Eight departments: Achieve safe and reliable supply of key core technologies of artificial intelligence in China by 2027

The Zhitong Finance App learned that on January 7, eight departments including the Ministry of Industry and Information Technology issued the “Implementation Opinions on the “Artificial Intelligence+Manufacturing” Special Action. Among them, it is proposed that by 2027, China will achieve safe and reliable supply of key core artificial intelligence technologies, and the scale and level of empowerment of the industry will steadily rank among the highest in the world. Promote the in-depth application of 3-5 general models in the manufacturing industry, form characteristic and full-coverage industry models, create high-quality data sets in 100 industrial fields, and promote 500 typical application scenarios. Cultivate 2-3 ecologically leading enterprises with global influence and a group of specialized and new small and medium-sized enterprises, build a group of empowered application service providers that “understand intelligence and are familiar with the industry”, and select 1,000 benchmark enterprises. Build the world's leading open source ecosystem, comprehensively improve security governance capabilities, and contribute China's solutions to the development of artificial intelligence.

Strengthen the supply of artificial intelligence computing power. Promote the software and hardware collaborative development of smart chips, and support breakthroughs in key core technologies such as high-end training chips, end-side inference chips, artificial intelligence servers, high-speed interconnection, and intelligent computing cloud operating systems. Promote the layout of high-level intelligent computing facilities in an orderly manner, accelerate the construction of a computing power interconnection platform and a national integrated computing power network monitoring and scheduling platform, launch intelligent computing cloud service pilot projects, promote the deployment of large-scale all-in-one computers, edge computing servers, and industrial cloud computing power, and enhance the supply capacity of intelligent computing resources.

Promote application in key regions. Play the role of a national artificial intelligence innovation application pilot zone, build and open up a number of “artificial intelligence+manufacturing” application scenarios, and create a highland of innovation with industry characteristics. Relying on the advantages of the National Independent Innovation Demonstration Zone, resource gathering, and talent concentration in the National High-tech Zone, we will accelerate the large-scale implementation of new artificial intelligence products, new services, and new business formats. Support advanced manufacturing clusters, digital industrial clusters, etc. to develop artificial intelligence enabling applications, and promote regional clustering transformation and upgrading.

The original text is as follows:

Notice from eight departments including the Ministry of Industry and Information Technology on issuing the “Implementation Opinions on the “Artificial Intelligence+Manufacturing” Special Action

All provinces, autonomous regions, municipalities directly under the Central Government and planned separate municipalities, Xinjiang Production and Construction Corps industrial and information technology departments, Party Committee Internet Information Office, development and reform departments, the Department of Education (Education Commission), commercial authorities, state-owned assets authorities, market supervision bureaus (departments, committees), data management departments, and all relevant units:

The “Implementation Opinions on the “Artificial Intelligence+Manufacturing” Special Action are now being issued to you. Please implement them carefully in the light of actual practice.

Implementation Opinions on the “Artificial Intelligence+Manufacturing” Special Action

Artificial intelligence accelerates deep integration with the real economy, profoundly changes the manufacturing production model and economic shape, and has become a key variable driving industrial upgrading and reshaping the global landscape. In order to implement the “Opinions on Further Implementing the “Artificial Intelligence +” Action, accelerate the integrated application of artificial intelligence technology in the manufacturing industry, create new quality productivity, and empower new industrialization in a comprehensive, deep and high level, this implementation opinion was formulated.

I. General Requirements

Guided by Xi Jinping's ideology of socialism with Chinese characteristics in the new era, thoroughly implement the spirit of the 20th National Congress and the 20th Plenary Session of the Party, fully and accurately implement the new development concept, accelerate the construction of a new development pattern, coordinate development and safety, adhere to innovation-driven, scenario-driven, market-leading, safe and trustworthy, open sharing, inclusiveness and integration, focus on technology supply at one end, promote “intelligent industrialization”, promote “intelligent industry”, strengthen the overall industrial ecosystem, and promote the deep integration of artificial intelligence technology innovation and industrial innovation, and the deep integration of artificial intelligence technology and the “double application” of artificial intelligence technology towards empowerment”, Accelerate the intelligent, green, and integrated development of the manufacturing industry, and strongly support the construction of a manufacturing power, a cyber power, and a digital China.

By 2027, China will achieve safe and reliable supply of key core technologies of artificial intelligence, and the scale of industry and level of empowerment will steadily rank among the highest in the world. Promote the in-depth application of 3-5 general models in the manufacturing industry, form characteristic and full-coverage industry models, create high-quality data sets in 100 industrial fields, and promote 500 typical application scenarios. Cultivate 2-3 ecologically leading enterprises with global influence and a group of specialized and new small and medium-sized enterprises, build a group of empowered application service providers that “understand intelligence and are familiar with the industry”, and select 1,000 benchmark enterprises. Build the world's leading open source ecosystem, comprehensively improve security governance capabilities, and contribute China's solutions to the development of artificial intelligence.

II. Building a foundation for innovation: consolidating the foundation of artificial intelligence empowerment

(1) Strengthen the supply of artificial intelligence computing power. Promote the software and hardware collaborative development of smart chips, and support breakthroughs in key core technologies such as high-end training chips, end-side inference chips, artificial intelligence servers, high-speed interconnection, and intelligent computing cloud operating systems. Promote the layout of high-level intelligent computing facilities in an orderly manner, accelerate the construction of a computing power interconnection platform and a national integrated computing power network monitoring and scheduling platform, launch intelligent computing cloud service pilot projects, promote the deployment of large-scale all-in-one computers, edge computing servers, and industrial cloud computing power, and enhance the supply capacity of intelligent computing resources.

(2) Develop a high-level industry model. Support model training and inference method innovation, and develop high-performance algorithm models adapted to the real-time, reliability, and safety characteristics of the manufacturing industry. Cultivate major models for key industries, develop a “cloud-edge-end” model system, and continuously improve generalization capabilities. Create small models for industrial segmentation scenarios, and encourage collaborative innovation between large and small models. Promote lightweight deployment of models and accelerate application in industrial scenarios. Build a model public service platform to provide high-level model and supporting tool services.

(3) Carrying out the “Module-Digital Resonance” operation. Promote the establishment of an enterprise chief data officer system, continue to promote compliance with national standards for data management capability maturity, and consolidate the foundation of enterprise data governance. Sort out a list of data resources adapted to the needs of industry models, publish guidelines for the construction of high-quality data sets in the manufacturing industry, make good use of carriers such as the Manufacturing Digital Transformation Promotion Center, and promote the transformation of basic data into high-quality industry data collection to achieve “model factorization”. Guide enterprises to strengthen data engineering capacity building, promote the deep integration of enterprise data development and model construction, explore the establishment of an integrated mechanism for “data collaboration, model training, application development, and security assurance”, and achieve “numerical modeling”.

3. Empowering and Upgrading Intelligence: Expanding and Promoting High-Value Application Scenarios

(4) Accelerate application empowerment in key industries. Deeply carry out “in-depth” activities to empower new types of industrialization with artificial intelligence, and organize high-level experts, enterprises, research institutes and other enabling service groups to go deep into industries, regions, and parks. Build a docking platform for artificial intelligence applications to promote accurate matching between supply and demand. Refer to the “Artificial Intelligence Empowering Key Industries Transformation Guidelines” to categorize the “AI+Manufacturing” industry application panorama and transformation roadmap, accelerate the empowerment of key industries related to the manufacturing industry such as raw materials, equipment manufacturing, consumer goods, electronic information, software and information technology services, and accelerate the promotion and application of benchmarking solutions and experiences.

(5) Accelerate the transformation and upgrading of the whole process. The system sorts out key application scenarios, deepens the gradient cultivation of smart factories, promotes the deep integration of large-scale model technology into the core process of manufacturing, transforms the entire process of R&D and design (including industrial design), in-test certification, manufacturing, marketing services, and operation management, and enhances capabilities such as auxiliary design, simulation model construction, production scheduling, and predictive maintenance of equipment.

——R & D design process. The focus is on promoting intelligent assisted design, software code assisted writing, drug development, etc., to create a new personalized, low-cost, and high-efficiency R&D design model. Strengthen the construction and open source sharing of industrial R&D data sets, explore the establishment of an AI prediction results evaluation system, enhance engineering technology innovation capabilities, and unblock the “weir lake” of artificial intelligence scientific discoveries.

——Pilot test verification process. Vigorously promote the intelligent transformation of pilot tests, accelerate the application of technologies such as virtual simulation and multi-modal integration in the pilot phase, optimize process flow, improve pilot efficiency, and reduce test costs through comprehensive perception, real-time analysis, scientific decision-making and accurate execution.

——Manufacturing process. Deepen the application of artificial intelligence technology in core industrial process control, process optimization, production scheduling, etc., and promote intelligent production process analysis, decision-making, and execution. Promote industrial quality inspection technologies such as machine vision and unmanned intelligent inspection, strengthen real-time monitoring and predictive maintenance of production lines, improve the accuracy of equipment fault identification, and achieve production safety risk warning and incident warning.

——Marketing service link. Promote intelligent customer service, digital people, and three-dimensional models of products, focusing on breaking through personalized recommendations, customized after-sales, service extension, etc., and develop functions such as question-answering, training, and mediation based on artificial intelligence technology to improve pre-sales, in-sales and after-sales service experiences and enhance service value.

——Operation management process. Use big model reasoning and prediction capabilities to accelerate intelligent upgrades in order processing, sales forecasting, inventory warning, etc., and optimize supply chain management. Use large model analysis and generation capabilities to improve the enterprise's ability to manage strategy, human resources, finance, risk, etc.

(6) Raise the application level of key enterprises. Conduct an AI application readiness assessment for manufacturing enterprises, implement the “AI Application Guide for Manufacturing Enterprises”, and provide implementation paths and methodological guidelines for the intelligent transformation and upgrading of enterprises. Encourage leading enterprises, central and state-owned enterprises, etc. to try first, provide large-scale application scenarios, and explore new models and applications of artificial intelligence to empower the manufacturing industry first. Deeply implement special digital empowerment actions for small and medium-sized enterprises, support small and medium-sized enterprises to carry out digital and intelligent transformation, and accelerate the replication and promotion of artificial intelligence applications for small and medium-sized enterprises.

(7) Promote promotion and application in key regions. Play the role of a national artificial intelligence innovation application pilot zone, build and open up a number of “artificial intelligence+manufacturing” application scenarios, and create a highland of innovation with industry characteristics. Relying on the advantages of national independent innovation demonstration zones, resource gathering, and talent concentration in national high-tech zones, we will accelerate the large-scale implementation of new artificial intelligence products, new services, and new business formats. Support advanced manufacturing clusters, digital industrial clusters, etc. to develop artificial intelligence enabling applications, and promote regional clustering transformation and upgrading.

(8) Promote intelligent upgrading in key areas. Strengthen collaboration between artificial intelligence and information communication networks, promote the integration and empowerment of artificial intelligence and industrial Internet platforms, develop data sets, large models, and agents for infrastructure such as the industrial Internet, and promote the in-depth application of artificial intelligence technology in infrastructure planning, construction, operation and maintenance. Deepen the integration and application of artificial intelligence technology in the field of green manufacturing, and develop and promote intelligent green collaborative solutions for scenarios such as energy and carbon emission management and resource recycling. Build a number of industry-oriented application safety solutions, accelerate the implementation of safety models, agents, etc., build a safe operation system, and improve the level of safety in the industrial field.

4. Product Breakthrough: Building New Intelligent Products and New Business Formats

(9) Promote the iteration of intelligent equipment. Accelerate artificial intelligence to empower industrial machines and industrial robots, develop next-generation artificial intelligence numerical control systems, and enhance autonomous decision-making, analysis, and execution capabilities. Accelerate the development of surgical robots, intelligent diagnostic systems, etc., and accelerate product innovation and clinical application promotion of intelligent medical equipment. Promote the integration of artificial intelligence technology into the R&D, manufacture and operation of major technical equipment such as large aircraft and ships, and develop intelligent low-altitude equipment such as drones. Conduct tests and safety assessments of intelligent connected vehicle products equipped with autonomous driving functions, and promote product entry and road traffic pilot projects in an orderly manner.

(10) Accelerate the upgrading of smart terminals. Support technological breakthroughs such as end-side models, development and application tool chains, and cultivate artificial intelligence terminals such as smartphones, computers, tablets, and smart homes. Focus on key scenarios such as industrial inspection and telemedicine to accelerate the industrialization and commercialization process of new terminals such as augmented reality/virtual display (AR/VR) wearable devices and brain-computer interfaces. Promote innovation in personalized intelligent products, build pilot bases and training grounds for humanoid robots, build a benchmark production line for humanoid robots, and pioneer application in typical manufacturing scenarios.

(11) Build new business formats for software and smart devices. Accelerate the upgrading of traditional software products and services, expand software functions, and enhance user experience. Promote the deep integration of artificial intelligence with industrial software such as R&D design, production control, and operation management, and improve design and production efficiency. Carry out technical research and application promotion of industrial intelligence devices, create programming development agents, and promote cloud deployment of smart devices. Develop open and collaborative smart device protocols and interfaces to improve the efficiency of smart interoperability. Select a number of typical examples of industrial intelligence applications, publish enterprise-level application practice guidelines, and promote large-scale implementation of smart devices in an orderly manner. Establish an intelligent classification and hierarchical management system, explore intelligent registration discovery, identity authentication, and access management mechanisms, and guide the healthy development of new business formats.

5. Cultivating Subjects: Building the Main Force for Artificial Intelligence Development and Empowering Applications

(12) Cultivate enterprises step by step. Support enterprises to increase investment in innovation, actively undertake major national tasks, and gather resources to build ecologically leading enterprises with global influence. Develop artificial intelligence business incubators, implement entrepreneurship support programs for small and medium-sized enterprises, and cultivate more “little giant” enterprises specializing in artificial intelligence, high-tech enterprises, individual manufacturing champions, unicorn companies, and gazelle enterprises. Encourage relevant localities to provide enterprises with support such as “computing power vouchers” and “model vouchers,” strengthen public services to empower small and medium-sized enterprises, and reduce enterprise development and application costs.

(13) Build a vehicle for innovation. Build a national manufacturing innovation center in the field of artificial intelligence to enhance the supply capacity of key common technologies. Set up a number of key laboratories in the field of artificial intelligence to strengthen exploration of cutting-edge technologies such as brain-like intelligence and world models. Build national artificial intelligence application pilot bases in key industries in the manufacturing field with high quality, gather resources for industrial innovation, and accelerate the formation of a number of replicable and marketable industry solutions.

(14) Develop and empower application service providers. Improve the digital transformation service system for the manufacturing industry, build a number of artificial intelligence enabling application accelerators, cultivate high-quality enabling application service providers, create standardized enabling solutions, and provide services such as industry model optimization, data governance, and security. Industrial enterprises, artificial intelligence companies, and industrial Internet companies are encouraged to gather resources such as tools, technology, and platforms to create ecological partner service providers. Support telecom operators and central state-owned digital technology companies to improve their service capabilities and undertake industry-enabling application services. Guide relevant industry organizations, publish a directory of quality service providers on a regular basis, etc.

6. Ecological Growth: Strengthening Resource Allocation and Optimizing Industrial Ecology

(15) Strengthen standards leadership. Give full play to the role of the Artificial Intelligence Standard Committee of the Ministry of Industry and Information Technology, the National Data Standardization Committee, the Artificial Intelligence Sub-Committee of the National Beacon Commission, the Artificial Intelligence Chip Working Group of the National Integrated Circuit Standard Committee, and the New Technology Safety Standards Task Force of the National Network Security Standard Commission to strengthen the construction of standard technology organizations. Strengthen collaboration across industries and fields, and promote the development of basic standards such as safety, governance, ethics, etc., general standards such as software and hardware collaboration, and enabling application standards, and measurement technology specifications. Establish a comprehensive evaluation system for key artificial intelligence technology products and enabling applications, support the construction of an evaluation benchmark system for large models of artificial intelligence, create an authoritative evaluation list, publish evaluation results regularly, and drive iterative technology upgrades. Deeply carry out the “Artificial Intelligence Standard Campaign” campaign to strengthen the promotion and application of standards. Encourage enterprises to participate in international standardization work.

(16) Promote open source openness. Build a high-level AI open source community, deploy and implement a number of open source projects, and build an AI open ecosystem with global influence. Organize events such as developer conferences and “School Source Tour” to spread the open source concept and promote open source culture. Support the research and development of open source tools such as development kits and model applications, and promote the application of open source AI achievements.

(17) Strengthen talent promotion. Carry out talent demand forecasting in the artificial intelligence industry, publish talent demand forecasting reports, and support universities to lay out, adjust and optimize relevant disciplines and majors in advance. Build and make good use of the National Institute of Artificial Intelligence, the National Artificial Intelligence Industry-Education Integration Innovation Platform, the National Institute of Outstanding Engineers, etc., set up professional courses to cultivate complex talents who understand both artificial intelligence and manufacturing applications, improve artificial intelligence cognitive education and training, and enhance the artificial intelligence literacy and skills of all employees. Strengthen the training of highly skilled talents in the field of artificial intelligence, rely on relevant national talent projects and projects, train leading scientific and technological talents and innovative teams, build a new model for training leading talents unconventional, and actively introduce high-end talents from overseas.

7. Safety Escort: Building Strong Applications to Empower Safety and Security

(18) Improve safety and security capabilities. Research key technologies such as in-depth synthetic authentication, industrial model algorithm security protection, training data protection, adversarial sample detection, and smart terminal security evaluation to strengthen data security management and enhance artificial intelligence security protection capabilities. Build resources such as safety risk banks and corpus, and build a large model of industrial safety. Through knowledge base optimization, corpus error correction, generation of synthetic 9-volume logos, etc., the transparency and interpretability of artificial intelligence are enhanced, and the risk of illusions is reduced. Implement AI science and technology ethics management service measures, strengthen industry self-discipline, and enhance the ability of enterprises to prevent artificial intelligence ethical risks.

(19) Establish a safety management mechanism. Research and formulate safety policy standards such as artificial intelligence classification, evaluation, and emergency response in the industrial and information technology fields, and support local authorities to explore flexible management mechanisms. Establish artificial intelligence security risk monitoring and early warning technology capabilities, and strengthen risk monitoring, investigation and prevention. Formulate work guidelines for reporting and sharing artificial intelligence security risk information in the field of industry and informatization, coordinate the forces of all links in the industrial chain, and strengthen information sharing, risk notification, and collaborative handling.

8. International Cooperation: Shaping New Competitive Advantages for International Cooperation

(20) Promote superior industries to go global at a high level. Encourage enterprises to customize artificial intelligence products and enabling application solutions according to the characteristics of different countries and regions. Launch an “overseas version” of artificial intelligence to enable advanced industrialization, support industry organizations and professional institutions to provide supporting services for enterprises to go overseas, guide enterprises to efficiently carry out various types of technical verification and compliance certification, and better serve the orderly development of the industry.

(21) Build a platform for international cooperation. Actively participate in discussions on artificial intelligence issues under multi-bilateral cooperation mechanisms such as the BRICS, the SCO, ASEAN, the Group of Twenty, and the Asia-Pacific Economic Cooperation Organization. Support the organization of high-end competitions, exhibitions, and conferences with global influence, such as the World Artificial Intelligence Conference and the Humanoid Robot Contest, according to regulations, and actively promote China's artificial intelligence benchmark cases. Build the China-BRICS Artificial Intelligence Development and Cooperation Center with high quality, raise the level of practical cooperation, and promote the collaborative development of global industries.

9. Safeguard Measures: Strengthening Comprehensive Policy Support and Safeguards

Establish a work promotion mechanism for departmental cooperation, central-local linkage, and industrial collaboration, encourage local authorities to formulate policies and measures according to local conditions, guide enterprises to develop in a dislocated position, and prevent “internal rolling” competition in the industry. Coordinate existing funding channels and arrange to support technology research and development and enabling application tasks related to “artificial intelligence+manufacturing”. Play the role of the National Artificial Intelligence Industry Investment Fund, enrich reserves of high-quality projects, and attract and drive more social capital to increase investment in an orderly manner. Carry out large-scale application demonstration actions for new technologies and new products in new scenarios, make good use of the first (set), first batch, and first edition application policies, promote the promotion, application and iterative upgrading of new technologies and products, and unleash the potential demand in the domestic market. Carry out scale estimation of the artificial intelligence industry, establish an application monitoring and evaluation index system, improve the AI industry monitoring and analysis platform, and dynamically monitor global industrial development trends.

This article was selected from the “Ministry of Industry and Information Technology” official website, Zhitong Finance Editor: Jiang Yuanhua.