exploring the development and exploitation of cutting edge ai technology

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  • 0 Copyright 2017 FUJITSU

    Fujitsu Forum 2017

    #FujitsuForum

  • 1 Copyright 2017 FUJITSU

    Exploring the development and exploitation of cutting-edge AI technology

    Shoji Suzuki

    Member of the Board

    Head of Artificial Intelligence Laboratory

    Fujitsu Laboratories Ltd.

  • 2 Copyright 2017 FUJITSU

    Agenda

    1. Current status of AI and Fujitsu Lab. research strategy

    2. Implementation in society of AI technologies

    3. Cutting-edge AI technology Explainable AI

  • 3 Copyright 2017 FUJITSU

    Current status of AI and Fujitsu Lab. research strategy

    1.

  • 4 Copyright 2017 FUJITSU

    History of Artificial Intelligence

    1st AI Boom(Search/Inference)

    2nd AI Boom(Knowledge)

    3rd AI Boom(Machine Learning)

    1956-1960s

    1980s

    1st AI Winter(74-80) 2nd AI Winter(87-11)

    The birth of AI56 (Dartmouth Conference

    The rush of big AI projects (Expert System)

    Games with clear goals can be solved but not practical

    Rule Base Lisp

    Prolog

    2012-

    Far from the knowledge level of human experts

    Deep learning surpassed conventional methods in image recognition12

  • 5 Copyright 2017 FUJITSU

    Background of the 3rd AI Boom

    Evolution of computing Data driven Breakthrough algorithm

    The latest GPU: 120TFLOPS

    Realizes 1000-smartphone computing by one chip

    100 GB/1 person Sequence data of whole human genome

    220 GB/1 minute Videos uploaded to Youtube around the world

    2 TB/1 driving Data generated by various sensors in an automated vehicle

    200 TB/1 fright Data generated by various sensors in an airplane flight

    Data is the new oil of the 21st century

    Brilliantly overcame the prejudice that useless

    Gains visual and speech recognition functions that can exceed human for the first time with deep learning

    2010 2000 1990

    Wo

    rd e

    rro

    r ra

    te

    100%

    5%

    10% Using DL

    Source : Microsoft

    Evolution of speech recognition

  • 6 Copyright 2017 FUJITSU

    Expected AI Related Market

    AI related market reaches 59.8 billion dollars worldwide in 2025 30% for enterprises, 70% for consumers

    CAGR : 50% or more

    Ente

    rpri

    ses

    Con

    sum

    ers

    , partially edited by Fujitsu Labs.

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    Solving Practical Social Issues Through AI Current AI applications are still in the element technology level Needs to realize the AI effect and growth through social implementations

    Current Applications

    Games Speech recognition

    / translation

    Image recognition

    Applications required by real world

    Mobility System Healthcare System

    HR System Social Infrastructure System

    Financial System

    by Okamoto

  • 8 Copyright 2017 FUJITSU

    Strategy to Grow AI Market

    Clearly shows the effect of AI in enterprise market Enhance AI market by understanding AIs decision

    Shows the effect of AI Understands AIs decision

    Collects, classifies and organizes events

    Understands events and predicts future

    Executes by human or AI and feedback its results

    Makes decisions and plans actions

    Growing Cycle of AI

    Visualization

    Execution & Feedback

    Analysis & Prediction

    Decision Making

    By repeating this cycle, AIs performance is demonstrated

    AI collaborates smoothly with people and coexists with society

  • 9 Copyright 2017 FUJITSU

    Implementation in society of AI technologies

    2.

  • 10 Copyright 2017 FUJITSU

    Fujitsu AI Technology Brand

    Agile & intense

  • 11 Copyright 2017 FUJITSU

    Fujitsus AI Goals

    To create AI that collaborates with people and is human centric

    To create AI that continuously evolves

    To provide AI that can be incorporated in our products and services then deployed

  • 12 Copyright 2017 FUJITSU

    AI Development Overview

    AI platform

    AI core technologies

    Implementation in society

    Applications

    Software Acceleration of AI programs as data preprocessing, parallel processing distributed processing and so on

    Sensing and Recognition

    Understanding of user's intention, emotion, environment and situation

    Knowledge Processing

    Acquisition of knowledge, and inference and problem solving

    Learning Advancement of machine learning in order to expand application range

    AGI Artificial General Intelligence

    Service and Embedded Incorporating AI into equipment. Development & verification for applying social infrastructure systems.

    Governance and Social acceptability

    Privacy and security protection of intellectual property rights. Social acceptability.

    Eco-system Ecosystem for business, technology and human resource development.

    Hardware Hardware for high-speed AI computing such as HPC, DLU and DAU

    Social infra- structure Mobility

    Customer center

    Logistics

    Main- tenance

    Manu- facturing

    Fintech

    Digital marketing

    Food /

    agriculture Health

    care

    Office / living

  • 13 Copyright 2017 FUJITSU

    AI Development Overview

    AI platform

    AI core technologies

    Implementation in society

    Applications

    Software Acceleration of AI programs as data preprocessing, parallel processing distributed processing and so on

    Sensing and Recognition

    Understanding of user's intention, emotion, environment and situation

    Knowledge Processing

    Acquisition of knowledge, and inference and problem solving

    Learning Advancement of machine learning in order to expand application range

    AGI Artificial General Intelligence

    Service and Embedded Incorporating AI into equipment. Development & verification for applying social infrastructure systems.

    Governance and Social acceptability

    Privacy and security protection of intellectual property rights. Social acceptability.

    Eco-system Ecosystem for business, technology and human resource development.

    Hardware Hardware for high-speed AI computing such as HPC, DLU and DAU

    Social infra- structure Mobility

    Customer center

    Logistics

    Main- tenance

    Manu- facturing

    Fintech

    Digital marketing

    Food /

    agriculture Health

    care

    Office / living

    Explainable AI

    Applications to solve social problems in various fields

  • 14 Copyright 2017 FUJITSU

    Extending the Scope of Deep Learning Breakthrough technology of machine learning that extracts knowledge from data Automates feature extraction, a fundamental issue of machine learning

    Time-series data Graph data Image Voice Text

    Vehicle Recognition

    Company A: White male Age: 30

    Cloth: Gray

    Backpack : Pink

    Person Recognition

    Handwriting Recognition

    Practical application

    Fujitsu Laboratories scope Conventional scope

    Original (2016/02)

    Leveraged by topological data analysis

    Original (2016/10)

    Based on tensor expression

    Learning Technology

  • 15 Copyright 2017 FUJITSU

    1 Blade Inspection Image Data

    Purpose

    Technology

    Outcome

    Develop Non-destructive testing to assist human operators in identifying potential defects

    Detection with a combination of Deep Learning, Image and Signal processing

    Blades can now be checked 75% faster, taking just 1.5 hours

    To be put in production in Denmark and UK starting Autumn 2017

    demonstration

  • 16 Copyright 2017 FUJITSU

    2 Bridge Inspection

    Automatic detection of internal damage for bridges

    Topological data analysis (TDA) for time-series data from sensor

    Contribution to the optimization of bridge maintenance and management tasks

    Vibration data External sensor Converting vibration data into figures

    Converting figures into numerical values

    degree of abnormality

    The degree of abnormality and the degree of change

    degree of change TDA

    Chaos theory DL

    intact damaged

    wheel load

    concrete slab

    external sensor

    Purpose

    Technology

    Outcome

    Time-series Data

    demonstration

  • 17 Copyright 2017 FUJITSU

    Deep Tensor

    FUJITSUs proprietary deep learning technology that can learn graph data representing relationships in the real world

    Various relationships

    SNS (personal relations)

    Compound (element

    combination)

    Business connections

    Existing error back propagation method

    Extended error back propagation method

    Tensor representation

    Graph data

    Deep Tensor

    Business growth forecast

    Fintech

    Virtual screening

    IT drug development

    Malware invasion detection

    Cyber attack

    Neural network

    Learning both neural network and tensor transformation

    Communication relations

  • 18 Copyright 2017 FUJITSU

    3 SecurityMalware Attack Detection

    Shorten the detection time, several days by experts to a few minutes

    Detect the behavior of a malware, which is difficult for the expert to find out

    the example of graph data that only the new method using Deep Tensor can detect the attack

    Th