Living on AI, Present and Future
Transcript of Living on AI, Present and Future
Living on AI, Present and Future
Xinhui Wang
General Manager of Standardization and
Industrial Relations, Vice President
ZTE Corporation
Contents1
2Present
Trend
3 Future
1 Trend
The 3rd Wave of AI in the History
2006 2012 2016 2021
• Focus on classic machine learning
algorithms
• Limitation on tasks like image
recognition
• The buds of deep learning
• Effectiveness of deep learning
algorithms in feature extraction
• Breakthrough in voice and visual
recognition
• GAN, adversarial attack
• Google autonomous driving
• Renaissance of reinforcement learning
• Commercialized AI products
• Development of AI Chips, 5G, and IoT
• Autonomous driving technology
?
The technological breakthrough marked by automatic feature extraction has formed the 3rd wave of AI. A new
technological breakthrough with a cycle of about 20 years has been gestating.
Four Major Evolution Trends
Industry Research
Project Practice
• The risks of AI development
• Against attacks, backdoors
• Privacy, ethics
• Prejudice, discrimination, trust
• Explainable AI
• The ultimate goal of AI applications
• Closed loop of perception, transmission, storage,decision, and action
• Closed loop of perception, learning, anddeployment
• AI process is automated
• AI technology research: in-depth details
• Research work expands from theory toapplication
• Demand for foundational work
• Accelerated penetration of AI technologies intoindustries
• Industrial revolution AI may bring
2 Present
AI+, Shaping Today’s Society
Cell Phone
Smart HomeIntelligent
Vehicle
Wearable
Device
AI+
Education
Network
Health
Care
Government
Finance
Natural Interaction
Changing Life
Intelligent Learning
Re-shaping Industries
Drone
AI for Healthcare
INTELLIGENT
HEALTHCARE
COVID-19-like
INFECTIOUS
DISEASE TRACKING
Achieve efficient disease tracking
9%
CHRONIC
DISEASE MONITORINGIssue health risk alerts
RESCUE OF
SUDDEN DISASTERAssign rescuers in time
RESCUE OF SUDDEN
DISEASE AND
ACCIDENT
Request timely medical treatment
AI for Industrial ParkPark introduction: ZTE Nanjing Binjiang Manufacturing Base
Technologies:
• Use the latest 5G technology to fully cover the administrative
and factory areas
• Use AI technology to automate and intelligentize each unit
• ZTE's most intelligent factory and one of the most advanced
parks in China's communications manufacturing industry
• Cloud AGV: intelligent collaborative scheduling
• Machine vision: timely detection of potential safety hazards,
device quality inspection, automated assembly line
• Intelligent analysis: comprehensive monitoring of assets,
energy consumption, environment, etc.
• Intelligent prediction: predictive management of quality,
contract and logistics
AI for Environmental ProtectionNB-IoT/
2/3/4/5G
5G eMBB
+URLLC
Smart environmental
service platform
AI+ Environmental Protection = IoT monitoring + 5G video
inspection + AI Analysis
IoT platform
AI/BD
Real-time monitoring + remote control
Intelligent Analysis:Big Data +AI
HD picture recognition
• Experience: N*4K high-definition reality
immersive
• Accurate: 80%->95% anomalies
recognition
5G large bandwidth video, HD images are
real and effective
• Real-time: sub-millisecond control
• Linkage: Monitoring cost ↓40%, detection
period↓70%
5G drone patrol, efficient remote
monitoring
• Effect: multiple algorithm models, multi-
dimensional data fusion, trend analysis,
prevention in advance, accuracy above
95%
AI data processing makes decision more
scientific and timely
Inspection ships, drones, high-
definition cameras
Online detection equipment for air,
water quality, floods, pollution
sources, etc.
AI + environmental protection, enabling the digital transformation of the environmental protection industry, and helping the environmental
monitoring system to achieve three-dimensional monitoring, intelligent analysis, and refined control.
On Demand
Predictive
Smart
Operation
Autonomous
Self-healing
Self-optimizing
Intelligent O&M
Customer Service
Precise Marketing
Data Monetization
Multi-dimensional
Perception
Dynamic Policy
Real-time intelligence
Fault Prediction
Traffic Forecast
Network Prediction
Network requires the introduction of AI in order to achieve automated and intelligent operations.
Network Requires More Intelligence
Standard : ML in 5G Architecture(Pipeline)
orchestrator
MNG
AI Platform
MLFO
Intent
NF-1 NF-n
M1 P Sink
High level building blocks of mng
NF-1 NF-n
C PP
Domain-2 (eg : Transport)
NF-1 NF-n
src
Domain-3 (eg : RAN)
Simulate
src C
PP M1
M2 P
D sink
Domain-1 (eg : CN)
High level logical architecture of pipeline High level logical architecture of closed loop
Note:Source from ITU-T FG-
ML5G
Open Source : Toolkit for AI Model (Adlik)
Adlik, a toolkit for
accelerating deep
learning inference on
specific hardware.
• Support several
kinds of hardwares.
• Collaborate with
existing inference
solutions with
unified entrance.
An open source
project of LF AI &
Data and code
hosted on GitHub.
https://adlik.ai/
https://github.com/Adl
ik
On Demand Service
Simplified O&M
Smart Scheduling
• Intent-based Service
• Smart Slicing
• AI-Based RCA
• Proactive O&M
• AI-Based Massive MIMO
• Intelligent Traffic Optimization
• AI-Based Resource Scale In/Out
O&M
IntelligenceLite AI Engine
Business
Intelligence
Network Element
Intelligence IPData Center
MANO/EMS/SDN-C
AI Engine NG-OSS
RT AI Engine
E2E Network Optimization
E2E Inter-domain O&M
E2E Service Orchestration
OTN
TTM
Days
Manpower
75%
Performance
10%
Self-evolution Network
3 Future
Framing the future of AI
AI, everything and everywhere
Incredible Invisible unprecedented
Future Scope of AI
• Robots will keep us safer from disaster.
• We all will become cyborgs.
• AI will turn us into super human.
• Very smart computers may solve our
problems, even change in the climate.
• AI will give us more time to be creative.
• Sad part is, robots will take away most
of our jobs.
Thank You!