Huawei Intelligent Computing andEnterprise Business

Artificial Intelligence

Erland Loyd de Flon

2

Noe å tenke på:Kan AI løse? “Tre logikere kom inn på en bar…”

3

About HUAWEI

80,000R&D employees

180,000Employees

170+Countries

14R&D Centers/Lab

2013

46.7

2014

39.3

61.3

2015

75.1

2016 2017 2018

92.5

108.2US$ Billion

No. 72Fortune 500

No. 68 Top 100 Brand by Interbrand

Huawei Corporate Governance Structure

98,768 Employees own 98.86% of Huawei, and Ren zhengfei

only owns 1.14% of Huawei.

BOD include 17 Members Elected every 5 years;

KPMG as independent auditor from Year 2000;

The rotating Chairman are the foremost leader

27,73B $CNBG

22,1B $CBG

5B $EBG

16,52B $CNBG

30,4B $CBG

5.1B $EBG

Overseas51,32%

Domestics48,68%

More than 50% Revenue

from oversea market

4

Sustained Investment in R&D Drives Technology Breakthroughs

6.6

1.62.1

2.7

3.8

4.85.2

20172008 2009 2010 2011 2012 2013 2014

9.2

2015

11.0

2016

13.8

2018E

15USD, billion

Source: The 2018 EU Industrial R&D Investment Scoreboard

13 437

13 388

13 135

12 279

11 334

10 921

9 656

8 885

8 800

8 663

0 5 000 10 000 15 000

1. SAMSUNG

2. ALPHABET

3. VOLKSWAGEN

4. MICROSOFT

5. HUAWEI

6. INTEL

7. APPLE

8. ROCHE

9. JOHNSON & JOHNSON

10. DAIMLER

Euro, million

• $ 75+ billion invested in R&D in the past 10 years, and $ 100+ billion

will be invested in the next 10 years

• 87,805 patents; 43,371 patents authorized by China , and 44,434

patents authorized outside China. 90% is an invention patent

• member of 400+ standards organizations, industry alliances, and open

source communities, with 400+ key positions.

10%+

R&D Investment

45%

R&D Manpower

5

Server vendor #3 WW in 2018

Dell EMC HPE Huawei Inspur Lenovo

HUAWEI

Source: Server Marketshare WW, 2018, Gartner

Global server shipments No.32018

“Huawei jumped from fifth place to endingup as number three in the list. They increased their sales by 45.9 percent to $ 1,815 billion and took a market share of 8.3 percent.”

http://www.cw.no/artikkel/datasenter/okt-serversalg-men-ibm-ned

Challengers Leaders

Niche Players Visionaries

Nutanix

Dell EMC

VMwareHPE

CiscoPivot3

Scale Computing

DataCore

HTBase

Microsoft

Stratoscale

Magic Quadrant for Hyper-converged

Infrastructure

COMPLETENESS OF VISION

AB

ILIT

Y T

O E

XE

CU

TE

Source: Gartner (November 2018)

HUAWEI

6

5G connecting IOT to AI

Connections

1,000,000 Connections

Per Km2

Architecture

SlicingAbility

Required

Mobility

500 km/h

High-speed

Railway

Throughput

10G bps Per

Connection

Latency

1 ms

E2E

Latency

5G

30~50ms 600Mbps 10K 350Km/h InflexibleLTE

GA

P 30~50x 16x 100x 1.5x NFV/SDN

7

5G Reduces Complexity, Energy, Site Cost

Massive MIMOSub 3GHz All in One

Antenna

Multi-mode RRU

Compact All in One Design Saves Space

Lamppost

Solutions(Simple

site

conditions)

Saves Energy 3.3w / MHz (4G) 0.13w / MHz (5G)

Traditional Macro(Difficult site conditions)

8

Myths about AI• AI and machines will replace all jobs

• Only low-skilled and manual workers will be replaced by AI and automation

• Super-intelligent computers will become better than humans at doing anything we can do

• Artificial intelligence will quickly overtake and outpace human intelligence

• AI will lead to the destruction of enslavement of the human race by superior robotic beings

THE MISSING MIDDLE

MACHINE

Transact

Iterate

Predict

Adapt

HUMANHELPS

MACHINE

Train

Explain

Sustain

MACHINEHELPSHUMAN

Amplify

Interact

Embody

Lead

Empathize

Create

Judge

HUMAN

9

What is AI?

These processes include:

Learning: The acquisition of information and rules for

using the information

Reasoning: Using rules to reach approximate or

definite conclusions

Self-correction: The process by which the system

improves it’s own algorithms

AI (artificial intelligence) is the simulation of human

intelligence processes by machines / computer systems.

10

What can AI do? - AI will modernize industries

1Efficiency improvementRepetitive, high-volume work 2

Expertise transferExpert experience

3Beyond human intelligenceMulti-domain collaboration

Manufacturing Transportation Energy & electricity FinanceGovernment &

Public Utilities

Platforms AI Ecosystem

Cloud • Intelligence • Future

We are

helping

all industries

go digital

This

Slid

e is

An

imat

ed

11

Weak AISingle-task intelligence

Strong AICognition/Inference

Super AIAwareness/Consciousness

Image identification

Autonomous driving

Content analysis

Autonomous

intelligent system

Semantic analysis

Speech recognition

20302020

NLP

Smart assistant

Brain-like chips

Intelligent diagnosis

Potential

Time

AI chip

Humanoid machine

CPU/GPU

AI Technologies Accelerate Industry Intelligence

12

Atlas 200 AI Accelerator Facilitates Power Line Inspection

Challenges

China has over 1.6M km of high-voltage transmission lines and over 4 million

transmission towers and poles. The stability of power grids is vital to

livelihoods.

For reliable power supply, transmission lines need regular inspections. The

traditional method is risky and consumes a lot of labor and resources.

Solution

The Atlas 200 module is embedded into traditional tower cameras for

unattended, intelligent power grid inspection. Drones and other inspection

methods will soon be supported. Application scenarios will also extend to

power generation, transformation, and distribution phases.

Atlas 200 enables real-time monitoring, analysis, and risk warning at the

front end, improving inspection timeliness, reducing manual workload, and

increasing accuracy.

Atlas 200 has a low-power design. The entire camera consumes 8 W, runs

on solar power, and is maintenance-free throughout its lifecycle.

Battery

Battery box

Atlas 200 System

control

board

SSD

4G module

Low-power dome camera

PV panel

Intrusion detection Foreign object

identificationSmoke and fire

detection

13

Challenges

The upcoming metro Line 17 planned for a facial recognition system. The

system would be for crowd control, tracking of passenger identity and behavior,

and criminal investigation. These functions fine-tune public security

management.

The system demands high stability and high precision of the facial recognition

algorithm.

System deployment has many restrictions and requires the devices to be space-

saving and capable of future capacity expansion.

Solution

An intelligent facial analysis system is built on an integrated appliance with the

Atlas 300 AI accelerator card.

The system extracts over 10 million images from city facial feature libraries and

carries out static 1:N comparison, 1:1 personal ID authentication, n:N cross

comparison, dynamic blacklist monitoring, and real-time facial recognition.

Atlas 300 supports real-time analysis of 64 HD channels for a highly integrated

system and over 50% equipment room space savings.

Atlas 300 AI Accelerator Card Makes Metro Public Security Intelligent

Video

cloud

Police

cloud

14

AI Edge Station Enables Accurate Customer Flow Analysis for Smart Shopping Malls

Challenges

Shopping mall companies cannot quantify customer turnover, and therefore

fail to analyze the direct cause of sales fluctuation. They cannot adapt

agilely to customer needs.

Solution

Atlas 500 smart shopping mall solution: Uses AI algorithms to analyze

crowd characteristics such as human bodies, postures, and traffic, and

uses big data analytics to obtain operation status and identify customer

interest.

Quantify and visualize operation data, and clearly display business

operation problems.

Identify VIP customers and recommend products based on customer

interest to improve the sales success rate.

Adjust the rent based on the passenger flow data to ensure shop owners'

rights and interests.

Data

analytics

Backend serverAtlas 500Camera

Customer flow

statistics

15

AI Edge Station Enables Real-time Intelligent Care

Demo of real-time intelligent care for the elderly

Challenges

In scenarios such as hospitals, nursing homes, and kindergartens, real-

time intelligent care needs to be provided for specific personnel to

promptly tackle unexpected diseases and detect abnormal behavior. Video data collected by multiple cameras needs to be analyzed offline at

the edge to meet the real-time requirements.

Solution Huawei provides the Atlas 500 AI edge station intelligent care solution. It

can be directly deployed on the campus, without requiring a dedicated

equipment room.

The AI edge station is connected to cameras and provides real-time heart

rate monitoring and abnormal behavior monitoring, such as falling, long-

time sitting, and fighting. The AI edge station analyzes video data offline,

and reports alarms immediately when detecting any abnormality.

16

Information about humans, vehicles, and objects is widely collected and

analyzed intelligently and deeply, enabling functions like data collision, multi-

track integration, and multi-dimensional surveillance. In doing so, case-related

information is extracted to improve multi-dimensional and dynamic control and

prevention capabilities in urban areas.

Traffic lights are adjusted based on traffic conditions, accelerating the traffic

speed by 9% and reducing the congestion time in rush hours by 15%.

Huawei Helps Shenzhen Traffic Police Bureau

Create a City Traffic Brain

Cloud

computing

Data pool

Big data AI

Converged

command

Public security

management

and control

Video

investigationVehicle

track

Surveillance

deployment

Shenzhen Traffic Police Bureau

17

• Beijing B Tech Company uses the Atlas-based acceleration cloud service

to slash the genetic sequencing time

• The Atlas platform provides customer with 5x computing efficiency

over the traditional x86 computing platform, and reduces the overall

E2E costs by 30%

IT infrastructure

Blood sample collection

DNA extraction

Hospital/Research

institutionGenetic sequencing

company

X10 sequencing instrument

Gene conversion

DNA extraction

Atlas AI Server

Gene analysis annotation

OBS

FastQ file Result and intermediate file

BMS host

SAM/BAM files Lustre file

system

(optional)

Gene mapping and sorting

(comparison)

Atlas AI Server

EVS/SFS OBS Query

Private

Lin

e -

Tra

nsport

Cube

Tumor diagnosis

Screening for Down Syndrome

Research on microorganism

New drug R&D

Forensic examination

Genetic examination

Huawei Helps HK Bank H Build a Facial Recognition Access

Control System

Facial recognition replaces card swiping, with > 95% identification accuracy,

passage without pause

The solution supports integrated delivery and deployment, supports high-

temperature operation, and saves equipment room space by 50%, meeting the

customer's requirements of reducing cooling costs

The solution supports 32-channel video analysis and capacity expansion to over

200 cameras

The solution enables seamless interconnection with existing cameras and video

surveillance platforms, maximizing reuse of existing resourcesBasic underlying

computing resources

System software function layer

Upper-layer application layer

Static

database

creation

1:1 1:NDynamic

surveillance

Duplicate

check and

comparison

Personal ID

authentication

Identity

confirmation

Surveillance

& alarming

n:N

Passer-by

retrieval

Offline video

analysis

18

Atlas 300 AI accelerator card

Model: 3000/9000

Atlas 800 AI server

Model: 9000/9010Atlas 500 AI

edge station

Atlas 200 AI

accelerator moduleAtlas 900 AI cluster Atlas 800 AI server

Model: 3000/3010

Ascend 310

AI processor

All-scenario deployment Cloud-edge-device collaborationSuperior computing power

Ascend 910

AI processor

Atlas AI Computing Platform Portfolio

Cloud Edge Device

19

Application enablement: whole-process services

(ModelArts), layered APIs, and pre-integration

solution

All Scenarios

Consumer Device Public Cloud Private Cloud Industrial IoT DeviceEdge Computing

Full

stackCANN

Ascend

Application Enablement

Framework

Chip Enablement

IP & ChipAscend-Tiny Ascend-LiteAscend-Nano

AI applications

ModelArts

MindSpore

Ascend-MaxAscend-Mini

Atlas

MindSpore: unified training and inference

framework for device/edge/cloud (independent or

collaborative)

CANN: chip operator library and highly automated

operator development tool

Ascend: a series of AI IPs and chips with unified

and scalable architecture

Atlas: various products built on Huawei Ascend AI

processors for device-edge-cloud AI infrastructure

for all scenarios

Huawei’s Full-Stack, All-Scenario AI Solution

20

Selvopplevd AI

Copyright©2018 Huawei Technologies Co., Ltd.

All Rights Reserved.

The information in this document may contain predictive

statements including, without limitation, statements regarding

the future financial and operating results, future product

portfolio, new technology, etc. There are a number of factors that

could cause actual results and developments to differ materially

from those expressed or implied in the predictive statements.

Therefore, such information is provided for reference purpose

only and constitutes neither an offer nor an acceptance. Huawei

may change the information at any time without notice.

把数字世界带入每个人、每个家庭、每个组织，构建万物互联的智能世界。

Bring digital to every person, home, and organization for a fully connected, intelligent world.

Thank you.

“Tre logikere kom inn på en bar…”