Shenzhen New Generation Artificial Intelligence Development Action Plan (2019-2023)
Note: This is a translation by Emmie Hine, lightly edited by Jeffrey Ding. These are informal translations and all credit for the original work goes to the authors. Others are welcome to share excerpts from these translations as long as her original translation is cited. Commenters should be aware that the Google Doc is also publicly shareable by link. These translations are part of the ChinAI newsletter - weekly-updated library of translations from Chinese thinkers on AI-related issues: https://chinai.substack.com/
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Source: Shenzhen Municipal People's Government
Date: May 29, 2019
Original Mandarin: http://www.sz.gov.cn/zfgb/2019/gb1102/content/post_5017778.html
In order to thoroughly implement the innovation-driven development strategy and the requirements for high-quality development, seize opportunities for artificial intelligence development, attain the commanding heights of artificial intelligence development, build an open innovation system for artificial intelligence technology, promote the integrated development of artificial intelligence and the real economy, create artificial intelligence industry clusters, and accelerate the construction of an international science and technology innovation center, in accordance with the State Council’s "New Generation Artificial Intelligence Development Plan" (No. 35 State Council Document [2017]) and the Ministry of Industry and Information Technology’s "Three-year Action Plan for Promoting the Development of a New Generation of Artificial Intelligence Industry (2018-2020 )” (Ministry of Industry and Information Technology [2017] No. 315) and “Guangdong Province's New Generation Artificial Intelligence Development Plan” (Guangdong Province government [2018] No. 64) and other policy measures, we formulate this action plan.
1. Guiding Ideology
In-depth implementation of Xi Jinping’s thought on socialism with Chinese characteristics in the new era, the spirit of the 19th National Congress of the Communist Party of China and the Second and Third Plenary Sessions of the 19th Central Committee, in-depth study and implementation of General Secretary Xi Jinping’s important speech to Guangdong and important instructions to Shenzhen, and further develop our city’s electronic information industry’s advantages. Take vigorous breakthroughs in core key technologies as the path forward, build an open sharing platform as the support, accelerate the application of artificial intelligence scenarios as the guide, take the cultivation of the intelligent economic system as the main orientation. Consolidate the core links such as artificial intelligence algorithms and chips. Develop artificial intelligence products such as smart homes and image recognition, promote the demonstration of artificial intelligence applications, promote the “three-in-one” development of technology research, product application and industry cultivation, and develop Shenzhen into the cradle of artificial intelligence technology innovation in our country and a leading artificial intelligence industry highland in the world.
2. Development Goals
By 2020, the city’s artificial intelligence industry scale, technological innovation capabilities and application demonstrations will be at the domestic leading level, breakthroughs will have been made in key core technologies in some fields, a number of distinctive open innovation platforms will have become industry benchmarks, and artificial intelligence will have become an important engine to promote the innovation and development of our city’s industry, forming a new economic growth point, and the comprehensive competitiveness of the artificial intelligence industry will rank in the forefront of the country. Build more than 10 innovative carriers, organize the implementation of more than 20 major technological industry development projects, introduce and cultivate 3 to 5 international top artificial intelligence teams, 5 to 10 technology-leading research institutions, and cultivate 10 leading companies in subdivisions. The scale of the core industry of artificial intelligence will exceed 10 billion yuan, driving the scale of related industries to 300 billion yuan.
By 2023, our city will achieve breakthroughs in the basic theory of artificial intelligence, and some technologies and applied research will reach the world's advanced level. The open innovation platform will become a benchmark for leading the development of artificial
intelligence, and will strongly support the Guangdong-Hong Kong-Macao Greater Bay Area to build an international technological innovation center and become a world-class pilot area for artificial intelligence applications. The artificial intelligence innovation system will have been preliminarily established, and new industries, new formats, and new models of artificial intelligence will continue to emerge. Build more than 20 innovation carriers, cultivate more than 20 leading enterprises with leading domestic technological innovation capabilities, and create 10 key industrial clusters. The scale of the core industry of artificial intelligence will exceed 30 billion yuan, driving the scale of related industries to 600 billion yuan.
3. Main Tasks
(1) Strengthen cutting-edge basic research and advance research on core key technologies
Oriented by the development needs of the artificial intelligence industry, fully consolidate the foundation for the development of the artificial intelligence industry, build an artificial intelligence manufacturing innovation center and a number of innovation carriers, forward-looking layout of the basic theories and key technological research of artificial intelligence, and enhance the industry's leading and technical support capabilities. Anticipatorily plan the tackling of basic AI theories and crucial technologies and improve industrial leadership and technical support capabilities.
a.
Strengthen basic theoretical research. Focus on the frontier orientation of major sciences of artificial intelligence, organize the implementation of major basic scientific research projects at the two levels of theory and application foundation, break through general/ shared theoretical problems in the field of artificial intelligence, and consolidate the theoretical and technical foundation of artificial intelligence science. Support development in key areas such as big data artificial intelligence, cross-media perception computing, hybrid enhanced intelligence, swarm intelligence, autonomous collaborative control and optimized decision-making, innovative architecture of autonomous intelligent unmanned systems, advanced machine learning, brain-like intelligent computing theory and methods. (Responsible unit: Municipal Science and Technology Innovation Commission)
Box 1: Basic Theoretical Research
Deep learning theory: Research deep learning, distributed learning and interaction, small sample learning, reinforcement learning, transfer learning, unsupervised learning, weakly supervised learning, active learning and other learning theories; and basic theories and methods of machine learning such as high-efficiency models.
Brain-like intelligent computing theory: Research the formation of brain-like complex systems and brain-like control theories and methods, focusing on breakthroughs in brain-like information coding, processing, memory, learning and reasoning theories; and establish new models for large-scale brain-like intelligent computing and brain inspired cognitive computing models.
Cross-media perception computing theory: Research active audiovisual perception, natural speech, humanoid, autonomous learning, reasoning engine and other perception and calculation methods, focusing on breakthrough theories and methods in low-cost and low energy consumption, complex scenes, audiovisual and speech perception in natural environments, to achieve superhuman perception and highly dynamic, high-dimensional, multi-mode distributed large scene perception.
Hybrid enhanced intelligence theory: Research human-machine hybrid enhanced intelligence, behaviour enhancement and brain-computer collaboration in human-computer intelligence symbiosis, intuitive reasoning and causal models in machines, associative memory models, and knowledge evolution methods. Develop human-machine collaborative intelligent systems, complex data and task hybrid enhanced intelligent learning methods, cloud robot collaborative computing methods, etc. Crowd intelligence theory: Research breakthroughs in crowd intelligence structure theories, methods, and algorithms, establish crowd intelligence incentive algorithms, and form a crowd intelligence theory system based on the Internet.
Autonomous collaborative control and optimal decision-making theory: Research on theories of collaborative perception interaction, control, and decision-making optimisation for autonomous unmanned systems; ternary coordination and interoperability of man-machine-objects; and form an innovative theoretical system framework for autonomous intelligent unmanned systems.
b.
Breakthroughs in crucial core technologies. Focus development on foundational software for artificial intelligence; develop data deep
search, knowledgeable deep learning, neural networks, and other core algorithms; focus on strengthening the advantages of computer vision; develop a new generation of speech recognition technology, cross-media perception technology, autonomous unmanned intelligent technology; and form a mature and complete technical system. (Responsible unit: Municipal Science and Technology Innovation Commission, Development and Reform Commission, Industry and Information Technology Bureau)
Box 2: Tackling crucial core technologies
Computer vision technology. Research human visual cognition and interactive incentives. Turn towards multi-modal biometric recognition for realistic and complex environments, multi-view target tracking, and behavior analysis in real scenes; and deep understanding, search, and learning of multi-modal data such as text/images/videos. Speech recognition technology. Research the new generation of speech recognition frameworks and the innovative applications of spoken speech recognition, personalized speech recognition, mixed audio and video, speech synthesis and other technologies.
Natural language processing technology: Research on short-text calculation and analysis technology, cross-language text mining technology and semantic understanding technology for machine cognitive intelligence, and man-machine dialogue systems for multimedia information understanding.
Cross-media perception technology. Research on intelligent service technology, focusing on breakthroughs in core technologies of knowledge processing, deep search and visual interaction; forming a cross-media knowledge graph; breakthroughs in technologies such as knowledge mining, knowledge graph construction and learning, knowledge evolution, and reasoning.
Autonomous unmanned intelligent technology. Research on common technologies such as the computing architecture of autonomous unmanned systems, the perception and understanding of complex dynamic scenes, real-time precise positioning, and adaptive intelligent navigation for complex environments. Make breakthroughs in autonomous drone control technology, auto-driving technology for automobiles and other vehicles, high-end intelligent autonomous control technology, and autonomous robotics technology.
c.
Construction of an industrial innovation center. Build an artificial intelligence manufacturing innovation center and a number of national, provincial, and municipal key laboratories, engineering research centers, and technological innovation centers and other innovation carriers. Integrate the high-quality resources of innovative R&D carriers such as enterprises, colleges and universities, scientific research institutions, and take subdivision’s key application requirements as guidance. Encourage institutions of higher learning, scientific research institutes and enterprises to cooperate in the construction of a number of artificial intelligence technology innovation platforms, carry out cooperative innovation projects in key core areas of the artificial intelligence industry chain, innovation chain, and value chain, and promote the transformation of innovation results.
(Responsible unit: Municipal Science and Technology Innovation Commission, Development and Reform Commission, Industry and Information Technology Bureau)
Box 3: Building an AI Innovation Carrier
Manufacturing industry innovation center: Relying on Shenzhen's institutions of higher learning, scientific research institutes, leading companies and other innovative entities, build an artificial intelligence manufacturing innovation center. Focusing on cutting-edge basic research, core key technologies, smart products and industry applications, carry out technical research, standard development, new product research and development, test verification, application promotion, etc., to accelerate the industrialization of technological innovations in the field of artificial intelligence.
Laboratories of focus: Lay out a number of national, provincial and municipal key laboratories, engineering research centers and technological innovation centers. Support Pengcheng Laboratory and basic research institutions to carry out interdisciplinary and large scale collaborative innovation research around artificial intelligence. Support enterprise artificial intelligence laboratories to advance the research and applications of data mining, computer vision, speech recognition, natural language processing, and machine learning.
National innovation platform: Support enterprises to accelerate the construction of the national New Generation AI open innovation platform, promote industrial empowerment and the rapid integration of artificial intelligence technology into multiple industries, drive the open sharing of related algorithms, models, and data, and guide more AI SMEs to participate in collaborative innovation.
(2) Promote the innovation of smart products and cultivate industrial clusters for cascading development.
Support the R&D and industrialization of key components and smart products such as smart chips, smart sensors, smart robots, smart drones, smart medical equipment, smart connected cars, and provide product support for industry applications. Cultivate a group of leading companies in the industry, and create an internationally competitive artificial intelligence industry cluster.
a.
Develop critical key components: Relying on the city's leading advantages in the field of integrated circuit design, focus on the development of smart chips for a variety of vertical application scenarios, and take advantage of the importance of chips in the artificial intelligence industry. Achieve breakthroughs in the common
key technologies of smart sensors; develop smart sensors for new application scenarios; and promote sensors to achieve high precision, low power consumption, low cost, and integration. (Responsible unit: Municipal Development and Reform Commission, Industry and Information Technology Bureau, Science and Technology Innovation Commission)
Box 4: Foundational core links
Smart chips: Research and develop neural network processors, high efficiency, reconfigurable brain-like computing chips and other new types of perception chips and systems, intelligent computing architectures and systems, and artificial intelligence operating systems. Achieve breakthroughs in key technologies such as core computing architecture, integrated neural network unit collaborative processing performance, ultra-high-performance SOC chips, and high performance 3D vision computing chips. Support enterprises to develop chips and solutions in the field of artificial intelligence such as big data processing, distributed storage, digital media, high-end routers, and intelligent communication chips.
Smart sensors: Support the R&D and industrial application of new types of intelligent industrial sensors such as biology, vision, force perception, and radio frequency identification, and develop smart consumer electronics sensors for 3D images, biometric recognition, video recognition, intelligent voice recognition, and ranging and positioning, and other applications. Achieve breakthroughs in brain like vision sensor technology, promote the development of high-end new sensors such as micro-electromechanical systems and high-performance optical fibers, and support the development and application of special artificial intelligence sensors for vertical application scenarios. Support enterprises in launching intelligent sensor R&D in intelligent security, robotic vision, autonomous driving, industrial medicine, and other areas.
b.
Support innovation in AI products: Support the development and industrialization of artificial intelligence products such as intelligent robots, intelligent drones, intelligent medical systems, and intelligent connected cars. Develop intelligent industrial robots and intelligent service robots, realize large-scale applications, and enter the international market. Accelerate the development and industrialization of products such as micro-drones and industrial grade smart drones. Develop intelligent medical equipment such as digital medical imaging equipment, analysis systems, diagnosis systems, and health detection systems. Develop driverless cars, focusing on cultivating and developing intelligent connected cars. (Responsible units: Municipal Bureau of Industry and Information Technology, Development and Reform Commission, Science and Technology Innovation Commission)
Box 5: AI Products
Smart robots: Develop industrial robots and intelligent equipment,
inspection and testing equipment based on artificial intelligence technologies such as image recognition and deep learning. Develop home service robots for things such as cleaning, elderly care, rehabilitation, assistance to the disabled, and children’s education, as well as public service robots for things such as inspections and guided tours, and also specializedspecialised service robots for things like fire and rescue. Support enterprises to advance the development of humanoid robots and their platform software, such as consumer-grade robots, intelligent programming robots, and commercial service robots. Smart drones: Achieve breakthroughs in crucial standard technologies such as environmental depth perception, gesture detection and recognition, and multi-sensor integration. Develop key components such as gimbals, intelligent flight control systems, intelligent unmanned flying platforms, special chips suitable for drones, and develop intelligent consumer-grade micro-drones with endurance, medium-small and medium-large industrial-grade smart drones. Support enterprises to develop global business and expand market segments in the fields of environmental protection, emergency rescue, remote sensing surveying and mapping, and resource exploration.
Intelligent medical systems: Support the research and development of medical imaging-assisted diagnosis technology in representative diseases in the brain, lungs, eyes, bones, cardio-cerebrovascular system, breasts, etc., and accelerate the commercialization and auxiliary clinical application of medical imaging-assisted diagnosis system Support the research and development of surgical robots and their operating systems. Support the research and development of surgical robots and their operating systems.
Networked smart cars: Achieve breakthroughs in the core technologies of intelligent networked vehicles in complex environment perception, intelligent decision-making and execution, and accelerate the R&D and application of key technologies such as intelligent perception system hardware, operating systems, Internet of Vehicles (C-V2X), information security, high-precision maps, and positioning. Build an intelligent vehicle platform integrating software, hardware, and algorithms.
Smart traffic systems: Research and establish a technical system for autonomous driving of commercial vehicles and vehicle-road collaboration. Research and develop a comprehensive big data application platform for multi-dimensional traffic information in complex scenarios, implement intelligent traffic diversion and comprehensive operation coordination and command, and build an intelligent traffic monitoring, management and service system covering ground, rail, low altitude, and sea transportation.
c.
Cultivate artificial intelligence enterprise clusters: Encourage leading enterprises in the field of artificial intelligence to drive the innovation and development of upstream and downstream enterprises in the industrial chain, cultivate and introduce a group of artificial intelligence unicorn enterprises and high-growth characteristic enterprises, form industry benchmarks in subdivided fields, and build a cascading enterprise ecosystem. (Responsible units: Municipal Development and Reform Commission, Industry and Information Technology Bureau, Science and Technology Innovation Commission)
Box 6: AI Industry Clusters
Cultivate industry benchmarks in subareas: Encourage leading companies to open up artificial intelligence operating systems, algorithm frameworks, common technologies and data resources, and support innovative companies to grow bigger and stronger, and develop into industry benchmarks in subareas.
Cultivate and incubate artificial intelligence enterprises: Actively introduce domestic and foreign research institutions and international first-class talent teams to settle in Shenzhen, carry out innovative and entrepreneurial activities, cultivate and incubate a large number of innovative and dynamic start-up artificial intelligence enterprises, so that they can grow into industry leaders with leading technology and distinctive characteristics.
(3) Expand smart application scenarios and deepen development of integration with the real economy
Promote the integrated application of artificial intelligence in industrial economy, citizen life, smart cities and other fields. Combining the needs of smart Shenzhen construction, expand and build a series of application scenarios for smart city operation and intelligent industrial integration, create an internationally leading integrated application pilot area, and improve public service capabilities, production efficiency, and people's livelihoods.
a. Carry out application demonstrations in key areas: Comprehensively improve the level of intelligence in various industries, and carry out pilot demonstrations of artificial intelligence applications in key areas such as smart manufacturing, smart finance, smart business, and smart logistics. Develop intelligent products and technical application services such as industrial robots and intelligent flexible production lines. Enhance the financial service capabilities of enterprises based on technologies such as machine vision and speech and semantic recognition, broaden the field of financial services, and implement intelligent, personalized, and customized financial services. Encourage enterprises to develop business intelligence analysis and decision-making services based on artificial intelligence technology. Strengthen the dynamic analysis of data, carry out the R&D, promotion, and application of intelligent logistics equipment, and promote the intelligent development of logistics business processes. (Responsible units: Municipal Bureau of Industry and Information Technology, Local Financial Supervision Bureau, Bureau of Commerce, Bureau of Transportation)
Box 7: "AI + Industrial Economy" Application Demonstration Projects Intelligent manufacturing:
Improve the intelligence level of industrial robots and high-end digital control machine tools, and develop complete sets of equipment and intelligent production lines with in-depth perception, intelligent decision-making, and automatic execution functions for intelligent manufacturing. Support manufacturing companies in applying machine learning technology to analyze and process production data to realize product quality control and intelligent management of safe production. Develop a personalized, customized service platform, improve in-depth learning and analysis capabilities for user needs, and optimize personalized combination methods and design capabilities for products. Create a networked collaborative manufacturing platform to enhance human-machine collaboration and inter-enterprise collaborative R&D, design, and production capabilities under the guidance of artificial intelligence.
Smart finance: Strengthen the application of facial recognition, voiceprint recognition, smart prediction, smart decision-making, blockchain, and other technologies in the financial field, and encourage leading financial companies to build smart financial application innovation platforms around key core elements such as technology, data, scenarios, and experts. Use advanced artificial intelligence technology to explore the innovation of financial supervision methods to effectively prevent systemic risks in the financial market. Relying on scientific and technological means, quickly detect illegal financial behaviors and accurately monitor and evaluate financial risks and credit risks. Fully leverage the role of artificial intelligence in resolving corporate financing difficulties, financing costs, financing troubles and other issues, and use technological means to provide one-stop services such as bonds, equity financing, credit inquiry, and credit rating to enterprises at different stages of development.
Smart business: Fully bring into play the city's first-mover advantage in the cross-border e-commerce industry; encourage companies to use multi-dimensional data as the basis to promote the application of new technologies such as cross-media analysis and reasoning, knowledge computing engines and knowledge services in the business field; and promote new business services and decision-making systems based on artificial intelligence.
Smart logistics: Improve the intelligent logistics distribution information platform and service system; strengthen the promotion and application of intelligent logistics equipment such as intelligent loading and unloading, sorting and packaging, processing, and distribution; and build a deep-sensing intelligent warehousing system to improve the level and efficiency of warehousing operation management.
b.
Expand innovative applications in the field of people's livelihood: Accelerate the promotion of innovative applications of artificial intelligence in the fields of healthcare, education, home furnishing, retail, etc., improve the level of intelligence in people's livelihood services, provide the public with personalized, diversified, professional, precise, and high-quality services, and create smart and livable pilot areas. Accelerate the development and application of medical imaging-assisted diagnostic technology and products, support leading companies in establishing development and innovation platforms, and promote the integrated application of artificial intelligence technology in the medical industry. Strengthen the integrated application of artificial intelligence technology and home building systems, and improve the intelligent level of building equipment and home products. Use smart technology to accelerate the reform of talent training models and teaching methods, and build a new education system that includes smart learning and interactive learning. Support the development of unmanned stores and explore the establishment of a smart retail pilot area. (Responsible units: Municipal Development and Reform Commission, Industry and Information Technology Bureau, Government Service Data Administration, Health and Health Commission, Education Bureau, Commerce Bureau)
Box 8: “AI + Citizen's Life" Construction Projects
Smart medicine: Accelerate the standardization of medical imaging data collection, and promote the productization and clinical auxiliary applications of medical imaging auxiliary diagnosis systems, intelligent diagnosis and treatment systems, and intelligent health management. Innovatively develop intelligent monitoring, prevention, and control of epidemics and common diseases; establish intelligent prediction models for diseases; and improve disease prevention and control capabilities.
Smart homes: Support smart home companies to make breakthroughs in the integration of smart sensing, data mining, machine learning, image recognition, voice recognition, natural language processing and other technologies with home products; develop smart system solutions that integrate device control and information interaction; and develop household interconnection protocols and interface standards; innovate in service models; and provide interconnected and shared solutions for vertical application scenarios such as hotels, office buildings, shopping malls, communities, and homes.
Smart education: Carry out the construction of smart education pilot demonstration schools; carry out precise teaching in robot programming and application, machine vision development, data mining, and other courses; promote personalized learning; comprehensively promote smart education; and promote the transformation of education and teaching. Promote the construction of smart campuses, and promote the application of artificial intelligence based on educational big data in the whole process of education management, teacher training, classroom application, and teaching evaluation. Encourage educational enterprises and other market entities to develop online education and training platforms based on big data intelligence, three-dimensional simulation, etc.
Smart retail: Support the development of unmanned store solutions centered on technical applications such as automatic cargo inventory, product identification, and automatic settlement, and promote the accelerated deployment of unmanned stores. Support the construction of a commodity identification platform, integrate the application of cloud computing and 5G and other technologies, create a massive commodity rapid identification engine supported by the cloud, and provide comprehensive platform support for the development of the smart retail industry. Select eligible areas to explore the establishment of smart retail pilot areas, and promote the development of the retail industry chain and supply chain towards smart and unmanned operations.
c.
Promote the integrated development of smart cities: Accelerate the deep integration of artificial intelligence, public services, and city management; focus on the construction of smart cities such as smart government affairs, smart transportation, smart security, and smart city management; and promote the modernization of social governance. Integrate infrastructure and information resources, promote the application of artificial intelligence technology in government service fields such as information forecasting, strategic decision making, and information interconnection, and create an intelligent government service model. Accelerate the openness and integration of data, carry out the research and application of comprehensive urban transportation solutions, and create an intelligent urban transportation system. Promote the in-depth application of artificial intelligence security technology, and promote the construction and application demonstration of three-dimensional security systems. (Responsible units: Municipal Services Data Administration, Transportation Bureau, Public Security Bureau, Industry and Information Technology Bureau)
Box 9: "AI + Smart City" Building Projects
Smart government administration: Make full use of the new generation of information technology and existing resources such as big data, Internet of Things and cloud computing, and coordinate the construction of a unified network of party and government agencies, government cloud computing infrastructure, security and application support platforms, basic information resource libraries, and electronic public services portals. Explore the promotion and application of artificial intelligence technology in policy evaluation, risk early warning, emergency response and other strategic decision-making, strengthen the integration of government information resources and accurate prediction of public demand, and smooth the interaction channels between the government and the public. Smart transportation: Accelerate the open integration, co-construction and sharing of data among departments, regions, and industries, gather data from the urban public, traffic management and operators, and the Internet to achieve intelligent traffic guidance and integrated operation coordination and command, and improve the level of intelligent collaborative management and control of urban transportation systems. Encourage and support third-party organizations to integrate all kinds of resource information in the city and carry out research and application of integrated intelligent transportation solutions.
Smart security: Promote the application of technologies such as video/ picture structured computing, mass portrait high-dimensional feature search, multi-dimensional big data analysis and mining, and attribute recognition in the field of intelligent security. Develop "cloud + terminal" dynamic portrait intelligent solutions and intelligent security monitoring products, and strengthen smart upgrades and transformation of security equipment in key public areas. Establish an intelligent monitoring platform to realize large-scale deployment, cluster expansion and cross-regional linkage, and improve urban operation monitoring and early warning capabilities, emergency response capabilities, and cross-domain coordination capabilities.
(4) Improve the innovation infrastructure and build a public service support platform.
Face the common needs of artificial intelligence application innovation and rely on leading AI enterprises, scientific research institutions, and institutions of higher learning to build a batch of artificial intelligence basic innovation platforms and public service platforms, forming a unified and complete supporting service force.
a. Consolidate the information infrastructure: Create a high-speed broadband, integrated, and ubiquitous information infrastructure, and build a full-coverage, high-performance artificial intelligence information infrastructure system. Support the optimization and upgrading of a new generation of intelligent information infrastructure that integrates perception, transmission, storage, calculation, and processing, based on the needs of intelligent development, so as to achieve seamless Internet access coverage for the city. Improve the infrastructure of the Internet of Things, build a big data center serving artificial intelligence enterprises, and provide massive data support for industrial development. (Responsible units: Municipal Bureau of Industry and Information Technology, Development and Reform Commission, Science and Technology Innovation Commission, Government Service Data Administration)
Box 10: Artificial Intelligence Information Infrastructure
Next-generation network infrastructure: Accelerate the implementation of the "Broadband Shenzhen" action plan, comprehensively promote the large-scale commercialization of IPv6, actively carry out 5G network trial commercialization and commercial deployment promotion, support participation in the construction of national multi-orbit broadband satellite communication networks, and create an information network that integrates world and earth and seamless coverage.
IoT infrastructure: Improve low-latency; high-throughput transmission capabilities; coordinate the deployment of NB-IoT, radio frequency identification, infrared sensors and other IoT sensing facilities and information collection systems; build a distributed resource sharing information resource library; and create a safe, controllable, and internationally competitive IoT innovation service system.
High-performance computing infrastructure: Build a sustainable high performance computing application environment and enhance the service support capabilities of the National Supercomputing Shenzhen Center for artificial intelligence applications. Relying on the supercomputing center, we will accelerate the provision of powerful computing support for various artificial intelligence application research, encourage enterprises to independently build computing clusters, and enhance the city's basic artificial intelligence service capabilities.
Urban big data center: Build a unified, efficient, safe, reliable, and on-demand municipal big data center to realize the comprehensive aggregation and integration of urban perception data, government data, and social data, and provide basic data services such as population, housing, legal person, and geographic information for various departments. Accelerate the opening of government data and encourage the construction of data application platforms in various industries such as transportation and finance. Support enterprises in providing value-added services to citizens based on open government data and form a new governance model of social co-governance.
b. Build an open innovation platform: Focusing on the core requirements of open data, common technology research and development, and resource interoperability in the artificial intelligence industry, build an open source, open, shared and collaborative artificial intelligence innovation service platform. Support leading companies to establish an open sharing platform for industry data resources, and provide high-quality training resource libraries, standard test data sets, and cloud service platforms for industrial, medical, financial, and transportation applications. (Responsible units: Municipal Development and Reform Commission, Industry and Information Technology Bureau, Science and Technology Innovation Commission, Government Service Data Administration)
Box 11: Guangdong-Hong Kong-Macao Greater Bay Area (Shenzhen) Artificial Intelligence Open Innovation Platform
Core data collection platform: Relying on the National Information Center and connecting with government affairs data such as related taxation, market supervision, customs, social credit, public resource transactions, intellectual property rights, etc., build a national public data open website Guangdong-Hong Kong-Macao Greater Bay Area sub-station, and explore the central-district data resource sharing mechanism. Collect medical, financial, transportation and other industry data, build a dynamic ontology feature library and a standard data resource library, form a big data resource pool, provide various types of data required for algorithm training for artificial intelligence SMEs and application developers, and help quickly implement government affairs and industry artificial intelligence solutions.
Algorithmic convergence on the core platform: Adhere to the innovative thinking of cross-industry integration and open intelligence; analyze and track the development path of artificial intelligence algorithms; place deep learning, reinforcement learning, migration learning and other cutting-edge algorithms at the core; gather international top algorithm resources through various means; and form a world-leading AI "intelligence crowdsourcing" platform based in Shenzhen that covers the bay area.
Open core platform for computing power: Adhere to the overarching ideas of government guidance, market operation, and openness and sharing. Based on meeting the common computing power needs of SMEs in algorithm development, iterative optimization, and testing, and by providing front-end computing platform selection testing, mid-end computing resources public services, and back-end social computing power resource docking, solve the problem of high cost of artificial intelligence algorithm development, iterative optimization and test computing power for small and medium-sized enterprises to a certain extent.
c. Deploy a public service platform: Focusing on the needs of artificial intelligence industry standard formulation, intellectual property services, inspection and testing, industry exchanges, etc., support service platformization and centralized development, build artificial intelligence public service platforms, create artificial intelligence service chains, and enhance public service capabilities. (Responsible units: Municipal Market Supervision Bureau, Industry and Information Technology Bureau)
Box 12: Artificial Intelligence Public Service Platform Technical
Standard service platform: Build a technical standard service platform and improve the technical standard system of fundamental commonality, interconnection, industry application, network security, privacy protection, etc. Carry out the assessment of the intelligence level of artificial intelligence systems, and accelerate the standardization of intelligent finance, intelligent medical care, and intelligent robots.
Intellectual property service platform: Establish an intellectual property operation system and public service platform for the artificial intelligence industry, and guide enterprises to strengthen their strategic reserves of artificial intelligence intellectual property rights. Explore the securitization of artificial intelligence intellectual property rights, and encourage enterprises to comprehensively use patents, copyrights, trademarks, and other intellectual property methods to build their own brands.
Inspection and testing service platform: Build inspection and testing platforms for intelligent sensors, intelligent robots, intelligent connected cars, intelligent transportation and other fields, and a new generation of artificial intelligence software and information security inspection service platforms. Develop systematic testing methods and indicator systems around the complexity, risk, uncertainty, interpretability, and potential economic impact of design, products, and systems. Promote artificial intelligence safety certification and evaluate artificial intelligence products and systems’ key performance.
Industry exchange service platform: Build a communication platform for the artificial intelligence industry, and hold high-level artificial intelligence industry conferences, entrepreneur summits, special exhibitions, and forums. Build a competition roadshow platform, regularly organize technical competitions for multi-application scenarios, and encourage the winning teams to land in Shenzhen.
(5) Gather and cultivate high-end talents to create an AI talent highland
Accelerate the introduction of high-end talent teams in the field of artificial intelligence, and target the introduction of high-level artificial intelligence research and development talents at home and abroad in key core technology areas. Promote the deployment of artificial intelligence disciplines in colleges and universities and scientific research institutions, encourage the development of AI oriented talent training, and form a complete echelon training system for artificial intelligence disciplines, and comprehensively strengthen the key supporting role of talent in industrial development.
a.
Precisely introduce high-end talents: Strengthen the talent demand forecast of the artificial intelligence industry, enrich the talent introduction model, innovate the overseas high-level artificial intelligence talent introduction mechanism, and rely on the intelligence introduction project to achieve the precise introduction of high-end artificial intelligence talents in key core technology areas. (Responsible unit: Municipal Science and Technology Innovation Commission, Human Resources Security Bureau)
Box 13: Introduce high-end innovative talents
Establish and dynamically update a catalog of urgently needed, scarce talents; strengthen the talent evaluation system based on market discovery, market recognition, and market evaluation; build an artificial intelligence talent evaluation mechanism; and introduce leading talent teams in key core technology areas. Strengthen cooperation with scientific research institutions in Hong Kong, Macau, and foreign countries, and focus on the introduction of top international scientists and high-level innovative teams in artificial intelligence through the intelligence introduction project. Encourage and support qualified institutions and enterprises, strengthen cooperation and interaction with the world's top artificial intelligence research institutions and enterprises, and encourage the flexible introduction of artificial intelligence talents through project cooperation and technical consultation. Innovate the overseas high-level artificial intelligence talent introduction mechanism; promote the international development of the talent system; establish a system of talent recruitment, scientific research funding, talent evaluation, and talent services that are in line with international standards; and improve safeguarding measures such as medical care, education, border entry and exit, and residency.
b. Strengthen the cultivation of talents: Build artificial intelligence disciplines, innovate talent training mechanisms, open artificial intelligence-related courses in primary and secondary schools, promote a new training model for industry-university-research cooperation, and encourage higher education institutions and leading enterprises to jointly set up artificial intelligence courses in Shenzhen to carry out professional skills training. Build a group of artificial intelligence training bases and laboratories, and cultivate a batch of potential talents in the artificial intelligence industry. (Responsible units: Municipal Education Bureau, Human Resources Security Bureau, Science and Technology Innovation Commission)
Box 14: Multi-level talent cultivation
Construct artificial intelligence disciplines: Relying on the resources of higher education institutions in Shenzhen, explore the construction of first-level disciplines according to the category of artificial intelligence science, and maintain flexibility and flexibility in setting up second-level disciplines. Appropriately increase the number of admissions for artificial intelligence-related majors, and strengthen the construction of artificial intelligence talent training infrastructure. Offer artificial intelligence-related courses in primary and secondary schools, and through methods like experience and practice, carry out universal education on AI.
Build a talent cultivation platform: Keep close to the key links of the artificial intelligence industry chain, build an interdisciplinary and cross-professional scientific research platform, and strengthen the cooperative research and collaborative innovation of scientific research personnel between disciplines, colleges, and inside and outside academia.
Build artificial intelligence training bases; encourage universities, research institutes and enterprises to jointly develop talents; and strengthen multi-level talent reserves.
Innovative with respect to talent training mechanisms: Fully implement the "Pengcheng Talents" plan, and grant R&D funding and rewards to talent teams with superior innovative resources in the field of artificial intelligence. Actively explore the mechanism of "winner-takes-all open competition" for key core technology projects, attracting leading artificial intelligence talents and scientific research teams to "participate in the competition". Support our city’s universities, scientific research institutions, and leading scientific and technological enterprises to lead the organization or participate in international scientific plans and scientific projects.
(6) Fully study risks and challenges, and construct forward-looking ethical regulations and standards
Focus on the key links of big data security, data resource opening and utilization, and study and formulate local regulations on data disclosure, data security, data asset protection and personal privacy protection. Promote the formulation and improvement of relevant standards for the artificial intelligence industry, and promote the self-discipline of the artificial intelligence industry and enterprises. Establish an artificial intelligence safety supervision and evaluation system to realize standardized management of artificial intelligence algorithm design, product development, and application of results. (Responsible units: Municipal Services Data Administration, Industry and Information Technology Bureau, Justice Bureau, Market Supervision Bureau)
Box 15: Improve the AI Regulatory System
Improve the artificial intelligence standardization system: Carry out research on artificial intelligence management standards and regulatory systems; explore the formulation of local standards and regulations for the standardized management of artificial intelligence; ensure the transparency of the authorization and collection, calculation, application, and release of commercial data and personal information; and protect the privacy of citizens. Explore the establishment of technical development standards, programming and operation staff management standards, and accountability mechanisms. Regulate the data processing behavior of data controllers, establish an independent data supervisory authority and a complete data supervisory system framework for data subjects to complain to that will hear and process cases.
Build an artificial intelligence standard system. Research and formulate technical standards for basic commonality, interconnection, industry applications, network security, and privacy protection. Accelerate the standardization of smart finance, smart medical care, smart connected cars, smart robots and other sub-fields, and carry out the assessment of the intelligence level of artificial intelligence systems. Encourage enterprises, research institutions, standardization organizations, and industry organizations to actively participate in international standardization work in the field of artificial intelligence, and establish standards exchange and cooperation mechanisms with the International Organization for Standardization and influential international academic and industrial organizations.
Strengthen the establishment of corporate data protection systems: Support companies to improve their internal data protection compliance systems, and encourage companies to pay attention to data subjects’ right to consent, access, correction, right to be forgotten, right to restrict processing, right to objection, and right to automated self determination when conducting business. Controllers and processors shall fulfill their legal obligations to adopt legal, fair and transparent technical and organizational measures to protect data rights.
Organize forums on artificial intelligence ethics and safety: Organize special research topics and special forum activities, invite domestic and foreign artificial intelligence experts, ethics experts, and consulting institutions to conduct seminars on the impact of artificial intelligence on personal privacy, social ethics, and laws, and improve societal and industry’s level of understanding of AI and awareness of safety risks awareness.
(7) Optimize the industrial space layout and create an artificial intelligence innovation ecology
Fully bring into play the resource endowments and comparative advantages of each district, and accelerate the optimization of the artificial intelligence industry layout, relying on the Shenzhen Bay Area and Nanshan Park in Shenzhen High-tech Zone, Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone, Luohu Artificial Intelligence Industrial Base, Yantian Artificial Intelligence Industrial Base, Baoan Lixinhu Intelligent Equipment Future Industry Cluster, Banxuegang Science and Technology City, Longhua Artificial Intelligence Industry Base, Pingshan Artificial Intelligence Industry Base, Guangming Artificial Intelligence Industry Base, and Shenshan Bay Robot Town.
Form a "headquarters base + R&D incubation + high-end manufacturing" spatial pattern of "one axis, two corridors and multiple nodes,” build an artificial intelligence industrial park, give full play to the role of Shenzhen Software Park, and guide the industry to adapt to local conditions, feature clusters, and regional coordinated development. [Responsible units: Municipal Bureau of Industry and Information Technology, Development and Reform Commission, Science and Technology Innovation Commission, District Governments (New District Management Committee), Shenzhen-Shantou Special Cooperation Zone Management Committee]
Box 16: Artificial Intelligence Industry Demonstration Zones
Shenzhen High-tech Zone’s Shenzhen Bay Area and Nanshan Park: Focus on promoting R&D and innovation of autonomous unmanned system intelligent technology and virtual reality intelligent modeling technology, building supercomputing centers, basic data and security testing platforms, etc., and building bases for artificial intelligence headquarters.
Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone: Carry out pilot demonstrations of innovative applications of artificial intelligence in multiple fields, accelerate the in-depth application of artificial intelligence, create a smart economy and intelligent society test area, form a safe and convenient intelligent environment, and explore the construction of an artificial intelligence society with rich and diverse precision smart services, a high level of smart social governance, safer and more efficient social operations, and higher job quality and comfort in an artificial intelligence society.
Luohu Artificial Intelligence Industry Base. Focus on the development of facial recognition, speech recognition, blockchain and financial artificial intelligence, intelligent medical care and other fields; build artificial intelligence public technology platforms and other innovative carriers; and build artificial intelligence R&D incubation bases.
Yantian Artificial Intelligence Industry Base: Relying on key enterprises, focus on the development of artificial intelligence technology resource open platforms, artificial intelligence vision applications, artificial intelligence medical treatment, and intelligent equipment research and development, etc., to create an artificial intelligence technology research and development, transformation and application cluster area and a Shenzhen-Hong Kong artificial intelligence industry innovation center.
Baoan Lixinhu Intelligent Equipment Future Industry Cluster: Relying on key enterprises and focusing on the development of complete sets of technical equipment in key fields such as machinery, automobiles, electronics, aviation, and military industries, build a nationally known laser equipment and intelligent equipment manufacturing industrial base.
Banxuegang Science and Technology City: Relying on leading enterprises; encouraging empowerment of small and medium-sized enterprises and mid-downstream enterprises; opening up artificial intelligence and big data capabilities; focusing on the development of a new generation of information industry based on intelligent manufacturing equipment and systems, high-end software, and intelligent terminals, create an artificial intelligence research and development incubation base.
Longhua Artificial Intelligence Industry Base: Lay out the international scientific and technological achievements transfer and transformation zone, the national intelligent manufacturing demonstration zone and the Shenzhen artificial intelligence industry cluster area, aiming at the high-end manufacturing links of the artificial intelligence value chain, promote the application of intelligent robots, intelligent terminals, intelligent equipment, intelligent medical and other industries, and create a high-end AI manufacturing core base.
Pingshan Artificial Intelligence Industry Base: Relying on key enterprises in the field of robotics and intelligent manufacturing, focus on the development of the intelligent manufacturing industry, and build a world-renowned robotics industry gathering base.
Guangming Artificial Intelligence Industry Base: With the Guangming Science City as the center, in key areas such as intelligent service robots, intelligent drones, and medical image-assisted diagnosis systems, accelerate the deployment and support the construction of a batch of application innovation platforms to promote breakthroughs in the research and development of core artificial intelligence technologies; focus on the development of intelligent manufacturing industries such as high-performance servers, storage equipment, industrial control computers, complete sets of electronic manufacturing equipment, and complete sets of automated logistics equipment.
Shenshan Bay Robot Town: Led by high-tech industries such as robotics and artificial intelligence, we will build a characteristic town of the entire robot industry chain that integrates robot R&D and design, incubation acceleration, manufacturing, system integration, terminal applications, exhibitions, and other functions.
4. Safeguarding Measures
(1) Strengthen organization and coordination
Give full play to the role of the Municipal Science and Technology Industry Development Leading Group, and coordinate the promotion of artificial intelligence innovation and development. Establish an artificial intelligence expert advisory committee. Establish a regular contact mechanism between artificial intelligence experts and key enterprises. Coordinate the resources of various districts (new districts) and the Shenzhen-Shantou Special Cooperation Zone, promote the establishment of artificial intelligence industry development alliances, and promote the smooth implementation of various projects. Establish a linkage mechanism between cities and districts, strengthen the connection with the state and the implementation of the New Generation AI Development Plan in Guangdong Province, and guide various districts (new districts), Shenzhen-Shantou Special Cooperation Zone, and related departments to form a joint force.
(2) Increase financial support
Give full play to the supporting role of municipal financial special funds, establish an industry support system that conforms to the rules of the World Trade Organization and relevant international trade standards, and actively carry out artificial intelligence special support plans. Strengthen the management, supervision and performance evaluation of special fund projects. Strengthen policy convergence; while bringing to bear the guiding role of public finances, various government industrial funds, capital pools, financing tools, etc. should focus on artificial intelligence and give full play to the role of various investment tools. Encourage leading enterprises and specialized investment institutions to establish market-oriented funds, promote social capital to participate in the development of the artificial intelligence industry, and provide enterprises with financial support, mergers and acquisitions, and other services.
(3) Strengthen industry tracking
Strengthen the tracking, monitoring and analysis of the implementation of the action plan, strengthen dynamic management, and improve the effect of implementation. Build a tracking research platform for the artificial intelligence industry, pay close attention to the cutting edge technologies and development trends of the artificial intelligence industry, and provide decision-making support for the city's timely and dynamic adjustment of industrial development priorities. Explore the establishment of an artificialof artificial intelligence industry statistical indicator system and statistical system, strengthen industrial monitoring and statistical analysis, and provide basic support for monitoring, evaluation, and policy formulation.
(4) Improve the legal environment
Fully study the security risks, legal risks, and ethical risks of the deep integration of artificial intelligence with the real economy, citizen life, and urban operation; explore the establishment of artificial intelligence and big data application supervision mechanisms; and formulate operational norms that are conducive to the healthy development of artificial intelligence. Strengthen the protection of intellectual property rights in the field of artificial intelligence, and promote the transfer and transformation of intellectual property rights in artificial intelligence. Establish an artificial intelligence intellectual property alliance, build and operate a patent pool, and cultivate high-value patents. Improve the construction of the artificial intelligence industry standard system and explore, research, and formulate technical standards and application specifications in data processing standards, basic hardware facilities, application services, and security and privacy.
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