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FUJITSU LIMITED Fujitsu Research Copyright 2021 FUJITSU LIMITED
Transcript of FUJITSU LIMITED - jetro.go.jp
FUJITSU
LIMITED
Fujitsu Research
Copyright 2021 FUJITSU LIMITED
IT Service
in
Japan#1 #7
Data Centers
Global Service Desks
100+
30+ languages
FORTUNE named Fujitsu as “one of the World’s
Most Admired Companies in 2020”
A rich history of
86
globally
years
On site service
180countries
Employees
thousand126over 100 countries
7.9% LSI Electronic
Components
Device
Solutions
13.5% PC Mobileware
Ubiquitous
Solutions
78.5% Services System
Platforms
Technology
Solutions
Sales Revenue 2019
36.3billion USD
India
8 Global Delivery Centers (Offshore Service)
China
Malaysia
Philippines
Portugal
Costa
Rica
Poland
Russia
Fujitsu at a Glance
Copyright 2021 FUJITSU LIMITED1
*1USD = 74INR
Fujitsu ResearchHead of Fujitsu Research: Hirotaka Hara
Location: Kawasaki, Atsugi
Employees: Domestic approximately
(3 overseas bases: Approx. 200 employees)
Fujitsu Research
CEO: Yoichi Koyanagi
Established: 1993
Base: Sunnyvale (CA), Richardson (TX)
CEO: Adel Rouz
Established: 2001
base: London (UK), Madrid (Spain)
General Accounting: Masao Kondo
Established: 1998
Base: Beijing, Shanghai, Suzhou
Fujitsu Research of AmericaFujitsu Research of Europe Fujitsu Research and Development
Center
FRDCFRA
FRE
800
Overview of Fujitsu Research
Copyright 2021 FUJITSU LIMITED2
Fujitsu Co-Creation
Research Laboratory
at the University
of Toronto
Established: 2017
Creating New Value through AI
Providing Trusted AI
Social and business transformation through AI
Open
innovationIndustry-university
collaboration
Responsibility to People and Society Responsibility as a System
AI Ethics Explainable AI Operation and Quality Data Security
advanced machine learning Understanding of people and society complex problem solvingDiscoveryscience
AIMathematics
Quantumoptimization
Semanticunderstanding AI on Fugaku
KnowledgeGraph
Fujitsu Research
Fujitsu Researchin the US
Fujitsu Researchof Europe Ltd.
Fujitsu Researchand Development Center Co., Ltd.
Social
TransformationTransformation into a richer social system
Experience
TransformationLive your life the way you want,
the way that suits you.
Industry
TransformationTransformation to maximize corporate value
Fujitsu’s AI research activity
Copyright 2021 FUJITSU LIMITED3
AI Transformation
Social infrastructureCity-wide surveillance
Cyber attack detection
EducationOnline education
Personalized education
Health monitoring
Work style transformation
Safety and securityCrime risk assessment
Disaster/Evacuation
Simulation
Yield improvement
Signs of equipment
failure
ManufacturingCredit scoring
Investment optimisation
Fintech
Machine translation
Question response
Inventory optimisation
Unmanned store
RetailSportsForm visualization
Training support
HealthcareIT drug discovery
genomic medicine
safety of workers
Equipment failure
prediction
MaintenanceLivelihoodWatch over the elderly
Optimization of nursery
assignment
Well-being
Communication
Social
Transformation
Experience
Transformation
Industry
TransformationTransformation into a richer social system
Live your life the way you want to live it,
the way that suits you.Transforming to maximize corporate value
Copyright 2021 FUJITSU LIMITED4
London(UK), Madrid(Spain) Beijing, Shanghai, SuzhouSunnyvale(CA), Richardson(TX)Kawasaki, Atsugi
Fujitsu R&D CenterFujitsu Research
of EuropeFujitsu Research
of AmericaFujitsu Research
5
Recruitment and InternshipWe will recruit and run an internship program for AI researchers in Japan and India.
We also think to establish Fujitsu Research of India next Fiscal Year. By joining Fujitsu Research,
you will be able to pursue challenging research and a career as a researcher at laboratories
around the world: USA, UK, Japan, China and India.
Copyright 2021 FUJITSU LIMITED
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Recruitment and Internship Themes (1/2)
1Causal discovery leveraging graph structure
The causal relationships between the features of objects are strongly affected by their conditions, environment, and relationship between the objects represented by a graph structure such as social networks. In this theme, we develop causal discovery techniques leveraging a graph structure by improving technologies such as graph neural networks and their recent advancements.
2Improvement of causal discovery techniques
Causal discovery techniques are paid much attention recently. However there remain several fundamental issues in order to apply the techniques to real-world problems. In this theme, we tackle the issues from both theoretical and application points of view, such as confounding factors, too many variables or insufficient samples, and the nonlinearity of the causal relationship.
3Algorithm development for Representation Learning
Evaluation and development of AI algorithms for image/text recognition based on representation learning techniques, such as generative models and Transformers.
4Object association among multiple images using Deep Learning
In general, Deep Learning requires high-quality labeled data. However, for the task of object detection, such high-quality data is too expensive to generate. In this theme, we study data collection techniques with weakly labeled data at a lower cost, and learning methods for object detection using the collected data.
5Investigation of data analysis techniques using a new TDA algorithm
Topological Data Analysis(TDA) is a data analysis technique that is attracting much attention, and Fujitsu is also developing techniques and tools for applying it to ML. Recently, new algorithms for the core of TDA technology have been proposed. In this theme, we investigate whether our technique can be improved by using these new algorithms.
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Recruitment and Internship Themes (2/2)
6Brain-inspired AI technology for multi modal learning
Out-of-Distribution (OoD) generalization is one of hot research areas in AI because this is very important to create a robust AI, which performs as accurate as in training phase. In this theme, we study a multi modal learning for OoDgeneralization inspired by human brain.
7 Few-Shot Learning for 3D detection
Few Shot Learning (FSL), where an AI system is trying to classify or detect objects unseen during training, is becoming a very hot topic. In this theme we develop methods for applying FSL to 3D point cloud data, such as the one generated by 3D scanners and LiDAR sensors. The project will focus on studying and improving performance when the 3D data is of low data quality (e.g. noisy scans, occlusion etc).
8 Program Synthesis for Machine Learning
AutoML is one of the technologies that accelerates software development in Machine Learning (ML) field. Our research is to help ML model creation by using program synthesis technologies as AutoML. In this theme, the candidate joins our research team as a member and creates the program synthesis technology together.
9 Analysis of trend on SNS and salesDevelopment of Natural Language Processing technologies to detect macro trend in specific items on SNS, and analysis of the effects on sales.
10 Behavior analysis on SNSDevelopment of Natural Language Processing technologies to extract actions written in SNS in order to analyze behavior in specific area and period.
11Development and Evaluation of AI System Debugging Technology
As AI continues to spread rapidly, there is a growing debate about the impact of AI quality on society. If the AI produces undesirable output, developers will have to relearn to fix it, but it's hard to fix it reliably. As a technology for quality control during the development and operation of AI systems, Fujitsu is developing debugging technologies for AI systems that use a software engineering approach. In this theme, we will implement and evaluate improvements to the debugging technology of the AI system.
Compensation (for permanent employee in Japan)
Salary : It is decided in consideration of the experience and the ability.
Raise: Once a year (According to the results).
Working Style: Flexible working time, Telework is also possible.
Holiday: five-day workweek (Saturday, Sunday, holidays, year end and new year)
Vacation: Leave-taking system and annual paid holiday (20days on the first year), etc.
Insurance: Employment insurance, Workers' accident compensation insurance,
Health insurance, and Employees' pension insurance.
Welfare: Commutation expenses assistance provision and various recreational facilities, etc.
Others: Japanese language training, Dormitory for foreigners, Foreign community of several
hundred people and “Fujitsu Life in Japan” which is a community that supports daily
life in Japan, etc.
Copyright 2021 FUJITSU LIMITED
Contact information
[contact for inquiries]
FUJITSU LTD.
Research Management Center
Human Resources DEPT.
e-mail : [email protected]
Copyright 2021 FUJITSU LIMITED
If you are interested in Fujitsu Research
employment/internship or learning more
about Fujitsu in general, please contact us.
