intelligent computing, hyperconnected cloud and fujitsu collection big data high speed processing...
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Copyright 2015 FUJITSU LABORATORIES LTD.
Intelligent Computing, Hyperconnected Cloud*, and Fujitsu
Dr. Hideyuki Saso
Fujitsu Laboratories Ltd. CEO and Representative Director
Fujitsu Laboratories of America Technology Symposium 2015
*Hyperconnected cloud: refers to one of Fujitsu Laboratories’ visions related to ICT evolution
June 24, 2015
ICT is driving a New Industrial Revolution
Hyperconnected World
ICT advances are enabling diverse innovations
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18th Century 19th Century 20th Century
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1950 1970 1980 1990 2000 2010 1960
★AI term coined (Dartmouth conference)[’56]
★Massive AI Project established (Japan ICOT [’82], U.S. MCC [’83], U.K. Alvey [’84])
★AI’s failures (Lighthill report)[’73]
★DEC R1[’82] ★ELIZA language processing program developed ★Watson Victory [‘11]
★Brain Science Project established (BRAIN Initiative, etc.)
2020
Relational Database (Acceleration) In-Memory DB Graph Database
(Full-scale Utilization)
Multimedia DB (IoT, Imagery, Video) Column-Oriented DB
Big Data Unstructured(NoSQL) (40 ZB)
Project
System
1st Generation AI Era of search and
Deductive inference
2nd Generation AI Era of knowledge
Acquisition
3rd Generation AI Era of
Machine learning
Computing Power
Data
★K computer 1 PFlop
★ASCI Red 2.4 TFlops
★CM-5/1024 60 GFlops
Exascale ~1 EFlop
Structured(SQL)
★Deep Blue victory [’97] ★Turing test proposed ★MYCIN diagnostics program developed[’73]
Expert System Artificial Incompetence Agent System Turing Machine
★Cray-1 160 MFlops
★VP-400 1 GFlops
Integrated Data Base (GE社)【‘64】
File System Databases
Transformations in Artificial Intelligence (AI), Computing, and Data
Cognitive Computing
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Fujitsu Laboratories’ R&D Initiatives in Intelligent Computing
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Intelligent Computing: Overview of R&D and Applications
Core ICT
Big Data
Media Data
Structured Data
Un- structured
Data
IoT Data
Sensor Data
AI
Intelligent Computing
New
Bus
ines
s
Healthcare
Vehicles
Agriculture
Application Domains
Education
Social Infra-
structures
Energy
Natural Disaster Counter- measures
ICT Infrastructures
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Business Applicability
PoB, PoC
Social Acceptance Business Models 4
Bringing AI to the cloud: Integration from front end to back end to create Collective Intelligence
Intelligent Computing: Fujitsu Laboratories’ Strategy
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Computer Vision
Artificial Intelligence
Knowledge Base
Struc- tured Data
Unstruc- tured Data
Media Data
IoT Data Sensor
Data
Big Data
Cloud
Mobile Devices
Agriculture Cloud
Automotive Cloud Healthcare
Cloud Sensors
Intelligence
Machine Translation
Question & Answering
System
Specialized AI
Social Cloud
IoT
Human Interfaces
Robotics
Natural Language
Comprehension
Discovery, Cognition, Decision Data Collection
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Core ICT
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Big Data
Smart Devices Cloud
Optimization
Expert Systems
Hadoop CEP No SQL Data Mining
Virtualization
Optical WDM 2G/Mobile Phones
M2M
Social Media
Voice Synthesis
Voice Recognition
Autonomous DevOps
4G 3G/Smart Phones
Web Services
Rule-Base
E-mail Client Servers
Smart Machines Machine Learning
Deep Learning LOD Spark
Fabric Computing
Software Defined PF
SDN/NFV
Optical Digital Coherent 5G
Industrial Internet
Trillion Sensors
Industrie 4.0
Wearable
Multimedia
Databases
Cognitive Computing
HTML5
Quantum Encryption
Homomorphic Encryption
5 Senses-Based Recognition
Next-generation User Interfaces
Human-Agent Interaction
Autonomous Distribution Analysis Processing
Autonomous Security
Ultra-Realistic Video/Audio
Edge Computing
WebAPI Based Business Applications
Non-Neumann Architecture
LSI 3D Stacking
Optical Integration/ Silicon Photonics
Ultra-Dependable Distributed Systems
Interlinkage of Front-End Devices & Clouds
Web OS SDN/NFV
Integration
Interlinkage of Biometrics & Privacy Preservation Technologies
Optical/Wireless Fusion
5 Senses-Based Sensing
PAN/BAN
Information: Safe and Secure Intelligent Computing interlinked with Clouds
Infrastructure: Integrated Infrastructure supporting Hyperconnected Clouds
People: Hyperconnected Networking connecting People, Information, and Things
Computer Era
Network Era
Human-Centric Era
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Fujitsu Laboratories’ worldview of ICT evolution: Hyperconnected Cloud
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From Server Consolidation-based usage (Servers/Storage/Applications), to Clouds Further permeation of Cloud Architecture, to Front-End Networks and Devices Hyperconnected Cloud, comprised of amoeba-like interlinkages of Multiple Clouds
ICT Platform Technologies
Intelligent Computing Front-End Computing High-Speed High-Capacity Wireless Communications
Datacenters
Machine Learning Deep Learning
Data Accumulation Providing Value
Security
Scalable Distributed Systems
Advanced ICT operation management technologies Data
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Big Intelligence
1000
100
10
1
Aver
age
soci
al g
roup
size
Size of neocortex relative to rest of brain 1×
Source: THE SOCIAL BRAIN HYPOTHES, DUNBAR 1998
Data Volume Co
nnec
tion
& T
raff
ic
Expert System
Humans
=Apes
Monkeys=
2× 3× 4× 5× 6×
The Social Cortex
150 Hyper- Connection
Big Data
Big Intelligence
Multi- Agent
System
Typography
Telephone
Intelligence
Internet
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Creating Intelligence from Data
R&D related to Big Intelligence
Data Collection Big Data High Speed Processing
Datacenters
Servers & Storage
Neuroscience insights
Neuroscience
Policy design and evaluation
Virtual verification, Virtual data generation
Social Mathematics
Knowledge System Machine Learning
Deep Learning, Online Learning
Context Awareness Reasoning Situational Problem solving, understanding Optimization
Sensor Graphics GPS Video Audio Timeline
Simulation
LOD, Ontology
Data Analytics
Application Q&A Sys.
Image Recognition
IT Infrastructures Algorithms Knowledge Base
Interfaces
Social Science
Web/SNS
Med. Diagnosis
Education
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Applicability and Social Acceptance
Balance demand and supply
Improve learning
Reduce congestion
Alleviation of natural disaster damage
Improve safety
Increase income
Agriculture Education / Life
Transportation/ Logistics
Social Infrastructure Energy Natural Disaster
Countermeasures
Social Policy Design
Social Policy Evaluation
Technologies for Leveraging Data
Social System Modeling Technologies
Policy Refinement
Leveraging Intelligent Computing to enhance Solutions for Existing/New Domains
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Intelligent Computing, Hyperconnected Cloud and Fujitsu
AI Core Technology
Big Data Healthcare
Automotive Energy
Transportation Social Infrastructure
Environmental Robotics
Digital Content Sports
Social Acceptance
Business Models +
+
Interfaces/Algorithms/Knowledge Base/ IT Infrastructure/Social Science
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Innovation
= Invention
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× Business Models
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These presentation materials and other information on our meeting may contain forward-looking statements that are based on management’s current views and assumptions and involve known and unknown risks and uncertainties that could cause actual results, performance or events to differ materially from those expressed or implied in such statements. Words such as “anticipates,” “believes,” “expects,” “estimates,” “intends,” “plans,” “projects,” and similar expressions which indicate future events and trends identify forward-looking statements. Actual results may differ materially from those projected or implied in the forward-looking statements due to, without limitation, the following factors: •general economic and market conditions in the major geographic markets for Fujitsu’s services and products, which are the United States, EU, Japan and elsewhere in Asia, particularly as such conditions may effect customer spending; •rapid technological change, fluctuations in customer demand and intensifying price competition in the IT, telecommunications, and microelectronics markets in which Fujitsu competes; •Fujitsu’s ability to dispose of non-core businesses and related assets through strategic alliances and sales on commercially reasonable terms, and the effect of realization of losses which may result from such transactions; •uncertainty as to Fujitsu’s access to, or protection for, certain intellectual property rights; •uncertainty as to the performance of Fujitsu’s strategic business partners; •declines in the market prices of Japanese and foreign equity securities held by Fujitsu which could cause Fujitsu to recognize significant losses in the value of its holdings and require Fujitsu to make significant additional contributions to its pension funds in order to make up shortfalls in minimum reserve requirements resulting from such declines; •poor operating results, inability to access financing on commercially reasonable terms, insolvency or bankruptcy of Fujitsu’s customers, any of which factors could adversely affect or preclude these customers’ ability to timely pay accounts receivables owed to Fujitsu; and •fluctuations in rates of exchange for the yen and other currencies in which Fujitsu makes significant sales or in which Fujitsu’s assets and liabilities are denominated, particularly between the yen and the British pound and U.S. dollar, respectively.
Cautionary Statement
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