DOCSLIB.ORG

Scenarios and Potentials of AI's Commercial Application in China

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Scenarios and Potentials of AI's Commercial Application in China Scenarios and Potentials of AI’s Commercial Application in China Contents 1. China’s AI industry overview 1 2. Industry-specific commercial application 5 3. Regions’ potentials of commercialization 14 Scenarios and Potentials of AI’s Commercial Application in China | China’s AI industry overview 1. China’s AI industry overview Globally, governments are mapping Figure 1. Global AI market size out national strategies on developing (RMB100 million) artificial intelligence (AI) which 6,800 becomes the new engine in the future 7,000 of world economy. The global AI market 6,000 is estimated to reach RMB680 billion by 2020 with a compound annual growth 5,000 4,285 rate (CAGR) of 26.2%. Meanwhile, CAGR: 26.2% 4,000 China’s AI market is expected to be RMB71 billion by 20201since its growth 3,000 2,700 from 2015, with a CAGR of 44.5% from 2,307 1,684 1,971 2015 to 2020. 2,000 1,000 Despite the rapid growth, China is still young in developing AI technologies. 0 Currently, the U.S. is way ahead of 2015 2016 2017 2018E 2019E 2020E China in several indicators of key AI Source: chyxx.com, Deloitte Research fields, such as global chip market share, number of talents and research Figure 2. China’s AI market size (2015-2020) capabilities. 800 710.0 700 600 500.0 500 CAGR: 44.5% 400 339.0 300 216.9 200 141.9 112.4 100 0 2015 2016 2017 2018E 2019E 2020E ■ China’s market size (RMB100 million) Source: chyxx.com, Deloitte Research 1. 2017 China’s AI Industry Data Report, China Academy of Information and Communications Technology 1 Scenarios and Potentials of AI’s Commercial Application in China | China’s AI industry overview Figure 3. The U.S. is way ahead of China in several indicators ey fields Indicators China U.S. Hardware Global market share of 4% 50% semiconductor products (2015) Financing of FPGA chip USD34.4 million (7.6% of the USD192.5 million (42.2% manufacturers (2017) global total) of the global total) Data Number of mobile 1.4 billion (20% of the 420 million (5.5% of the subscribers (2016) global total) global total) Research capability Number of AI experts 39,200 (13% of the global total) 78,200 (26% of the and paradigm global total) Proportion of speeches 20.5% of the global total 48.4% of the delivered at AAAI (2015) global total Commercialization Proportion of AI 23% of the global total 42% of the global total companies (2017) Investments gained by AI USD2.6 billion (6.6% of the USD17.2 billion (43.4% of companies (2012-2016) global total) the global total) Investments from PEs for 48% of the global total 38% of the global total startups (2017) Source: Public information, Deloitte Research 2 Scenarios and Potentials of AI’s Commercial Application in China | China’s AI industry overview Though it hasn’t been smooth sailing Category-specific problems are Practice issues are solved in for AI development, the explosive addressed in the technology layer. the application layer, in which AI growth from 2015 has been different China has experienced rapid growth provides targeted products, services from the past as AI in the new era has in the technology layer and now and solutions to industries with been commercialized, mainly driven focused primarily on computer vision, commercialization at the core. by improved computing power, top- speech recognition and language Currently, this layer makes up the level design, capital support and user processing. Many giants, including largest part in China’s AI layers by demand. Tencent, Baidu and Alibaba, have the sizes and numbers of companies. so far begun to build their own AI With an advantage of data, giants AI industrial chain falls into the platforms with the aim to extend their set about building their open-source following three layers: industry advantages in the age of AI. platforms targeted on the application Start-ups, such as SenseTime and layer; among those start-ups, Computing power is provided in the Megvii, are actively setting up their unicorns represented by SenseTime basic layer, mainly including AI chip, technology platforms and extending also expands their presence in the sensor, big data and cloud computing, their researches into the basic layer, application layer while enhancing R&D in which China is relatively weak. such as algorithm framework. efforts in the technology layer. Tech giants represented by BATJ have started to build their own AI related basic discipline labs, increase inputs to R&D and expand investments into start-ups in the basic layer. Figure 4. Four drivers for AI market growth Continuous technological Capital brings industry boom advances builds a solid The global investment and foundation for AI growth financing into AI reached In the past five to ten years, AI Computing power Investment USD39.5 billion from 1,208 technology has been financing events in 2017, of commercialized largely on the which the total amount in China back of dramatically enhanced reached USD27.71 billion from computing power thanks to 369 events. The proceeds raised the integration of improved by Chinese AI companies chip processing capability, accounted for 70% of the global accessible cloud services and total and the number of declining hardware price, such financing events took up 31%. as seniors. AI is the new engine for AI are increasingly applied the future economic growth in people’s life and Several policies have been business activities introduced to support AI since The growth of AI technologies 2015, providing large amounts satisfies the demands of of project funds for the businesses, customers and development and governments on improving implementation of AI Policy User demand living standards, business technologies and supporting AI competitiveness and talent introduction and government efficiencies. corporate innovation. Source: Deloitte Research 3 Scenarios and Potentials of AI’s Commercial Application in China | China’s AI industry overview Figure 5. China’s AI industrial chain map Hard asy Basic layer Technology layer Application layer Hardware Software Software Hardware Software Sensor Cloud, data Speech recognition Healthcare Hesai and algorithm iFLYTEK Unisound SoundAI Truking Radmedical Bangeyisheng 12Sigma LeiShen DeePhi Tech Mobvoi Sinovoice AI Speech TINAVI Jianpei Huiyihuiying.com Wingspan Intelligent CloudMinds Nanochap iFLYTEK QED Technique Infervision System Liangzijinrong. Semantic recognition and analysis Autonomous driving RoboSense com Tricorn ruyi.ai MOMENTA Uisee Technology ZongMu Technology MINIEYE SLAMTEC Toutiao.com Boson Mor.AI GTCOM Drone Customer Personalized push Turing Robot Mobvoi DJI Yuneec service Toutiao.com Mioji HerCamera Zerotech Xiao-I Robot Shangzhuangyuan Machine vision Yunwen Sing Palette Technology Chip SenseTime TuSimple Warehousing& logistics Finance MediaTek Megvii BooCax Linx Sobot Tiantiantou HiSilicon YITU Malong Technologies Libiao Robot SenseTime Horizon CloudWalk Emotibot Water Rock Technology Dingfudata Robotics Seetatech Pinguo Geek+ NBS Data Technology Cambricon Sensingtech ReadSense Industrial cooperation 10jqka.com.cn Intellifusion Tuputech LINKFACE Sublue ocean Whalestock.com Westwell Viscovery FaceThink AUBO Licaimofang Canaan VIONVISION Face all Touchnet Technology CreditX JOHAR PERCEPTIN Yi+ Technology AuthenMetric Intelligent robot Others Marketing UBTECH Xiaoyu Zaijia Prafly Jixianyuan Appier Yunnex roobo Ecovacs Zhuge.com Rokid CANBOT Others Education Shenhao 4Paradigm IrisKing yuantiku.com Yixue Education SpeakIn Hongshi Technology Xiaozhi Knowbox Apogee Tech Comprehensive company Alibaba Tencent Baidu Xiaomi JD 360 Sogou Cheetah Mobile Huawei Hard Source: Public information, Deloitte Research 4 Scenarios and Potentials of AI’s Commercial Application in China | Industry-specific commercial application 2. Industry-specific commercial application AI technologies have developed based on the following considerations: rapidly in the past five to ten years and • Does the industry generate large become widely known over time. The volumes of reliable and stable data? Moore’s law has slowed down and the business application of AI has come • Tech giants do not have an absolute into focus. As tech giants are deploying advantage over start-ups in access vertical industry applications, start- to data. ups need to identify entries and focus • Is it a hot sector attractive to on industry-specific solutions to build investors? their strengths. Deloitte expects to see the booming of AI in government • Can the products and applications administration, financing, healthcare, properly address industry pain automotive, manufacturing and retail points? Figure 6. China’s digital government market size forecasting (RMB100 million) 3,500 3,140 3,000 2,722 2,500 2,343 2,067 2,000 1,500 1,000 500 0 2015 2016 2017 2018E Source: qianzhan.com, Deloitte Research 5 Scenarios and Potentials of AI’s Commercial Application in China | Industry-specific commercial application Digital government promoting the smart governance As China is advancing digital by establishing one-stop service governance, government platforms. For example, Shenzhen administration becomes a major Municipal Public Security Bureau channel through which AI may has leveraged facial recognition establish its presence in use scenarios to simplify household registration of smart governance and public procedures and built a citywide security. High entry barriers resulting system for sharing governance from local governments imposing information and resources that pools strict requirements on providers over 3.8 billion pieces of data in 385 enable strong players to be stronger.
Load more

Recommended publications
  • Fidelity® Emerging Markets Index Fund
    Quarterly Holdings Report for Fidelity® Emerging Markets Index Fund January 31, 2021 EMX-QTLY-0321 1.929351.109 Schedule of Investments January 31, 2021 (Unaudited) Showing Percentage of Net Assets Common Stocks – 92.5% Shares Value Shares Value Argentina – 0.0% Lojas Americanas SA rights 2/4/21 (b) 4,427 $ 3,722 Telecom Argentina SA Class B sponsored ADR (a) 48,935 $ 317,099 Lojas Renner SA 444,459 3,368,738 YPF SA Class D sponsored ADR (b) 99,119 361,784 Magazine Luiza SA 1,634,124 7,547,303 Multiplan Empreendimentos Imobiliarios SA 156,958 608,164 TOTAL ARGENTINA 678,883 Natura & Co. Holding SA 499,390 4,477,844 Notre Dame Intermedica Participacoes SA 289,718 5,003,902 Bailiwick of Jersey – 0.1% Petrobras Distribuidora SA 421,700 1,792,730 Polymetal International PLC 131,532 2,850,845 Petroleo Brasileiro SA ‑ Petrobras (ON) 2,103,697 10,508,104 Raia Drogasil SA 602,000 2,741,865 Bermuda – 0.7% Rumo SA (b) 724,700 2,688,783 Alibaba Health Information Technology Ltd. (b) 2,256,000 7,070,686 Sul America SA unit 165,877 1,209,956 Alibaba Pictures Group Ltd. (b) 6,760,000 854,455 Suzano Papel e Celulose SA (b) 418,317 4,744,045 Beijing Enterprises Water Group Ltd. 2,816,000 1,147,720 Telefonica Brasil SA 250,600 2,070,242 Brilliance China Automotive Holdings Ltd. 1,692,000 1,331,209 TIM SA 475,200 1,155,127 China Gas Holdings Ltd. 1,461,000 5,163,177 Totvs SA 274,600 1,425,346 China Resource Gas Group Ltd.
    [Show full text]
  • 投英 Tou Ying Tracker 2019
    In collaboration with 投英 Tou Ying Tracker 2019 The latest trends in Chinese investment in the UK Contents Section Page About the Grant Thornton Tou Ying Tracker 3 Introduction 4 The big picture – UK remains preferred destination for Chinese investors 7 Focus on M&A and development capital deals 12 Tou Ying Tracker 2019: the largest Chinese companies in the UK 15 2019 Tou Ying 30: this year’s fastest-growing Chinese companies 17 Get ready to invest in the UK 23 Appendix A – Chinese M&A and development capital investment into the UK in 2019 25 投英 Tou Ying Tracker 2019 About the Grant Thornton 投英 Tou Ying Tracker Our 2019 Tou Ying Tracker, developed in collaboration with Of this population of 800, we then analysed those companies China Daily, identifies the largest Chinese companies in the with a turnover of £5 million or more in both of their last two UK, while the Tou Ying 30 (TY30) identifies the fastest-growing financial years in order to produce the 2019 TY30 list of fastest- companies as measured by percentage revenue growth in the growing Chinese companies in the UK. last year. We would also like to recognise the contribution to the UK To compile the 2019 Tou Ying Tracker, we started by identifying economy of the estimated 13,000 Chinese-owned companies all Chinese-owned companies that have filed an audited and 100 representative offices that fall outside the criteria for revenue figure at Companies House in at least one of the last inclusion in the Tou Ying Tracker.
    [Show full text]
  • Hikvision 2015 Annual Report
    2015 Annual Report HANGZHOU HIKVISION DIGITAL TECHNOLOGY CO., LTD. 2015 Annual Report SECURITIES ABBREVIATION: HIKVISION SECURITIES CODE：002415.SZ April 2016 1 2015 Annual Report To Shareholders In 2015, the global security industry was still rapidly upgrading products, involving new technology and product development. The market shares of Chinese security enterprises are further increasing in the global market. Under the circumstances of global macroeconomic volatility and domestic economy downturn, the Company achieved a rapid growth of 46.6% increase in revenue and 25.8% increase in net profits, compared with previous year’s operating results. Since the establishment of the Company, we have maintained a growth over 20% annually in revenue and net profits over the past 13 consecutive years, and a quarter-over-quarter increase in both revenue and net profits. It is known to us that the development of the Company is our long term objective, which means that we need to consider both short-term profits and long-term development and keep a good balance among revenue, profits and operation capabilities. We are firmly committed to the client-centered business philosophy, to create value for clients, and to bring long-term investment returns to our shareholders. We have complete confidence in the Company’s future development. Our confidence is based on our customers’ demands and trust, our commitment to the Company’s original management principle and concept, as well as all the supports received from our shareholders. It is a milestone in the development of the Company that Management Measures for Core Staff’s Investment in Innovative Business（《核心员工跟投创新业务管理办法》）has been approved by the shareholders’ meeting.
    [Show full text]
  • Prohibited Agreements with Huawei, ZTE Corp, Hytera, Hangzhou Hikvision, Dahua and Their Subsidiaries and Affiliates
    Prohibited Agreements with Huawei, ZTE Corp, Hytera, Hangzhou Hikvision, Dahua and their Subsidiaries and Affiliates. Code of Federal Regulations (CFR), 2 CFR 200.216, prohibits agreements for certain telecommunications and video surveillance services or equipment from the following companies as a substantial or essential component of any system or as critical technology as part of any system. • Huawei Technologies Company; • ZTE Corporation; • Hytera Communications Corporation; • Hangzhou Hikvision Digital Technology Company; • Dahua Technology company; or • their subsidiaries or affiliates, Entering into agreements with these companies, their subsidiaries or affiliates (listed below) for telecommunications equipment and/or services is prohibited, as doing so could place the university at risk of losing federal grants and contracts. Identified subsidiaries/affiliates of Huawei Technologies Company Source: Business databases, Huawei Investment & Holding Co., Ltd., 2017 Annual Report • Amartus, SDN Software Technology and Team • Beijing Huawei Digital Technologies, Co. Ltd. • Caliopa NV • Centre for Integrated Photonics Ltd. • Chinasoft International Technology Services Ltd. • FutureWei Technologies, Inc. • HexaTier Ltd. • HiSilicon Optoelectronics Co., Ltd. • Huawei Device Co., Ltd. • Huawei Device (Dongguan) Co., Ltd. • Huawei Device (Hong Kong) Co., Ltd. • Huawei Enterprise USA, Inc. • Huawei Global Finance (UK) Ltd. • Huawei International Co. Ltd. • Huawei Machine Co., Ltd. • Huawei Marine • Huawei North America • Huawei Software Technologies, Co., Ltd. • Huawei Symantec Technologies Co., Ltd. • Huawei Tech Investment Co., Ltd. • Huawei Technical Service Co. Ltd. • Huawei Technologies Cooperative U.A. • Huawei Technologies Germany GmbH • Huawei Technologies Japan K.K. • Huawei Technologies South Africa Pty Ltd. • Huawei Technologies (Thailand) Co. • iSoftStone Technology Service Co., Ltd. • JV “Broadband Solutions” LLC • M4S N.V. • Proven Honor Capital Limited • PT Huawei Tech Investment • Shanghai Huawei Technologies Co., Ltd.
    [Show full text]
  • MPP System Control Module User Guide /V1.0 Nulllindeni Nulllindeni Nulllindeni Nulllindeni Nulllindeni Nulllindeni Nulllindeni Nulllindeni
    nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni MPP System Control Module User Guide /V1.0 nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni Document version：V1.0 Release Date：2017.4.13 nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni Copyright © Zhuhai Allwinner Technology Co., Ltd. 2018. All rights reserved. No part or all of the contents of this document may be copied or reproduced without the written permission of the company, and may not be used.What form of communication. nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni nulllindeni Trademark statement 、Allwinner and other Allwinner trademarks are trademarks of Zhuhai Allwinner Technology Co., Ltd.All other trademarks or registered trademarks mentioned in this document are the property of their respective owners. Note The products, services or features you purchase are subject to the terms and conditions of the company and all or part of the products, services or features described in this document may not be covered by your purchase or use. Unless otherwise agreed by the contract, Allwinner Company makes no representations or warranties, nulllindeni expressnulllindenior implied, regarnulllindeniding the contentsnulllindeniof this document.nulllindeni nulllindeni nulllindeni nulllindeni The contents of this document
    [Show full text]
  • BILLING CODE 3510-33-P DEPARTMENT of COMMERCE Bureau of Industry and Security 15 CFR Part 744 [Docket No. 190925-0044] RIN 0694
    This document is scheduled to be published in the Federal Register on 10/09/2019 and available online at https://federalregister.gov/d/2019-22210, and on govinfo.gov BILLING CODE 3510-33-P DEPARTMENT OF COMMERCE Bureau of Industry and Security 15 CFR Part 744 [Docket No. 190925-0044] RIN 0694-AH68 Addition of Certain Entities to the Entity List AGENCY: Bureau of Industry and Security, Commerce ACTION: Final rule. 1 SUMMARY: This final rule amends the Export Administration Regulations (EAR) by adding twenty-eight entities to the Entity List. These twenty-eight entities have been determined by the U.S. Government to be acting contrary to the foreign policy interests of the United States and will be listed on the Entity List under the destination of the People’s Republic of China (China). DATE: This rule is effective [INSERT DATE OF PUBLICATION IN THE FEDERAL REGISTER]. FOR FURTHER INFORMATION CONTACT: Chair, End-User Review Committee, Office of the Assistant Secretary, Export Administration, Bureau of Industry and Security, Department of Commerce, Phone: (202) 482-5991, Email: [email protected]. SUPPLEMENTARY INFORMATION: Background The Entity List (15 CFR, Subchapter C, part 744, Supplement No. 4) identifies entities reasonably believed to be involved, or to pose a significant risk of being or becoming involved, in activities contrary to the national security or foreign policy interests of the United States. The Export Administration Regulations (EAR) (15 CFR parts 730-774) impose additional license requirements on, and limits the availability of most license exceptions for, exports, reexports, and transfers (in country) to listed entities.
    [Show full text]
  • NVIDIA's New Ampere Data Center GPU in Full Production
    NVIDIA’s New Ampere Data Center GPU in Full Production New NVIDIA A100 GPU Boosts AI Training and Inference up to 20x; NVIDIA’s First Elastic, Multi- Instance GPU Unifies Data Analytics, Training and Inference; Adopted by World’s Top Cloud Providers and Server Makers GTC 2020 -- NVIDIA today announced that the first GPU based on the NVIDIA® Ampere architecture, the NVIDIA A100, is in full production and shipping to customers worldwide. The A100 draws on design breakthroughs in the NVIDIA Ampere architecture — offering the company’s largest leap in performance to date within its eight generations of GPUs — to unify AI training and inference and boost performance by up to 20x over its predecessors. A universal workload accelerator, the A100 is also built for data analytics, scientific computing and cloud graphics. “The powerful trends of cloud computing and AI are driving a tectonic shift in data center designs so that what was once a sea of CPU-only servers is now GPU-accelerated computing,” said Jensen Huang, founder and CEO of NVIDIA. “NVIDIA A100 GPU is a 20x AI performance leap and an end-to-end machine learning accelerator — from data analytics to training to inference. For the first time, scale-up and scale-out workloads can be accelerated on one platform. NVIDIA A100 will simultaneously boost throughput and drive down the cost of data centers.” New elastic computing technologies built into A100 make it possible to bring right-sized computing power to every job. A multi-instance GPU capability allows each A100 GPU to be partitioned into as many as seven independent instances for inferencing tasks, while third-generation NVIDIA NVLink® interconnect technology allows multiple A100 GPUs to operate as one giant GPU for ever larger training tasks.
    [Show full text]
  • Corporate Social Responsibility Roport 2016
    This report uses environmentally friendly paper Add：China. Beijing xicheng district revival gate street No.2 P.C.: 100031 Tel.: 010-58560666 China Minsheng Banking Corp., Ltd. Fax: 010-58560690 http: //www.cmbc.com.cn TABLE OF Part II: Build a Sustainable Bank and a Time-Honored Enterprise CONTENTS 02 Message from the Chairman Targeted Poverty Alleviation: Creating Happy Life 04 Message from the President Insisting on the Mission and Promoting Poverty Alleviation 39 Conducting Financial Poverty Alleviation and Highlighting Financial 41 Power of Minsheng Bank Minsheng Moments Carrying out targeted Poverty Alleviation and Adhering to 45 38 Sustainable Development Path Corporate Profile 06 Highlights in 2016 07 06 Responsibility Management 08 Taking People as the foremost: Achieving Common Growth with Employees Respecting Talents and Protecting Basic Rights and Interests 51 Cultivating Talents and Providing Broad Development Space 52 Part I: 50 Retaining Talents and Building Minsheng Homeland 53 From the People, For the People Green Initiative and Environmental Protection: Building Beautiful Ecology Green Credit Guarantees Ecological Progress 57 Integrity for the People: Green Operation Fosters Environmental Protection Culture 58 Adhering to Sustainable Development 56 Green Public Welfare Creates Beautiful Future 61 Optimizing Governance and Regulating Management 13 Holding the Bottom Line and Keeping Stable Development 13 Innovation and Public Welfare: Returning to Shareholders and Creating Values 17 12 Building Harmonious Society Public
    [Show full text]
  • Detective 11.0 October 2018
    OXYGEN FORENSIC® DETECTIVE 11.0 OCTOBER 2018 USE NEW WHATSAPP EXTRACTION METHOD AQCUIRE IOT DEVICES WhatsApp is without doubt the most popular messenger Digital assistants are already a part of everyday life and in the world with over 1.5 billion users globally. Thus, have been successfully used to solve several crimes. extracting complete WhatsApp content from all possible Oxygen Forensic® Detective v.11 brings support for the sources is essential for any investigation. two most popular digital assistants – Amazon Alexa and Google Home. Commonly used methods of WhatsApp data acquisition involve extracting data from mobile devices and their You can access Amazon Alexa cloud using a username cloud backups. Oxygen Forensic® Detective v.11 and password or token. A token can be found on the introduces an industry-first alternative method of device’s associated computer with Oxygen Forensic® WhatsApp data extraction. KeyScout and used in Cloud Extractor. The software acquires a complete evidence set from Amazon Alexa, In the new software version, you can access complete including account and device details, contacts, messages, WhatsApp data by scanning a QR code from a mobile calendars, notifications, lists, activities, skills, etc. app or using the WhatsApp token from a PC. This token can be extracted by our KeyScout utility from the Google Home data can be extracted via Google WhatsApp desktop app or from desktop Web browsers. username/password or a master token found in mobile devices. Extracted Google Home data includes account Once data is extracted, you will be able to download and device details, voice commands, and information WhatsApp communications from the subject’s account about users.Google Home data can also be acquired from any time later when an investigation requires by using a the Google Home mobile app on Apple iOS and Android specially generated WhatsApp QR token available in the devices.
    [Show full text]
  • Totalmem),Form Factor,System on Chip,Screen Sizes,Screen Densities,Abis,Android SDK Versions,Opengl ES Versions
    Manufacturer,Model Name,Model Code,RAM (TotalMem),Form Factor,System on Chip,Screen Sizes,Screen Densities,ABIs,Android SDK Versions,OpenGL ES Versions 10.or,E,E,2846MB,Phone,Qualcomm MSM8937,1080x1920,480,arm64-v8a 10.or,G,G,3603MB,Phone,Qualcomm MSM8953,1080x1920,480,arm64-v8a 10.or,D,10or_D,2874MB,Phone,Qualcomm MSM8917,720x1280,320,arm64-v8a 4good,A103,4GOOD_Light_A103,907MB,Phone,Mediatek MT6737M,540x960,240,armeabi- v7a 4good,4GOOD Light B100,4GOOD_Light_B100,907MB,Phone,Mediatek MT6737M,540x960,240,armeabi-v7a 7Eleven,IN265,IN265,466MB,Phone,Mediatek MT6572,540x960,240,armeabi-v7a 7mobile,DRENA,DRENA,925MB,Phone,Spreadtrum SC7731C,480x800,240,armeabi-v7a 7mobile,KAMBA,KAMBA,1957MB,Phone,Mediatek MT6580,720x1280,320,armeabi-v7a 7mobile,SWEGUE,SWEGUE,1836MB,Phone,Mediatek MT6737T,1080x1920,480,arm64-v8a A.O.I. ELECTRONICS FACTORY,A.O.I.,TR10CS1_11,965MB,Tablet,Intel Z2520,1280x800,160,x86 Aamra WE,E2,E2,964MB,Phone,Mediatek MT6580,480x854,240,armeabi-v7a Accent,Pearl_A4,Pearl_A4,955MB,Phone,Mediatek MT6580,720x1440,320,armeabi-v7a Accent,FAST7 3G,FAST7_3G,954MB,Tablet,Mediatek MT8321,720x1280,160,armeabi-v7a Accent,Pearl A4 PLUS,PEARL_A4_PLUS,1929MB,Phone,Mediatek MT6737,720x1440,320,armeabi-v7a Accent,SPEED S8,SPEED_S8,894MB,Phone,Mediatek MT6580,720x1280,320,armeabi-v7a Acegame S.A.
    [Show full text]
  • Final Study Report on CEF Automated Translation Value Proposition in the Context of the European LT Market/Ecosystem
    Final study report on CEF Automated Translation value proposition in the context of the European LT market/ecosystem FINAL REPORT A study prepared for the European Commission DG Communications Networks, Content & Technology by: Digital Single Market CEF AT value proposition in the context of the European LT market/ecosystem Final Study Report This study was carried out for the European Commission by Luc MEERTENS 2 Khalid CHOUKRI Stefania AGUZZI Andrejs VASILJEVS Internal identification Contract number: 2017/S 108-216374 SMART number: 2016/0103 DISCLAIMER By the European Commission, Directorate-General of Communications Networks, Content & Technology. The information and views set out in this publication are those of the author(s) and do not necessarily reflect the official opinion of the Commission. The Commission does not guarantee the accuracy of the data included in this study. Neither the Commission nor any person acting on the Commission’s behalf may be held responsible for the use which may be made of the information contained therein. ISBN 978-92-76-00783-8 doi: 10.2759/142151 © European Union, 2019. All rights reserved. Certain parts are licensed under conditions to the EU. Reproduction is authorised provided the source is acknowledged. 2 CEF AT value proposition in the context of the European LT market/ecosystem Final Study Report CONTENTS Table of figures ................................................................................................................................................ 7 List of tables ..................................................................................................................................................
    [Show full text]
  • China's Current Capabilities, Policies, and Industrial Ecosystem in AI
    June 7, 2019 “China’s Current Capabilities, Policies, and Industrial Ecosystem in AI” Testimony before the U.S.-China Economic and Security Review Commission Hearing on Technology, Trade, and Military-Civil Fusion: China’s Pursuit of Artificial Intelligence, New Materials, and New Energy Jeffrey Ding D.Phil Researcher, Center for the Governance of AI Future of Humanity Institute, University of Oxford Introduction1 This testimony assesses the current capabilities of China and the U.S. in AI, highlights key elements of China’s AI policies, describes China’s industrial ecosystem in AI, and concludes with a few policy recommendations. China’s AI Capabilities China has been hyped as an AI superpower poised to overtake the U.S. in the strategic technology domain of AI.2 Much of the research supporting this claim suffers from the “AI abstraction problem”: the concept of AI, which encompasses anything from fuzzy mathematics to drone swarms, becomes so slippery that it is no longer analytically coherent or useful. Thus, comprehensively assessing a nation’s capabilities in AI requires clear distinctions regarding the object of assessment. This section compares the current AI capabilities of China and the U.S. by slicing up the fuzzy concept of “national AI capabilities” into three cross-sections: 1) scientific and technological (S&T) inputs and outputs, 2) different layers of the AI value chain (foundation, technology, and application), and 3) different subdomains of AI (e.g. computer vision, predictive intelligence, and natural language processing). This approach reveals that China is not poised to overtake the U.S. in the technology domain of AI; rather, the U.S.
    [Show full text]