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Chen Xing/wx525950
2020.02.25
New
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Huawei Open AI Platform for Smart Devices
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Huawei HiAI is an open artificial intelligence (AI) capability platform for smart devices, which adopts a "chip-device-cloud" architecture, opening up chip, app, and service capabilities for a fully intelligent ecosystem. This assists developers in delivering a better smart app experience for users by fully leveraging Huawei's powerful AI processing capabilities.
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After this course, you will be able to:
Master the usage of Huawei HiAI platform.
Understand the powerful functions of Huawei HiAI platform.
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AI Industry Ecosystem
Huawei HiAI Platform
Developing Apps Based on Huawei HiAI Platform
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Huge Opportunities: Foreseeable AI Ubiquity in a $3 Trillion Market
Chart: Estimated AI market scale
(Unit: $1 billion)
| Category | 人工智能市场规模预测(2016-2025) |
|---|---|
| 2016 | 126.0 |
| 2017 | 180.0 |
| 2018 | 256.0 |
| 2019 | 365.0 |
| 2020 | 520.0 |
| 2021 | 741.0 |
| 2022 | 1057.0 |
| 2023 | 1507.0 |
| 2024 | 2147.0 |
| 2025 | 3061.0 |Involved industries: automobile, finance, consumer goods and retail, medical care, education, manufacturing, communications, energy, tourism, culture and entertainment, transportation, logistics, real estate, and environmental protection
Computing power breakthrough


Algorithm breakthrough
Data breakthrough

Data source: Forrester, Transparency Market Research, Chinese Association for Artificial Intelligence, and Roland Berger
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In the past 50 years, we have experienced three AI upsurges, which were represented by man-machine games. The first one occurred in 1962 when the checkers program developed by Arthur Samuel from IBM beat the best checkers player in the United States. The second one occurred in 1997 when IBM Deep Blue beat Gary Kasparov, the world champion of chess, at 3.5:2.5. The third one broke out in 2016 when AlphaGo, a robot developed by Google DeepMind defeated the Go world champion Lee Sedol who is a player of 9 dan rank in South Korea.
Computing capability and chip improvement
Enhancement of machine learning algorithm capabilities, such as AlphaGo
Improvement in industry application and data quality
Requirement: How to bridge the gap between requirements and capabilities?
I. Opportunities
II. Challenges
1. How does the device collaborate with the cloud-side AI? (Highlight the advantages of the device.)
2. How do developers develop open AI models?
3. How can developers quickly develop AI-based applications?
4. How can we help customers improve experience through AI?
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Architecture of the AI Application Platform
AI
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Application

Finance, healthcare, security, entertainment, education, retail, agriculture, etc.
Technical Direction
Computer
Vision
Speech Processing
Natural Language Processing
Planning decision system
Big data analysis
AI Elements
Computing Power
Algorithm
Data
Basic Technology
Cloud
Computing
Big Data
Infrastructure
Server
high-performance chip
Internet, Sensor, IoT
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The four elements of AI are data, algorithm, computing power, and scenario. To meet requirements of these four elements, we need to combine AI with cloud computing, big data, and IoT to build an intelligent society.
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Challenges in AI Capability Development and Application
Low efficiency
Slow iteration
High thresholds
Diverse requests
Demanding requirements
Long training cycles
Fragmented experience
Limited capability enhancement




6 months: ML & DL
2 months: Statistics
4 months: Linear algebra
3 months: Calculus
Data collection and cleansing
Model training and optimization
Customized experience improvement
The entire training cycle must be repeated for each scenario.
Lack of inheritability or transferability
Difficulties in model upgrade
Difficulties in valid data acquisition
3–8 months
15 months
N-fold workload
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Computing capability and chip improvement
Enhancement of machine learning algorithm capabilities, such as AlphaGo
Improvement in industry application and data quality
Requirement: How to bridge the gap between requirements and capabilities?
I. Opportunities
II. Challenges
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1. How does the device collaborate with the cloud-side AI? (Highlight the advantages of the device.)
2. How do developers develop open AI models?
3. How can developers quickly develop AI-based applications?
4. How can we help customers improve experience through AI?
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AI Industry Ecosystem
Huawei HiAI Platform
Developing Apps Based on Huawei HiAI Platform
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HiAI 3.0 - Enabling Ultimate Experience in All-Scenario Smart Life

Single
Device
Multiple Devices
Distributed
Ultimate Experience
Resource Sharing
Computing Power Sharing
4000+ partners
Over 96 million daily active users
Over 600 billion monthly calls
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On November 19, Dr. Wang Chenglu, President of Huawei Consumer BG Software Engineering Dept, officially released HUAWEI HiAI 3.0 at the Software Green Alliance Developer Conference. Evolving from device-side AI to distributed AI, what will HUAWEI HiAI 3.0 bring to all-scenario smart life? This time, we will define it with "superb".
Currently, consumers are exposed to a large number of AI applications, such as voice assistant, AI photography, and image beautification. The application scenarios are limited. In fact, with the evolution from device-side AI to distributed AI, resource and computing power sharing among multiple devices will greatly expand application scenarios of device-side AI, further enabling developers to achieve more smart innovations and bringing superb experience to consumers.
HUAWEI HiAI 3.0 provides the distributed computer vision (CV) and automatic speech recognition (ASR) capabilities, which can help people exercising at home achieve an effect similar to that under personal training guidance in the gym. The distributed CV can be used to identify key elements of a human body in 3D. User can capture motion postures of multiple angles in real time by using cameras at different locations, and correct the postures by using multiple screens. With the open ASR capability, users can use the smart speaker to control the movement pace through voice interaction and further assist consumers in personal training at home.
As HUAWEI HiAI 3.0 is combined with distributed technologies, users can connect a smartphone to their car, use the camera inside the car to detect driving behavior, and use the AI chip computing power of the smartphone to remind them of dangerous behaviors such as fatigue driving. All these can be performed in an in-vehicle network environment. The lower-latency local data computing helps drivers better protect themselves.
HUAWEI HiAI 3.0 provides one-time service access and multi-device adaption experience. Users can enjoy services, such as voice assistant and HiBoard on devices including the mobile phones, tablets, smart screens, and smart speakers.
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Huawei HiAI 3.0: Enabling Distributed All Scenarios by AI



Device 40+ application programming interfaces (APIs)
Cloud 1000+ atomized services
Chip 300+ operators
Huawei HiAI Foundation
Huawei HiAI Service
Huawei HiAI Engine
Service capability openness for mutual benefits
Push services based on user requirements
in an active manner.
AI capability openness for simplicity
Integrate multiple AI capabilities into apps simply, making apps smarter and more powerful.
Chip capability openness for high efficiency
Quickly convert and migrate existing models
to obtain optimal performance based on heterogeneous scheduling and network process unit (NPU) acceleration.
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HiAI is an AI computing platform that is designed for mobile devices. It builds a three-layer AI ecosystem for greater openness of service, app, and chip capabilities. This three-layer open platform utilizes features of the chips, devices, and clouds to deliver an extraordinary experience to both users and developers.
Cloud: created once and reused multiple times;
Device: distributed and all-scenario;
Chip: stronger computing power, more operators and frameworks, and smaller models.
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HiAI Foundation
HiAI Foundation APIs constitute an AI computing library of a mobile computing platform, enabling developers to efficiently compile AI apps that can run on mobile devices.
Leveraging high performance and high precision of Kirin chips, better device-end AI performance will be delivered by more powerful computing power.
Support the largest number of operators (300+) in the industry and more frameworks, greatly improving flexibility and compatibility.
The Honghu, Kirin, and AI camera chips enable AI capabilities for more devices.

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S855 Kirin 810 Kirin 990 5G
AI running score data
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HiAI Engine
HiAI Engine opens app capabilities and integrates multiple AI capabilities into apps, making apps smarter and more powerful.
Provide handwriting recognition and dynamic gesture recognition capabilities, with 40+ underlying APIs.
Computer vision and speech recognition will develop toward a distributed mode, assisting developers in delivering more all-scenario smart life experience.

Distributed AI helps sports healthy
and safe driving
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HiAI Service
HiAI Service enables developers to reuse services on multiple devices, such as mobile phones, tablets, and large screens, with only one service access, efficiently implementing distribution.
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Architecture of the HiAI Mobile Computing Platform

Supports diverse mainstream front-end frameworks.
Provides various upper-layer function service APIs to ensure efficient running on mobile devices.
Allows flexible scheduling of heterogeneous resources, meeting developers' demand to accelerate neural network model computing and operator computing




Tool chain
Comprehensive documents
Different types of APIs
Source codes enabling quick start
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What can apps benefit from Huawei HiAI?





Ready-to-use
Security
Real time
Lower cost
Stability
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Huawei HiAI + Ctrip Help You Take Poetic Photos
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AI Capability Provider, Accelerating Application Development
Chart: Research results of developers' demands for HiAI capabilities: more than 60% pay attention to CV, ASR, NLU
| Category | 系列 1 |
|---|---|
| CV capability | 0.817 |
| ASR capability | 0.617 |
| NLP capability | 0.617 |
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Search the information in the third party application in one screen | 0.483 |
| Situational capability: LBS etc. | 0.3 |
| Recommended capability: direct service | 0.517 |
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Comprehensive Tools for Developers

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AI Industry Ecosystem
Huawei HiAI Platform
Developing Apps Based on Huawei HiAI Platform
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Huawei HiAI Helps Deaf and Mute People
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The picture is from The Silent Child, a film that won the Oscar for Best Live Action Short Film in 2018. This film is about a deaf girl called Libby, played by Maisie Sly, a little girl with hearing impairments in real life. Her family's hearing was normal. She was always the one that was ignored at home due to lack of interaction with her family. In school, she often sat alone. Even though she wants to communicate with others, she failed to make any friend.
Children with hearing disabilities cannot enjoy a good time because of physical obstacles. They cannot hear the greetings of their relatives and friends, nor can they read the words in the books. The world is silent and lonely to them. There are about 32 million deaf children around the world. They cannot hear the wonderful voice or verbally express their ideas. The way they communicate with the world is full of challenges.
It is cruel that 90% of children with hearing disabilities have healthy parents, 78% of whom are unable to communicate with their children. For children who are severely or profoundly deaf, learning and reading can be an overwhelming challenge.
Languages are learned by listening, speaking, reading, and writing. Listening is a key part for language learning. When encountering a strange word, a normal child can understand its meaning with their family's explanation, and master it by speaking the word continuously. Children with hearing disabilities, however, can only learn languages through sign language. Without the help of professional sign language teachers, they cannot communicate with normal people.
To address this issue, Huawei developed StorySign in partnership with the European Union of the Deaf, the British Deaf Association, Penguin Books and Aardman Animations among others. With Huawei HiAI's open image recognition and optical character recognition (OCR) capabilities, the lovely Star translates a text into sign language when the mobile phone reads the text from a book.
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Next Generation Mobile Experience with Huawei HiAI
Simple
Mutual Benefit
Fast
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Users with AI development capabilities can use HiAI Foundation.
Users without AI development capabilities can use HiAI Engine.
Common apps can act as service providers to use HiAI Service.
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Connecting Developers and Stimulating Innovation to Achieve Win-Win ecosystem
USD1 billion investment, stimulating innovations in all scenarios
Offline connection for in-depth communication
Innovation competition for continuous development
AI application innovation contest
Creativity contest for future application
AR application innovation contest
Salons in cities
HiAI open courses
Technical symposiums
Openness and innovation of device capabilities
All-scenario digital service innovation
Cloud service ecosystem co-construction
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According to the official introduction, Huawei has more than 4,000 HiAI partners, more than 96 million daily active users, and more than 600 billion monthly calls.
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Welcome to join us to deliver ultimate AI user experience
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We believe that AI can make life better by bringing unprecedented convenience for both back end and devices. However, this requires actual application scenarios that allow more enterprises and developers to play a part in improving user experience substantially. Huawei is willing to work with partners to jointly promote intelligent transformation of industries with more developers and enterprises based on the HiAI3.0 platform.
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