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!