Issued by the State Council, the Notice on the Development Planning of the New Generation of Artificial Intelligence was released under Document No. Guofa [2017] 35. This document was addressed to the people's governments of provinces, autonomous regions, and municipalities directly under the Central Government, as well as the ministries and commissions of the State Council and agencies directly under the State Council. It emphasized the careful implementation of the "Development Plan for the New Generation of Artificial Intelligence." The notice was signed by the State Council and dated July 8, 2017.
The rapid development of artificial intelligence is profoundly transforming human social life and reshaping the world. To seize the strategic opportunities in AI development, China aims to secure a first-mover advantage in this field, accelerating the construction of an innovative nation and a global scientific and technological powerhouse. This plan was formulated in accordance with the deployment requirements of the Communist Party Central Committee and the State Council.
Artificial intelligence has entered a new phase of development. Over six decades of evolution, particularly with advancements in mobile internet, big data, supercomputing, sensor networks, and brain science, as well as strong socioeconomic demands, AI has accelerated its progress. It has shown new features like deep learning, cross-border integration, human-machine collaboration, open group intelligence, and self-regulation. Areas such as big data-driven knowledge learning, cross-media collaborative processing, human-computer collaborative enhancement intelligence, group integration intelligence, and autonomous intelligent systems have become focal points of AI development. Brain-brain intelligence inspired by brain science research is gaining momentum, with hardware platforms becoming more prominent. These developments mark a new era for AI.
Currently, the new generation of AI-related disciplines, theoretical modeling, technological innovation, hardware and software upgrades, etc., are driving breakthroughs, accelerating the digitization, networking, and intelligence of all aspects of the economy and society.
AI has become a focal point of international competition. As a strategic technology leading the future, major developed countries worldwide view AI development as crucial for enhancing national competitiveness and ensuring national security. By accelerating the introduction of plans and policies, these countries are strengthening deployments in core technologies, top talents, and standards and regulations to dominate the next round of international technological competition. Given the complex situation of China's national security and international competition, placing AI development at the strategic level of the national system is essential. This will allow China to seize the strategic initiative in AI development during the new stage of international competition, creating new competitive advantages and opening up new development spaces while effectively safeguarding national security.
AI has become a new engine for economic development. As the core driving force of the new round of industrial reforms, AI will release the tremendous energy accumulated from previous technological revolutions and industrial changes, creating new engines to reconstruct economic activities such as production, distribution, exchange, and consumption. The new demands for intelligence from macro to micro fields have generated new technologies, products, industries, business forms, and models, leading to major changes in the economic structure, profound changes in human lifestyles and ways of thinking, and an overall leap in social productivity. China's economic development has entered a new normal, and the task of deepening supply-side structural reform is arduous. Accelerating the deep application of AI, cultivating and expanding the AI industry, will inject new energy into China's economic development.
AI presents new opportunities for social construction. China is now in the final phase of building a moderately prosperous society in all respects. Challenges such as population aging and resource and environmental constraints remain severe. AI is widely used in education, healthcare, pensions, environmental protection, urban operations, and judicial services, greatly enhancing public service levels and improving people's quality of life. AI technology can accurately perceive, predict, and warn about major trends in infrastructure and social security operations. Timely recognition of group cognition and psychological changes and active decision-making responses will significantly improve the ability and level of social governance, playing an important role in effectively maintaining social stability.
However, the development of AI brings new challenges. As a disruptive technology with broad impacts, AI may bring issues such as changing the employment structure, impacting laws and social ethics, infringing on personal privacy, and challenging international relations norms. It will have profound effects on government management, economic security, and social stability, influencing global governance. While vigorously developing AI, we must attach great importance to possible security risks and challenges, strengthen forward-looking prevention and restraint guidance, minimize risks, and ensure the safe, reliable, and controllable development of AI.
China has a solid foundation for AI development. The government has deployed key special projects such as smart manufacturing and other national key R&D plans, issued and implemented the "Three-Year Action Implementation Plan for Internet+ Artificial Intelligence," and proposed a series of measures in terms of technology research and development, application promotion, and industrial development. After years of sustained accumulation, China has made important progress in the field of AI. The volume of international scientific and technological papers and the amount of invention patents granted rank second in the world, and key breakthrough technologies have been achieved in some areas. Voice recognition and visual recognition technologies are world-leading. The capabilities of self-adaptive learning, intuitive perception, comprehensive reasoning, hybrid intelligence, and swarm intelligence have the potential for leapfrog development. Chinese information processing, intelligent monitoring, biometrics, industrial robots, service robots, and unmanned driving have gradually entered practical applications. AI has become increasingly active in innovation and entrepreneurship, with several leading enterprises accelerating their growth and receiving extensive attention and recognition worldwide. The accelerated accumulation of technological capabilities combined with massive data resources, huge application requirements, and an open market environment have formed a unique advantage in AI development in China.
At the same time, we must soberly recognize that there is still a gap between the overall level of AI development in China and developed countries. There is a lack of significant original results, and there are large gaps in basic theories, core algorithms, key equipment, high-end chips, major products and systems, and basic materials and components, software, and interfaces. Scientific institutions and enterprises have not yet formed an ecological circle and industrial chain with international influence. They lack a systematic advance R&D layout, and AI cannot meet the needs of advanced talents. The infrastructure, policies, regulations, and standards system to adapt to the development of AI need to be improved.
In the face of new situations and demands, we must take the initiative to seek change in strain, firmly grasp the major historical opportunities for AI development, closely follow development, judge the general trend, take the initiative to plan, grasp the direction, seize the opportunities, and lead the world in the development of new trends in AI. This will contribute to economic and social development and support national security, leading to an overall leap in national competitiveness and leapfrog development.
Second, the overall requirements:
(a) Guiding Ideology:
We will fully implement the spirit of the 18th National Congress of the Party and the Third, Fourth, Fifth, and Sixth Plenary Sessions, deeply studying and implementing the spirit of General Secretary Xi Jinping's series of important speeches and the new concepts and strategies for state governance. Integrating the overall layout and the "Four Comprehensives" strategic plan, conscientiously implementing the decision-making and deployment of the Party Central Committee and the State Council, and deeply implementing the innovation-driven development strategy to accelerate the integration of AI with the deep integration of the economy, society, and national defense. Enhancing the new generation of AI scientific and technological innovation capabilities is the main direction. Developing a smart economy, building a smart society, maintaining national security, and constructing an ecosystem that supports the mutual integration of knowledge, technology, and industry groups, talents, systems, and cultures. It is forward-looking to meet the challenges of risks and promote human development. The intelligentization centered on sustainable development comprehensively enhances social productivity, comprehensive national strength, and national competitiveness, providing strong support for the construction of an innovative country and a world scientific and technological power, realizing the "two centenary goals," and the Chinese Dream of the great rejuvenation of the Chinese nation.
(b) Basic Principles:
Technology Leads: Grasping the development trend of artificial intelligence in the world, highlighting the forward-looking nature of R&D and deployment, exploring layout and long-term support in key frontier areas, striving to achieve revolutionary and disruptive breakthroughs in theories, methods, tools, systems, etc., and comprehensively enhancing the original innovation capabilities of artificial intelligence. Accelerate the construction of first-mover advantage and achieve high-end development.
System Layout: According to the different characteristics of basic research, technology research and development, industrial development, and industrial application, develop targeted system development strategies. Fully leverage the strengths of the socialist system in concentrating efforts on handling major events, promote the overall arrangement of projects, bases, and talents. The major projects that have been deployed are organically linked with new tasks. The current urgent need and long-term development succession, innovation capacity building, institutional mechanism reform, and policy environment create collaborative effort.
Market-Led: Observe the laws of the market, adhere to the application orientation, highlight the main role of enterprises in the selection of technical routes and the formulation of industry product standards, accelerate the commercialization of artificial intelligence scientific and technological achievements, and create competitive advantages. Grasp the government and market division of labor, and give better play to the government's important role in planning guidance, policy support, security prevention, market supervision, environment creation, and ethical and regulatory development.
Open Source Open: Advocate the concept of open source sharing, and promote the creation, sharing, and sharing of innovation, production, and research. Follow the law of coordinated development of economic construction and national defense construction, promote the application of military and civilian scientific and technological achievements in two-way transformation, and jointly build and share resources for military and civilian innovation, so as to form a new pattern of deep integration of military and civilian development in all factors, fields, and benefits. Actively participate in the global R&D and governance of artificial intelligence, and optimize the allocation of innovation resources on a global scale.
(c) Strategic Objectives:
In three steps:
In the first step, by 2020, the overall technology and application of artificial intelligence will be synchronized with the world's advanced level, and the artificial intelligence industry will become a new important economic growth point. The application of artificial intelligence technology will become a new way to improve people's livelihood and effectively support the entry into and implementation of innovative countries and the goal of building a moderately prosperous society in all respects.
-- The new generation of artificial intelligence theory and technology has made important progress. The basic theories and core technologies such as big data intelligence, cross-media intelligence, community intelligence, hybrid enhanced intelligence, and autonomous intelligent systems have made important progress. The artificial intelligence model methods, core devices, high-end equipment, and basic software have achieved landmark results.
-- The competitiveness of the artificial intelligence industry has entered the international first square array. Initially established artificial intelligence technology standards, service systems, and industrial ecological chains, nurturing some of the world's leading artificial intelligence backbone enterprises, the artificial intelligence core industry scale exceeds 150 billion yuan, driving the related industries scale to exceed 1 trillion yuan.
-- The artificial intelligence development environment has been further optimized, and innovative applications have been fully implemented in key areas. A number of high-level talent teams and innovation teams have been gathered, and artificial intelligence ethical codes and policies and regulations have been established in some areas.
The second step is to achieve a major breakthrough in the basic theory of artificial intelligence by 2025, and some of the technologies and applications have reached the world's leading level. Artificial intelligence has become the main driving force for China's industrial upgrading and economic transformation, and smart social construction has made positive progress.
- A new generation of artificial intelligence theory and technology systems have been initially established, and artificial intelligence with autonomous learning capabilities has made breakthroughs and has achieved leading research results in many fields.
-- The artificial intelligence industry has entered the high end of the global value chain. The new generation of artificial intelligence has been widely used in areas such as smart manufacturing, smart medical care, smart cities, smart agriculture, and national defense construction. The scale of artificial intelligence core industries exceeds 400 billion yuan, bringing the size of related industries to more than 5 trillion yuan.
-- Preliminarily establish artificial intelligence laws and regulations, ethical norms, and policy systems to form artificial intelligence security assessment and control capabilities.
In the third step, by 2030, the artificial intelligence theory, technology, and applications have reached the world's leading level and become the world's leading artificial intelligence innovation center. The smart economy and smart society have achieved remarkable results, laying an important foundation for being the forerunner of innovative countries and economic power.
-- Form a more mature new generation of artificial intelligence theory and technology system. Major breakthroughs have been made in the areas of brain-like intelligence, autonomous intelligence, hybrid intelligence, and community intelligence. They have had an important influence in the field of international artificial intelligence research and occupy the commanding heights of artificial intelligence.
-- The competitiveness of the artificial intelligence industry has reached the international advanced level. The breadth and depth of application of artificial intelligence in production, life, social governance, and national defense construction are greatly expanded, and a complete industrial chain and high-end industrial cluster covering core technologies, key systems, supporting platforms, and intelligent applications are formed. The scale of artificial intelligence core industries exceeds 1 trillion yuan, driving the size of related industries to more than 10 trillion yuan.
-- Form a group of global leading artificial intelligence technology innovation and talent cultivation bases, and establish a more complete artificial intelligence laws and regulations, ethical norms, and policy systems.
(d) Overall Deployment:
The development of artificial intelligence is a complex system project that has a bearing on the overall situation. We must follow the principle of "building a system, grasping dual attributes, adhering to the Trinity, and strengthening the four major supports" to form a strategic path for the healthy and sustainable development of artificial intelligence.
Build an open collaborative artificial intelligence technology innovation system. To address key and difficult issues such as weak theoretical foundation for originality and lack of major products and systems, a new generation of artificial intelligence basic theories and key common technology systems have been established, major scientific and technological innovation bases have been laid out, high-end artificial intelligence teams have been expanded, and collaborative activities of innovative entities have been promoted. Form Artificial Intelligence Continuous Innovation Ability.
Grasp the highly fused features of artificial intelligence technology attributes and social attributes. It is necessary to increase the R&D and application of artificial intelligence to maximize the potential of artificial intelligence. It is also necessary to anticipate the challenges of artificial intelligence and coordinate industrial policies, innovation policies, and social policies to achieve coordination between incentive development and reasonable regulation, and to minimize risks.
Adhere to artificial intelligence research and development, product applications, and industrial development "trinity" advance. Adapt to the development characteristics and trends of artificial intelligence, strengthen the deep integration of innovation chain and industry chain, technological supply and interactive interaction of market demand, promote field applications and industrial upgrading through technological breakthroughs, and promote technology and system optimization through application demonstration. While promoting technology applications and industrial development on a large scale, we will strengthen our mid-to-long-term R&D layout and research, achieve rolling development and continuous improvement, ensure theoretical advancement, occupy a commanding height in technology, and apply safety and control.
Comprehensively support science and technology, economy, social development, and national security. Breakthroughs in artificial intelligence technology will lead to an overall increase in national innovation capacity, lead the process of building a strong world of science and technology, and create a new growth cycle for China's economic prosperity in the next decade or even decades by building smart industries and fostering smart economy; the society promotes the improvement of people's livelihood and well-being, implements people-centered development ideas, uses artificial intelligence to enhance the strength of national defense, and safeguards and safeguards national security.
Third, the key tasks:
Based on the overall situation of national development, we will accurately grasp the development trend of global artificial intelligence, identify breakthroughs and major directions, comprehensively enhance the basic capabilities of scientific and technological innovation, and comprehensively expand the breadth of application of key areas, and comprehensively increase the level of economic and social development and intellectualization of national defense applications.
(1) Build an open collaborative artificial intelligence technology innovation system.
Focusing on increasing the source supply of artificial intelligence innovation, we will strengthen our deployment in terms of cutting-edge basic theory, key common technologies, basic platforms, and talent teams, promote open source sharing, systematically improve our ability for continuous innovation, and ensure that China’s artificial intelligence technology ranks among the world’s most advanced and world leaders. Artificial intelligence development makes more contributions.
1. Establish a new generation of artificial intelligence basic theoretical system.
Focusing on the major scientific frontier issues of artificial intelligence, taking into account current needs and long-term development, and focusing on breakthroughs in the basic theoretical bottlenecks of artificial intelligence applications, advance layout may trigger basic research on artificial intelligence paradigm changes, promote interdisciplinary integration, and continue to develop and deepen artificial intelligence. Applications provide a strong scientific reserve.
Break through the bottleneck of applying basic theory. Aiming at a basic theoretical direction with clear application goals and promising to lead the upgrade of artificial intelligence technology, basic theoretical researches such as big data intelligence, cross-media awareness computing, human-computer hybrid intelligence, group intelligence, autonomous collaboration and decision-making are strengthened. The theory of big data intelligence breaks through difficult issues such as unsupervised learning and comprehensive in-depth reasoning, and builds a data-driven, cognitive computing model with natural language understanding as the core, and forms the ability from big data to knowledge, from knowledge to decision-making. The theory of cross-media perceptive computing breaks through theoretical methods such as low-cost and low-energy intelligence perception, active sensing of complex scenes, natural environment auditory and verbal perception, and multimedia autonomous learning to achieve superhuman perception and high dynamic, high-dimensional, multi-modal distributed large scene awareness. . The hybrid enhanced intelligence theory breaks through the theories of situational understanding and decision-making learning, intuition reasoning and causality models, and memory and knowledge evolution. It is a breakthrough in human-computer collaboration that enables learning and thinking to approach or exceed the intelligence of human intelligence. The theory of swarm intelligence breaks through the theories and methods of group intelligence, emergence, and learning. It establishes expressible and calculable group intelligence incentive algorithms and models, and forms an Internet-based group intelligence theory system. The theory of autonomous collaborative control and optimization decision breaks through the theories of collaborative perception and interaction for autonomous unmanned systems, autonomous collaborative control and optimization decision-making, and knowledge-driven man-machine three-element coordination and interoperability, forming an autonomous intelligent unmanned system innovation Theoretical system architecture.
Basic theoretical research on layout frontier. For the direction that may trigger the change of the artificial intelligence paradigm, forward-looking layout of advanced machine learning, brain-like intelligent computing, quantum intelligent computing and other cross-domain basic theoretical research. The advanced machine learning theory breaks through theoretical methods such as adaptive learning and autonomous learning to achieve artificial intelligence with high interpretability and generalization ability. Brain-like brain computing theory mainly breaks through brain-like information coding, processing, memory, learning and reasoning theories, forming brain-like complex systems and brain-like control theories and methods, establishing a new model of brain-like brain computing and brain-inspired Cognitive computing model. The theory of quantum intelligent computing breaks through quantum-accelerated machine learning methods, establishes a hybrid model of high-performance computing and quantum algorithms, and forms an efficient and accurate autonomous quantum artificial intelligence system architecture.
Conduct interdisciplinary exploratory research. Promoting the cross-fusion of artificial intelligence with related basic sciences such as neuroscience, cognitive science, quantum science, psychology, mathematics, economics, and sociology, strengthening the study of mathematical basic theory leading the development of artificial intelligence algorithms and models, and paying attention to artificial intelligence The study of basic theoretical issues in ethics supports strong originality and non-consensual exploratory research. It encourages scientists to explore freely and dares to overcome the frontier scientific problems of artificial intelligence, and put forward more original theories to make more original discoveries.
Column 1 Basic Theory
Big data intelligence theory. Research on new methods of artificial intelligence combined with data driving and knowledge guidance, cognitive computing theory and methods based on natural language understanding and image graphics, theory and method of comprehensive depth reasoning and creative artificial intelligence, basic theory of intelligent decision under incomplete information With frameworks, data-driven general-purpose artificial intelligence mathematical models and theories.
2. Cross-media perception computing theory. Studying the acquisition of perception beyond the human visual capabilities, active visual perception and calculations for the real world, perceptual perception and computation of natural acoustic scenes, speech perception and computation in natural interactive environments, human perception and computation for asynchronous sequences, media-oriented IntelliSense Autonomous Learning, the city's full-scale intelligent perception reasoning engine.
3. Hybrid enhanced intelligence theory. Research on "human-in-loop" hybrid enhanced intelligence, human-machine intelligence symbiosis behavioral enhancement and brain-machine collaboration, machine intuition reasoning and causal model, associative memory model and knowledge evolution method, complex data and tasks, hybrid enhanced intelligent learning method, cloud Robotic collaborative computing methods, situational understanding in the real-world environment, and human-machine group collaboration.
4. Colony intelligence theory. Research group smart structure theory and organization method, group intelligence incentive mechanism and emergence mechanism, group intelligence learning theory and method, group intelligence general computing paradigm and model.
5. Autonomous collaborative control and optimization decision theory. Research on collaborative awareness and interaction for autonomous unmanned systems, collaborative control and optimization decision-making for autonomous unmanned systems, and knowledge-driven ternary synergies and interoperability of man-machine objects.
6. Advanced machine learning theory. Research theories and efficient models such as statistical learning basic theory, uncertainty reasoning and decision making, distributed learning and interaction, privacy protection learning, small sample learning, deep reinforcement learning, unsupervised learning, semi-supervised learning, and active learning.
7. Brain-like brain computing theory. Research on brain-perception, brain-like learning, brain-like memory mechanisms and computational fusion, brain-like complex systems, brain-like control and other theories and methods.
8. Quantum intelligent computing theory. Explore the quantum models and internal mechanisms of brain cognition, study efficient quantum intelligence models and algorithms, high-performance high-bit quantum artificial intelligence processors, and real-time quantum artificial intelligence systems that can interact with the external environment.
2. Establish a new generation of key common technology systems for artificial intelligence.
Focusing on the urgent need to improve the international competitiveness of artificial intelligence in China, the development and deployment of the new generation of artificial intelligence common key technologies must be based on algorithms and based on data and hardware to enhance perception recognition, knowledge calculation, cognitive reasoning, and motion execution. The human-computer interaction capability is the key, forming an open, compatible, stable and mature technology system.
Knowledge computing engine and knowledge service technology. Focus on the core technologies of knowledge processing, depth search and visual interaction to achieve automatic incremental knowledge acquisition, with concept recognition, entity discovery, attribute prediction, knowledge evolution modeling, and relational mining capabilities, forming a multi-billion-scale entity scale Multi-source, multi-disciplinary, and multi-data types of cross-media knowledge maps.
Cross media analysis reasoning technology. Focus on breakthrough cross-media unified characterization, associative understanding and knowledge mining, knowledge map construction and learning, knowledge evolution and reasoning, intelligent description and generation, and implement cross-media knowledge representation, analysis, mining, reasoning, evolution and utilization, and construct analytical reasoning engine.
Group smart key technology. Focused on breakthroughs in technologies such as mass-based collaboration, large-scale collaborative knowledge resource management and open sharing based on the Internet, and building a group knowledge-based knowledge representation framework to achieve group-wise integration and enhancement based on knowledge acquisition and open dynamic environment. Covers the awareness, collaboration and evolution of millions of people across the country.
Hybrid enhances smart new architecture and new technologies. It focuses on breakthroughs in the integration of human-computer collaboration awareness and implementation models, intelligent sensor advancement of new sensor components, general-purpose hybrid computing architecture, and other core technologies, and builds self-adapting environment-friendly hybrid enhanced intelligence systems, human-machine group hybrid enhanced intelligence systems and support surroundings.
Intelligent technology for autonomous unmanned systems. Focused on breakthroughs in autonomous unmanned system computing architecture, perception and understanding of complex dynamic scenes, real-time precise positioning, adaptive intelligent navigation for complex environments, and other common technologies, autonomous control of drones, and automated technologies such as autopiloting for automobiles, ships, and rail transit. Core technologies such as service robots and special robots support the application of unmanned systems and industrial development.
Virtual Reality Intelligent Modeling Technology. Focus on breaking through the virtual object's intelligent behavior modeling technology, improve the sociality, diversity and interaction fidelity of the smart object behavior in virtual reality, and realize the organic combination and efficient interaction between virtual reality, augmented reality technology and artificial intelligence.
Intelligent Computing Chips and Systems. Focus on energy-efficient, reconfigurable brain-like computational chips and brain-like visual sensor technologies with computational imaging capabilities. Develop high-performance brain neural network architectures and hardware systems with autonomous learning capabilities to achieve multimedia-aware information understanding and intelligent growth. The brain-like intelligent system of common sense reasoning ability.
Natural language processing technology. The key technologies that break through the grammar logic, character concept representation, and deep semantic analysis of natural language are to promote the effective communication and free interaction between humans and machines, and to realize natural language intelligent understanding and automatic generation in multiple styles and languages.
Box 2 Key generic technologies
1. Knowledge computing engine and knowledge service technology. Research knowledge computing and visual interaction engine, research knowledge service technology such as innovative design, digital creativity and business intelligence based on visual media, and conduct knowledge discovery of large-scale biological data.
2. Cross-media analysis reasoning technology. Research cross-media unified characterization, associative understanding and knowledge mining, knowledge map construction and learning, knowledge evolution and reasoning, intelligent description and generation, and develop cross-media analysis inference engine and verification system.
3. Community smart key technologies. Carry out research on key technologies such as active sensing and discovery of community intelligence, knowledge acquisition and generation, collaboration and sharing, evaluation and evolution, human-machine integration and enhancement, self-sustaining and safe interaction, build a service architecture of group-wise space, and study mobile groups. Intelligent collaborative decision-making and control technology.
4. Hybrid enhanced smart new architecture and new technologies. Researched hybrid enhanced smart core technology, cognitive computing framework, new hybrid computing architecture, human-computer co-drive, online intelligent learning technology, parallel enhanced management and control of the intelligent framework.
5. Intelligent technology of autonomous unmanned systems. Research on autonomous control of drones and intelligent technologies such as automotive, marine, and rail transit autopilot, service robots, space robots, marine robots, polar robotics, unmanned workshops/smart factory smart technologies, high-end intelligent control technologies, and autonomous unmanned operation system. Research on robot vision and robot arm autonomous control technologies based on computer vision, such as positioning, navigation, and recognition, in complex environments.
6. Virtual Reality Intelligent Modeling Technology. This paper studies the mathematical expression and modeling methods of the virtual object's intelligent behavior, the natural, continuous and in-depth interaction between the virtual object and the virtual environment and the user, and the technology and method system of intelligent object modeling.
7. Intelligent computing chips and systems. Developed neural network processors and energy-efficient, reconfigurable brain computing chips, new sensing chips and systems, intelligent computing architectures and systems, and artificial intelligence operating systems. Research a hybrid computing architecture suitable for artificial intelligence.
8. Natural language processing technology. Research on short text calculation and analysis techniques, cross-linguistic text mining techniques and semantic understanding techniques for machine-based cognitive intelligence, and human-machine dialogue systems for multimedia information understanding.
3. Overall layout of artificial intelligence innovation platform.
Build an artificial intelligence innovation platform and strengthen the basic support for artificial intelligence research and development. The artificial intelligence platform for open source hardware and software focuses on building a unified computing framework that supports artificial intelligence paradigms such as knowledge inference, probabilistic statistics, and deep learning, and forms an ecological chain that promotes collaboration between artificial intelligence software, hardware, and intelligent clouds. The group intelligent service platform focuses on the construction of knowledge-based resource management and open sharing tools based on the large-scale collaboration of the Internet, and forms a mass-innovation platform and service environment for the innovative link of production, education, and research. The hybrid enhanced smart support platform focuses on the construction of heterogeneous real-time computing engines and new computing clusters that support large-scale training, providing a service-based, system-based platform and solution for complex intelligent computing. Autonomous unmanned system support platform focuses on the construction of support systems for artificial intelligence common core technologies such as environmental awareness, autonomous collaborative control, and intelligent decision-making under the complex environment of autonomous unmanned systems to form an open, modular, and reconfigurable autonomous unmanned system Development and testing environment. The AI basic data and security detection platform focuses on the construction of public data resources for artificial intelligence, standard test data sets, cloud service platforms, etc., to form methods, techniques, specifications, and tool sets for artificial intelligence algorithms and platform security testing and evaluation. Promote the open source and openness of all kinds of common software and technology platforms. Various types of platforms shall promote the sharing of common services between the military and the people in accordance with the requirements for the deep integration of the military and the people and related regulations.
Column 3 Basic Support Platform
1. Artificial intelligence open source software and hardware infrastructure platform. Establishing an artificial intelligence open source software basic platform for big data artificial intelligence, an artificial intelligence cloud service platform coordinated by terminals and cloud, a new multiple intelligent sensor device and integration platform, a new product design platform based on artificial intelligence hardware, and a big data intelligent service platform in future networks Wait.
2. Community smart service platform. Established Zhizhong Zhongchuang's computational support platform, science and technology crowdsourcing service system, group intelligence software development and verification automation system, group intelligence software learning and innovation system, open environment group intelligence decision system, group intelligence sharing economic service system.
3. Hybrid enhanced smart support platform. Establish an artificial intelligence supercomputing center, a large-scale super-intelligent computing support environment, an online intelligent education platform, an "in-circuit" driving brain, an intelligent platform for industrial development complexity analysis and risk assessment, a smart support platform for supporting the safe operation of nuclear power, and people Machine co-drive technology research and development and testing platform.
4. Autonomous unmanned system support platform. Establish a common core technical support platform for autonomous unmanned systems, autonomous control of drones and autopilot support platforms for automobiles, ships and rail transit, service robots, space robots, marine robots, polar robot support platforms, and intelligent factory and intelligent control equipment technology support Platforms, etc.
5. Artificial intelligence basic data and security detection platform. Build public data resource library, standard test data set, and cloud service platform for artificial intelligence, establish artificial intelligence algorithm and platform security test model and evaluation model, and develop artificial intelligence algorithm and platform security measure tool set.
4. Accelerate the training and gathering of high-end talents for artificial intelligence
Taking the construction of high-end talents as the top priority of artificial intelligence development, insisting on the combination of training and introduction, improving the artificial intelligence education system, strengthening the talent reserve and echelon construction, and especially accelerating the introduction of top talents and young talents from the world to form artificial intelligence in China. Talent Heights.
Cultivate high-level artificial intelligence innovation talents and teams. Support and cultivate artificial intelligence leaders with development potential, and strengthen the training of professional and technical personnel in basic research, applied research, and operation and maintenance of artificial intelligence. We should pay attention to the cultivation of compound talents, focus on cultivating vertical compound talents that use artificial intelligence theories, methods, technologies, products, and applications, as well as the horizontal compound talents of "artificial intelligence + "economy, society, management, standards, and laws. Through major R&D tasks and the construction of a base platform, high-end talents of artificial intelligence are brought together to form a group of high-level innovation teams in key areas of artificial intelligence. Encourage and guide domestic innovative talents and teams to strengthen cooperation with the world's top artificial intelligence research institutions.
Increase the introduction of high-end artificial intelligence talents. Open up special channels and implement special policies to achieve precise introduction of high-end talents in artificial intelligence. We will focus on introducing top international scientists and high-level innovation teams such as neurocognition, machine learning, automatic driving, and intelligent robots. Encourage the flexible introduction of artificial intelligence talents through project cooperation and technical consultation. We will make full use of the existing talent plan such as the "Thousand Talents Plan" and strengthen the introduction of outstanding talents in the area of artificial intelligence, especially outstanding young talents. We will improve policies related to the costing of human capital in enterprises and encourage companies and research institutes to introduce artificial intelligence talents.
Build artificial intelligence disciplines. We will improve the layout of disciplines in the field of artificial intelligence, set up artificial intelligence, promote first-level discipline construction in the field of artificial intelligence, and establish artificial intelligence colleges as soon as possible in pilot colleges and universities to increase the number of doctoral and master's degree enrolled in artificial intelligence-related disciplines. Encourage colleges and universities to broaden the content of artificial intelligence professional education on the basis of the original, form a new model of "artificial intelligence +X" composite specialty, and pay attention to artificial intelligence and mathematics, computer science, physics, biology, psychology, sociology, law and other disciplines Cross-integration of professional education. Strengthen the cooperation between industry, university and research institutes, and encourage universities, research institutes, and enterprises to cooperate in the development of artificial intelligence disciplines.
(b) Cultivate high-end, high-efficiency and smart economy.
Accelerate the development of artificial intelligence industry with significant leading ties, promote the deep integration of artificial intelligence with various industrial fields, and form a smart economy with data-driven, human-computer collaboration, cross-border integration, and sharing. Data and knowledge have become the first factor of economic growth. Human-computer collaboration has become the mainstream production and service method. Cross-border integration has become an important economic model. Creating and sharing has become a basic feature of economic ecology. Personalized demand and customization have become a new trend in consumption. Promote, lead the industry to the high end of the value chain, and effectively support the development of the real economy, and comprehensively improve the quality and efficiency of economic development.
1. Vigorously develop artificial intelligence emerging industries.
Accelerate the transformation and application of key technologies for artificial intelligence, promote technology integration and business model innovation, promote innovation in key areas of intelligent products, actively nurture new forms of artificial intelligence, lay out high-end industrial chains, and create artificial intelligence industry clusters with international competitiveness.
Intelligent software and hardware. Development of key software such as operating systems, databases, middleware, and development tools for artificial intelligence, breakthrough in core hardware such as graphics processors, research of intelligent systems for image recognition, speech recognition, machine translation, intelligent interaction, knowledge processing, and control decisions The plan will nurture and expand the basic hardware and software industries for artificial intelligence applications.
Smart robot. Overcoming the core components of intelligent robots and special sensors, improving the hardware interface standards, software interface protocol standards, and safety standards for intelligent robots. Develop intelligent industrial robots and intelligent service robots to achieve large-scale applications and enter the international market. Develop and promote special robots such as space robots, marine robots, and polar robots. Establish an intelligent robot standard system and safety rules.
Smart delivery vehicle. Develop autonomous driving cars and rail transit systems, strengthen the integration of car-mounted perception, autonomous driving, vehicle-to-everything (V2X), and Internet of Things (IoT) technologies, develop intelligent traffic perception systems, form our own autonomous driving platform technology system and product assembly capabilities, and explore autonomous driving car sharing models. Develop consumer and commercial drones and unmanned ships, establish specialized service systems for testing, certification, and competition, and improve air and water management measures.
Virtual Reality and Augmented Reality. Breakthrough high-performance software modeling, content shooting and generation, augmented reality and human-computer interaction, integrated environments and tools, etc., key technologies, develop products such as virtual display devices, optical devices, high-performance true three-dimensional displays, and development engines, establish virtual reality and augmented reality technology, product, service standards and evaluation system, and promote key industry integration applications.
Intelligent terminal. Accelerate the research and development of intelligent terminal core technologies and products, develop next-generation mobile intelligent terminal products and devices such as smartphones and in-vehicle intelligent terminals, encourage the development of wearable terminal products such as smart watches, smart headphones, and smart glasses, and expand product forms and application services.
IoT foundational devices. Develop high-sensitivity, high-reliability intelligent sensor devices and chips that support the next generation of IoT, overcome core IoT technologies such as radio frequency identification and near-field machine communication, and key devices such as low-power processors.
2. Accelerate industrial intelligent upgrading.
Promote the deep integration of artificial intelligence with various industries, and carry out AI application pilot demonstrations in key industries and sectors such as manufacturing, agriculture, logistics, finance, commerce, and home furnishings to promote the scaled application of AI and comprehensively improve the intelligent level of industrial development.
Intelligent manufacturing. Around the major needs of a manufacturing powerhouse, promote the system integration application of key technologies and equipment for intelligent manufacturing, core support software, and industrial Internet, develop intelligent products and intelligent interconnected products, intelligent manufacturing enablers and systems, and intelligent manufacturing cloud service platforms, promote new manufacturing models such as process intelligent manufacturing, discrete intelligent manufacturing, networked collaborative manufacturing, remote diagnosis and maintenance services, establish an intelligent manufacturing standard system, and promote the entire lifecycle of manufacturing activities to be intelligent.
Intelligent agriculture. Develop agricultural intelligent sensing and control systems, intelligent agricultural machinery, and autonomous field operation systems for agricultural machinery. Establish a complete intelligent agricultural information remote sensing monitoring network of sky, ground, and space. Establish typical agricultural big data intelligent decision-making analysis systems and carry out integrated application demonstrations of intelligent farms, intelligent plant factories, intelligent pastures, intelligent fish farms, intelligent orchards, intelligent processing workshops for agricultural products, and green intelligent supply chains for agricultural products.
Intelligent logistics. Strengthen the R&D and promotion of intelligent logistics equipment such as intelligent loading and unloading, sorting and packaging, and processing and distribution, and build a deeply perceptive intelligent warehouse system to improve the operational management level and efficiency of warehousing. Improve intelligent logistics public information platforms and command systems, quality certification and traceability systems, and intelligent cargo dispatching systems.
Intelligent finance. Build a financial big data system to enhance the ability to process and understand financial multimedia data. Innovate intelligent financial products and services, and develop new financial formats. Encourage the application of intelligent customer service and intelligent monitoring technologies and equipment in the financial sector. Build a financial risk intelligent early warning and prevention system.
Intelligent commerce. Encourage the application of new technologies such as cross-media analysis and reasoning and knowledge computing engines in the commerce sector, and promote the application of new business services and decision-making systems based on artificial intelligence. Build a cross-media big data platform covering geographic location, network media, and urban basic data to support enterprises in conducting intelligent commerce. Encourage customized business intelligence decision services for personal needs and enterprise management.
Intelligent home. Strengthen the integration application of artificial intelligence technology with home building systems to enhance the intelligent level of building equipment and home products. Develop family interconnection protocols and interface standards adaptable to different application scenarios, and improve the perception and connectivity capabilities of household appliances and durable goods. Support intelligent home enterprises in innovating service models and providing shared solutions.
3. Vigorously develop intelligent enterprises.
Massively promote enterprise intelligent upgrades. Support and guide enterprises to apply artificial intelligence new technologies in core business links such as design, production, management, logistics, and marketing, build new enterprise organizational structures and operational models, form a business model integrating manufacturing and service, and financial intelligence, develop personalized customization, and expand
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