significant value of endpoint computing
TRANSCRIPT
Significant Value of Endpoint Computing
Tomomitsu Maoka
SVP, Renesas Electronics Corporation
Chairman, Renesas Electronics China
DECLINING BIRTH RATE AND AGING POPULATIONDECREASE IN THE NUMBER OF EMPLOYEES IN MANUFACTURING
US
Germany
China
France
Japan
50
100
1980 2000 2020 2040
Production age population (15-64 years old)
←set 2014 to 100
From Government data book 2015 From Ministry of Internal Affairs and Communications
Economic effect
To improve productivity
Reduce waste / cost
Continuous growth
independent of labor force
Employee population in Japan
Ratio [%]
Number of
employees [M]
Number of
employees [M]
Ratio
[%]
2
ACTIVITIES TO IMPROVE PRODUCTIVITY
Industry 4.0 The 4th Industrial Revolution
Digitizing information Digitizing factory
Big data analysis Cloud, IoT technology
Micro service Agile development
Distributed data processing Block chain
Optimize on-premises and cloudsAI, Deep learning
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ACTIVITIES TO IMPROVE PRODUCTIVITY
Industry 4.0 The 4th Industrial Revolution
Digitizing information Digitizing factory
Big data analysis Cloud, IoT technology
Micro service Agile development
Distributed data processing Block chain
Optimize on-premises and cloudsAI, Deep learning
Keyword is
Information
Digital transformation
(Digitizing)
Cyber physical system
(Modeling)
Mass customization
(Connecting, optimizing)
4
10,000,000
100,000,000
1,000,000,000
10,000,000,000
100,000,000,000
1,000,000,000,000
10,000,000,000,000
100,000,000,000,000
2007 2012 2017 2022 2027 2032 2037
Sensors/year
From Trillion Sensors Universe, TSensors Summit
2023
over 1T
USE OF INFORMATIONTHE TIME OF “TRILLION SENSORS” WILL COME
960Tbit/sec data
will be generated
Estimated by Renesas
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INFORMATION DATA PER EMPLOYEE IS 5T BYTES/YEAR
◆Shipment of sensors
2013: 10 billion pieces
2023: 1 trillion pieces
◆Employees in industry
2013: 724 million people
2023: 760 million people*1
Sensors : About 100 times (2013→23)*2
Information data : 5T Bytes/employee/year
Capital investment is necessary
to utilize huge amount of information*1 ILO「GLOBAL EMPLOYMENT TRENDS 2014」、
and government data book in 2015, and estimated by Renesas
*2 Estimated by Renesas
6
NEED TO COLLABORATE AMONG DIFFERENT INDUSTRIES
How much info can be used becomes competitive
Endpoint computing devices Embedded software
Cloud Service / Application
New technologies
New skills
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SIGNIFICANT VALUE OF ENDPOINT COMPUTINGAS ORIGINAL SOURCE OF INFORMATION DATA
Endpoint computing devicesEmbedded software
Cloud Service / Application
New technologies
New skills
Toward predictive maintenance
to use real-time information
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Cloud` `
Factory
PROBLEM OF ENDPOINT
Endpoint computing devices
Increase in sensors and increase processing of endpoints
Networktightness
- Huge data generated
- Real-time performance
- Network bandwidth
Importance of endpoint roles
Intelligent processing required
9
Cloud
Factory
SOLUTION TO MAKE ENDPOINTS INTELLIGENT
Data processing at endpoints
Autonomy by AI
“e-AI solution”embedded Artificial Intelligence
Uploadjudgment only
Distribution between cloud
and endpoint
Continuous real-time processing
by e-AI solution
10
e-AI CREATES NEW BUSINESS OPPORTUNITY
Statistical AI (Sampling data)
Realtime AI (Continuous data)
Learning
&
Inference
Inference mainlyPre/One-time Learning
CloudAI
Endpointe-AI
EdgeAI
New Biz opportunity
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Not “Zero-sum” But “Plus-sum”Co-creation of Two AIs Enables New Big Biz Opportunities
Cloud AI Endpoint e-AI
Sensor Actuator Sensor Actuator
Computing
(AI)
Distributed AutonomousComputing
(AI)Co-creation
Towards Plus SumDiversified Optimization
Fusion among sensor, actuator
and Computing
Centralized
12
e-AI CAPABILITY ENHANCED BY DRP
DRP: Dynamically Reconfigurable Processor
e-AI Capability
2018 2019 2020 2021 20222017
Endpoint Inference
e-AI on MCU / MPUClass-1
x10Realtime Image Processing
by DRP
Realtime Cognition
by DRP-AI
Endpoint Incremental Learning
by DRP-AI 2
Class-2
Class-3
Class-4
x10
x10
Solution released July 2017
Product release October 2018
Paper reported VLSI symp. 2018
1.5 years ahead of competition
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MES FDC
e-AI
result
e-AI
execution
Settings
PLC
Sensors
EXPERIMENT CONFIGURATIONWITH NEW FDC SYSTEM
Added judgment
by e-AI
AI ※ In this experiment, we used AI developed by M-IX of Xcompass Ltd.
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SUCCESS BUSINESS CASESSMART FACTORY MOVES FROM PREVENTIVE MAINTENANCE TO PREDICTIVE MAINTENANCE
e-AI Deployed at Renesas Semiconductor Factory
150 3000!x20
e-AI Solution “AI Unit” at Renesas Factory
Add-On e-AI Systems
“AI Unit”
Renesas Naka Wafer Fabrication Factory
Production lead time reduced by one-third with implementation of
predictive maintenance
Annual $10 million USD value for entire system
故障低減によるリードタイムの短縮
生産工程 故障による作業待ち
装置作業待ち
ウェハ生産リードタイムWafer Production Lead Time
Lead Time Reduction by Prevention of Failure
Production
Process
Scheduled
Down TimeUnscheduled
Down Time
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e-AI CAPABILITY ENHANCED BY DRP
DRP: Dynamically Reconfigurable Processor
e-AI Capability
2018 2019 2020 2021 20222017
Endpoint Inference
e-AI on MCU / MPUClass-1
x10Realtime Image Processing
by DRP
Realtime Cognition
by DRP-AI
Endpoint Incremental Learning
by DRP-AI 2
Class-2
Class-3
Class-4
x10
x10
Solution released July 2017
Product release October 2018
Paper reported VLSI symp. 2018
1.5 years ahead of competition
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DRP, ACCELERATOR OF DEEP NEURAL NETWORK WITH RAPID CHANGE
INPUT OUTPUT
DNN contains
・Convolution Layer
・Pooling Layer
・Full Connected Layer
・Activation Function
Multiple Parallel Processing is Required
Renesas Utilizes DRP as AI Accelerator
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Latest Demonstration of RZ/A2MProvide Real-time and Low Power Performance
DRP case(only 40MHz)
Fixed 10.4msecCPU case(500MHz)
About 140msec10 Times
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USE CASE CLASS-1: E-AI ANOMALY DETECTION FOR HUNDREDS MILLION MOTORS
Benefits:
▪ Improve service quality
▪ Avoid downtimes
▪ Reduce maintenance cost
Renesas is shipping 200M+ motor control MCU per year.
New MCU series will enable e-AI Anomaly Detection.
Everywhere Every Time
Smart Living Smart InfrastructureSmart Factory
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USE CASE CLASS-2 / 3: MULTIMODAL E-AI BIOMETRICS AUTHENTICATION
Smart cognitive system with new MPU products.
Biometrics Information
Authentication Data
MatchMatch Match Detect
Cashless
Airport
Office Entry Systems
Mobile Systems, Body-worn
Passport
ID Card
ID Card
Criminal Photo
20
COLLABORATION BEYOND INDUSTRY BOUNDARIESTO SOLVE SOCIAL ISSUES
Endpoint computing devices Embedded software
CloudService / Application
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www.renesas.com
Thank you for your attention
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