Intelligent Computing, Hyperconnected Cloud and Fujitsu Collection Big Data High Speed Processing...

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


18th Century 19th Century 20th Century

1

2 Copyright 2015 FUJITSU LABORATORIES LTD. 2 Copyright 2015 FUJITSU LABORATORIES LTD.

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

3 Copyright 2015 FUJITSU LABORATORIES LTD.

Fujitsu Laboratories’ R&D Initiatives in Intelligent Computing


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


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


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

5

Core ICT


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

6

Fujitsu Laboratories’ worldview of ICT evolution: Hyperconnected Cloud


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

7


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


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


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


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

11


Innovation

＝ Invention


× Business Models


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

Intelligent Computing, Hyperconnected Cloud and Fujitsu Collection Big Data High Speed Processing...

Documents

Transcript of Intelligent Computing, Hyperconnected Cloud and Fujitsu Collection Big Data High Speed Processing...