Mobile AI. Mérouane Debbah Mathematical and Algorithmic Sciences Lab, Huawei, France. 11 h of June, 2018

Transcription

1 Mobile AI Mérouane Debbah Mathematical and Algorithmic Sciences Lab, Huawei, France 11 h of June,

2 Huawei [Wow Way] 180,000 Employees 80, No. 70 No. 83 R&D employees Countries R&D Institutes & Centers Interbrand's Top 100 Best Global Brands Fortune Global 500 2

3 Huawei s Mathematical and Algorithmic Sciences Lab HUAWEI TECHNOLOGIES CO., LTD. Huawei Proprietary - Restricted Distribution Page 3

4 Industries that are Top Adopters of AI now, are expected to continue to Invest in the next 3 Years Period Sectors leading in AI today, also intend to grow their investment the most in the next 3 Years.. AI Adoption Index, Now and in the future, Source: McKinsey Global Institute AI adoption and use survey; McKinsey Global Institute analysis HUAWEI TECHNOLOGIES CO., LTD. Huawei Proprietary - Restricted Distribution Page 4

5 AI Era: Embraced by All Industries More than 3,200 AI tech enterprises (Q4 2017) Machine learning model Google: TensorFlow - TF Lite; CAFFE - CAFFE2 Apple: Core ML Smart assistants Siri, Bixby, Cortana, Google Assistant Smart chipsets Huawei: Kirin970 Qualcomm: Snapdragon 845 Google: Bristlecone 5

6 AI in Telecom Industry Algorithm Architecture HF channel map construction E2E Performance learning Network auto configuration Slice resource management Self operation Failure detection AI management platform ASFN adjustment Policy management MBB AI Slice LTE power control PAPR non-linear DTX compensation adaptation AI NE Regression Clustering Classification AI Center Trainer Learner Policy Explorer HF/LF collaboration AI Network Comp mode selection Link Adaption RAN minimal deployment RAN AI chipset AI base station AI Data AI chipset AI service Re-enforcement learning Dynamic optimization GMM/HMM Association rule mining enb AI Agent Decides action Determine state Deep Learning RDL Transfer Learning Graphic algorithms Feature Statistic Collector 1 Collects Statistics 2 Applies Action HUAWEI TECHNOLOGIES CO., LTD. Huawei Proprietary - Restricted Distribution Page 6

7 HUAWEI TECHNOLOGIES CO., LTD. Huawei Proprietary - Restricted Distribution Page 7

8 Huawei Mobile AI strategy On-Device AI Cloud AI 8

9 Huawei Mobile AI strategy Intelligent Phones Intelligent Network 9

10 Brand-new Interaction and Service models for Next Gen Phones AI + Smart phones = Intelligent Phones 2017 Intelligent phones Humanmachine interaction Service model 1998 Feature phones Physical keyboards (Computational commands) Preset functions (Simple, basic services) 2007 Smartphones Touchscreen (Touchscreen control) App stores (Countless apps downloadable) Diverse interactions (Voice/Visual interaction, etc.) Services provided (Countless services at your fingertips) 10

11 Huawei's Road to the Intelligent Phone Era Oct Mate 10 Second-gen intelligent phones Equipped with: Kirin 970: the world's first AI processor EMUI 8.0: intelligent OS Mar P20 Master Photography Powered by AI Fourth-gen intelligent phones Dec Honor Magic First-gen intelligent phones Nov Honor V10 Your Fast AI phone Face recognition Third-gen intelligent phones More on the way 11

12 Huawei Mobile AI: 4 challenges + 4 systems 4 Privacy Perception system 1 Natural Interaction Security system Secure & Private 3 Responsiveness and efficiency Power system Powerful & Efficient Cognition system 2 Accurate Services 12

13 Huawei Mobile AI: 6 Engines Decision-making Dialog Management Engine Decision-making System Engine Self-learning User Profile Engine IDE Cognition Perception Computer vision Engine Speech Language Engine Context Awareness Engine Screen (touch) Sensors (senses) Tool kit 13

14 The core value of Mobile AI: More natural interactions and proactive services 14

15 Natural Interactions Beyond the human vision Sees and recognizes Night Clear Master shot vision AI for mode with Scenarios zoom in 19 Categories Food Sunrise/Sun set Flowers Night shot Greenery Stage Fireworks performance Group photo Document scan Waterfall Sees and understands Snow Portrait Cat Dog Blue Sky Beachy Text Natural colors Close-up 15

16 Natural Interactions Just like Human Conversations Hears you Environment Users Voice search pain points: Noise Cancellation "Stop the auto screen-rotate. It's annoying." "Don't let anyone disturb me, except for Richard, between noon and 2 o'clock." "Tomorrow afternoon, remind me of that meetup for a cup of coffee with that friend. Understands you Start running now. 16

17 Cloud, Device, and Chip: A Fully Open HiAI Ecosystem for Win-Win Outcomes HiAI is an AI computing platform designed for mobile terminals, a three-layer AI ecosystem built for greater openness of service, application, and chipset capabilities. Cloud Device Chipset HUAWEI HiAI Service HUAWEI HiAI Engine HUAWEI HiAI Foundation Users Phone shipments Registered developers Developer revenue 17

18 Huawei's Network Architecture Evolution ALL Intelligence 2017 ~ SoftCOM AI Autonomous Network Service2.0 ALL Cloud 2012 ~ 2017 ALL IP 2006 ~ 2011 Single SoftCOM strategy 18

19 Vision of AN: Building a Self-Driving & Self-evolving Network New OM Engineers AN = Autonomous Network O&M System Center AI inference and analysis DevOps AI Training Global autonomy + + Industry 4.0 in the network domain Mgmt. & control center Mgmt. & control center AI inference and analysis AI inference and analysis Framework of Industry 4.0 = Agile Equipment + Intelligent Control + Smart Analysis Segment autonomy Segment autonomy Equipment Equipment Equipment Equipment data data data data 19

20 Unique Value of AI: Ability to Predict AI training Network mgmt and control Ability to predict (e.g. quality, traffic, and Availability Policies and rules Traffic prediction faults) is the core value of AI. Networks are scheduled based on unknown conditions. SLA Algorithm-based Network mgmt and control Online AI inference and data analytics Quality prediction... Goals: Prevent a fault before it happens Improve quality before it deteriorates Resource utilization Known conditions Southbound interface and data collection Fault prediction New conditions predicted by AI inference Manage traffic before congestion occurs Ultimate goal: automatic, self-optimizing, self-healing, Just like self-driving & self- network network network network evolving networks with no faults. 20

21 Five Stages for Self-Driving & Self-evolving Network L 1 Tell me what has happened Analysis Decision Manual judgment and measures Action Long-term development Milestones along the way Data input L 2 L 3 L 4 L 5 Tell me why it has happened Tell me what will happen Tell me what measures need to be taken Manual judgment and measures Manual measures Self-healing, The system solves the problem by itself Manual measures 10% automation 30% automation 60% automation 90% automation 21

22 Goals of Autonomous Network and Service 2.0. Value to end users Value to carriers Value to Huawei ROADS experience within minutes Leap in O&M efficiency New intelligent product features ABC (Always Best Connection) Leap in resource utilization Leap in service efficiency Network always available Leap in energy efficiency Continual value of the 1-trillion-dollar installed base in the network lifecycle 22

23 Thank You 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.