co-creation with customers/partners to open up new businesses in EMEIA [Europe, the Middle East, India and Africa] based

on our cutting-edge technologies such as artificial intelligence and big data analytics. FLE is also vigorously engaged in standardization

activities for the fifth-generation (5G) mobile communication systems.

FUJITSU LABORATORIES LTD.4-1-1 Kamikodanaka, Nakahara-ku, Kawasaki, Kanagawa 211-8588, Japan

TEL.+81-44-754-2613www.fujitsu.com/jp/labs/en/

September 2017

This brochure uses FSC-certified paper, vegetable oil ink, and a waterless printing process that generates no harmful liquids.2017 FUJITSU LABORATORIES LTD. All rights reserved. Printed in Japan

FUJITSU LABORATORIESCorporate Profile

FUJITSU LABORATORIES Corporate Profile

Documents

Transcript of FUJITSU LABORATORIES Corporate Profile