The State Council issued a new generation of artificial intelligence development plan

Issued by the State Council

New generation artificial intelligence development planning notice

Guofa [2017] 35

The people's governments of provinces, autonomous regions, and municipalities directly under the Central Government, the ministries and commissions of the State Council, and the agencies directly under the State Council:

The "New Generation Artificial Intelligence Development Plan" is now issued to you. Please implement it carefully.

State Council

July 8, 2017

(This article is released publicly)

New generation artificial intelligence development plan

The rapid development of artificial intelligence will profoundly change human social life and change the world. In order to seize the major strategic opportunities for the development of artificial intelligence, build the first-mover advantage in the development of artificial intelligence in China, speed up the construction of an innovative country and the world's scientific and technological power, and formulate this plan in accordance with the deployment requirements of the Party Central Committee and the State Council.

First, the strategic situation

The development of artificial intelligence has entered a new phase. After more than 60 years of evolution, especially in the new theoretical and technological innovations such as mobile Internet, big data, supercomputing, sensor networks, and brain sciences, as well as the strong demand for economic and social development, artificial intelligence has accelerated its development and has demonstrated deep learning. Cross-border integration, man-machine collaboration, group intelligence openness, self-control and other new features. Big data-driven knowledge learning, cross-media collaborative processing, human-computer collaborative enhancement intelligence, group integration intelligence, and autonomous intelligent systems have become the focus of artificial intelligence development. Brain-brain intelligence inspired by brain science research results is poised to gain momentum and chip hardwareization. The trend of platformization is more obvious, and the development of artificial intelligence has entered a new phase. At present, the development of the new generation of artificial intelligence-related disciplines, theoretical modeling, technological innovation, hardware and software upgrades, etc., are leading to a breakthrough in the chain, and promoting the acceleration of digital, network, and intelligence in all areas of the economy and society.

Artificial intelligence has become a new focus of international competition. Artificial intelligence is a strategic technology that leads the future. The world's major developed countries regard the development of artificial intelligence as a major strategy for enhancing national competitiveness and safeguarding national security, stepping up the introduction of plans and policies, and strengthening deployment around core technologies, top talents, and standards and regulations. Try to grasp the dominant power in the new round of international technological competition. At present, the situation of China’s national security and international competition is more complex. We must look at the whole world, place the development of artificial intelligence at the strategic level of the national system, actively plan, grasp the strategic initiative of international competition in the new stage of development of artificial intelligence, and create new competitive advantages. Open up new space for development and effectively safeguard national security.

Artificial intelligence has become a new engine for economic development. As the core driving force of the new round of industrial reforms, artificial intelligence will further release the tremendous energy accumulated from previous technological revolutions and industrial changes, and create new powerful engines to reconstruct economic activities such as production, distribution, exchange, and consumption. The new demands for intelligence from macroscopic to microcosmic fields have spawned new technologies, new products, new industries, new forms of business, and new models, leading to major changes in the economic structure, profound changes in human life styles and modes of thinking, and achieving an overall jump in social productivity. . China's economic development has entered a new normal, and deepening the supply-side structural reform task is very arduous. We must accelerate the deep application of artificial intelligence, cultivate and expand the artificial intelligence industry, and inject new energy into China's economic development.

Artificial intelligence brings new opportunities for social construction. China is now in the final phase of building a well-off society in an all-round way. Challenges such as population aging and resource and environmental constraints are still severe. Artificial intelligence is widely used in education, medical care, pensions, environmental protection, urban operations, and judicial services, and will greatly increase public awareness. The level of service precision, and the overall improvement of people's quality of life. Artificial intelligence technology can accurately perceive, predict, and warn the major trends of infrastructure and social security operations. The timely recognition of group cognition and psychological changes and active decision-making responses will significantly improve the ability and level of social governance, and have an ineffectiveness in effectively maintaining social stability. The role of substitution.

Uncertainty in the development of artificial intelligence brings new challenges. Artificial intelligence is a disruptive technology that has a wide range of impacts. It may bring problems such as changing the employment structure, impacting laws and social ethics, infringing on personal privacy, and challenging the norms of international relations. It will have a profound impact on government management, economic security and social stability, and even global governance. influences. While vigorously developing artificial intelligence, we must attach great importance to the possible security risks and challenges, strengthen forward-looking prevention and restraint guidance, minimize risks, and ensure the safe, reliable, and controllable development of artificial intelligence.

China has a good foundation for the development of artificial intelligence. The government has deployed key special projects such as smart manufacturing and other national key R&D plans, issued and implemented the “Internet+” artificial intelligence three-year action implementation plan, and put forward 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 artificial intelligence. The volume of international scientific and technological papers and the amount of invention patents granted have ranked second in the world, and key breakthrough technologies have been achieved in some areas. Voice recognition and visual recognition technologies are the world's leading technologies. The capabilities of self-adaptive learning, intuitive perception, comprehensive reasoning, hybrid intelligence, and swarm intelligence have the potential to leapfrog development. Chinese information processing, intelligent monitoring, biometrics, industrial robots, service robots, etc. Unmanned driving has gradually entered practical applications. Artificial intelligence has become increasingly active in innovation and entrepreneurship. A number of dragon skull enterprises have accelerated their growth and have received extensive attention and recognition in the world. Accelerated accumulation of technological capabilities combined with massive data resources, huge application requirements, and an open market environment have formed a unique advantage in the development of artificial intelligence in China.

At the same time, we must soberly realize that there is still a gap between the overall level of development of artificial intelligence in China and developed countries, lack of significant original results, and basic theory, core algorithms and key equipment, high-end chips, major products and systems, and basic materials. There is a big gap between 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; artificial intelligence cannot meet the needs of advanced talents; and adapt to the development of artificial intelligence. The infrastructure, policies, regulations and standards system need to be improved.

In the face of new situations and new demands, we must take the initiative to seek change in strain, firmly grasp the major historical opportunities for the development of artificial intelligence, 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 artificial intelligence. Economic and social development and support for national security have led to an overall leap in national competitiveness and leapfrog development.

Second, the overall requirements

(a) The guiding ideology.

We will fully implement the spirit of the 18th Congress of the Party and the 18th Congress of the Third, Fourth, Fifth, and Sixth Plenary Sessions, in-depth study and implementation of the spirit of Xi Jinping’s series of important speeches and the new ideas and strategies for governing the country’s governance. Integrate the overall layout and the “four comprehensive” strategic layouts, conscientiously implement the decision-making and deployment of the Party Central Committee and the State Council, and implement the innovation-driven development strategy in-depth to accelerate the integration of artificial intelligence and the deep integration of economic, social, and national defenses to enhance the new generation of artificial intelligence. Scientific and technological innovation capability is the main direction, develops smart economy, builds smart society, maintains national security, and builds an ecosystem that supports the mutual integration of knowledge, technology and industry groups, and 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, and provides for the acceleration of the construction of an innovative country and the world’s scientific and technological power, the realization of the “two hundred one-year” goal and the Chinese nation’s great rejuvenation of the Chinese dream. Strong support.

(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. Give full play to the strengths of the socialist system in concentrating its 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. We must 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. The goal of building a well-to-do society in an all-round way.

-- 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 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, artificial intelligence core industry scale of more than 150 billion yuan, driving the related industries scale of more than 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 With trillions of yuan, the scale of related industries has driven more than 10 trillion yuan.

——To form a group of global leading artificial intelligence technology innovation and talent cultivation bases, and to 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.发展自动驾驶汽车和轨道交通系统,加强车载感知、自动驾驶、车联网、物联网等技术集成和配套,开发交通智能感知系统,形成我国自主的自动驾驶平台技术体系和产品总成能力,探索自动驾驶汽车共享模式。发展消费类和商用类无人机、无人船,建立试验鉴定、测试、竞技等专业化服务体系,完善空域、水域管理措施。

虚拟现实与增强现实。突破高性能软件建模、内容拍摄生成、增强现实与人机交互、集成环境与工具等关键技术,研制虚拟显示器件、光学器件、高性能真三维显示器、开发引擎等产品,建立虚拟现实与增强现实的技术、产品、服务标准和评价体系,推动重点行业融合应用。

智能终端。加快智能终端核心技术和产品研发,发展新一代智能手机、车载智能终端等移动智能终端产品和设备,鼓励开发智能手表、智能耳机、智能眼镜等可穿戴终端产品,拓展产品形态和应用服务。

物联网基础器件。发展支撑新一代物联网的高灵敏度、高可靠性智能传感器件和芯片,攻克射频识别、近距离机器通信等物联网核心技术和低功耗处理器等关键器件。

2.加快推进产业智能化升级。

推动人工智能与各行业融合创新,在制造、农业、物流、金融、商务、家居等重点行业和领域开展人工智能应用试点示范,推动人工智能规模化应用,全面提升产业发展智能化水平。

智能制造。围绕制造强国重大需求,推进智能制造关键技术装备、核心支撑软件、工业互联网等系统集成应用,研发智能产品及智能互联产品、智能制造使能工具与系统、智能制造云服务平台,推广流程智能制造、离散智能制造、网络化协同制造、远程诊断与运维服务等新型制造模式,建立智能制造标准体系,推进制造全生命周期活动智能化。

智能农业。研制农业智能传感与控制系统、智能化农业装备、农机田间作业自主系统等。建立完善天空地一体化的智能农业信息遥感监测网络。建立典型农业大数据智能决策分析系统,开展智能农场、智能化植物工厂、智能牧场、智能渔场、智能果园、农产品加工智能车间、农产品绿色智能供应链等集成应用示范。

智能物流。加强智能化装卸搬运、分拣包装、加工配送等智能物流装备研发和推广应用,建设深度感知智能仓储系统,提升仓储运营管理水平和效率。完善智能物流公共信息平台和指挥系统、产品质量认证及追溯系统、智能配货调度体系等。

智能金融。建立金融大数据系统,提升金融多媒体数据处理与理解能力。创新智能金融产品和服务,发展金融新业态。鼓励金融行业应用智能客服、智能监控等技术和装备。建立金融风险智能预警与防控系统。

智能商务。鼓励跨媒体分析与推理、知识计算引擎与知识服务等新技术在商务领域应用,推广基于人工智能的新型商务服务与决策系统。建设涵盖地理位置、网络媒体和城市基础数据等跨媒体大数据平台,支撑企业开展智能商务。鼓励围绕个人需求、企业管理提供定制化商务智能决策服务。

智能家居。加强人工智能技术与家居建筑系统的融合应用,提升建筑设备及家居产品的智能化水平。研发适应不同应用场景的家庭互联互通协议、接口标准,提升家电、耐用品等家居产品感知和联通能力。支持智能家居企业创新服务模式,提供互联共享解决方案。

3.大力发展智能企业。

大规模推动企业智能化升级。支持和引导企业在设计、生产、管理、物流和营销等核心业务环节应用人工智能新技术,构建新型企业组织结构和运营方式,形成制造与服务、金融智能化融合的业态模式,发展个性化定制,扩大智能产品供给。鼓励大型互联网企业建设云制造平台和服务平台,面向制造企业在线提供关键工业软件和模型库,开展制造能力外包服务,推动中小企业智能化发展。

推广应用智能工厂。加强智能工厂关键技术和体系方法的应用示范,重点推广生产线重构与动态智能调度、生产装备智能物联与云化数据采集、多维人机物协同与互操作等技术,鼓励和引导企业建设工厂大数据系统、网络化分布式生产设施等,实现生产设备网络化、生产数据可视化、生产过程透明化、生产现场无人化,提升工厂运营管理智能化水平。

加快培育人工智能产业领军企业。在无人机、语音识别、图像识别等优势领域加快打造人工智能全球领军企业和品牌。在智能机器人、智能汽车、可穿戴设备、虚拟现实等新兴领域加快培育一批龙头企业。支持人工智能企业加强专利布局,牵头或参与国际标准制定。推动国内优势企业、行业组织、科研机构、高校等联合组建中国人工智能产业技术创新联盟。支持龙头骨干企业构建开源硬件工厂、开源软件平台,形成集聚各类资源的创新生态,促进人工智能中小微企业发展和各领域应用。支持各类机构和平台面向人工智能企业提供专业化服务。

4.打造人工智能创新高地。

结合各地区基础和优势,按人工智能应用领域分门别类进行相关产业布局。鼓励地方围绕人工智能产业链和创新链,集聚高端要素、高端企业、高端人才,打造人工智能产业集群和创新高地。

开展人工智能创新应用试点示范。在人工智能基础较好、发展潜力较大的地区,组织开展国家人工智能创新试验,探索体制机制、政策法规、人才培育等方面的重大改革,推动人工智能成果转化、重大产品集成创新和示范应用,形成可复制、可推广的经验,引领带动智能经济和智能社会发展。

建设国家人工智能产业园。依托国家自主创新示范区和国家高新技术产业开发区等创新载体,加强科技、人才、金融、政策等要素的优化配置和组合,加快培育建设人工智能产业创新集群。

建设国家人工智能众创基地。依托从事人工智能研究的高校、科研院所集中地区,搭建人工智能领域专业化创新平台等新型创业服务机构,建设一批低成本、便利化、全要素、开放式的人工智能众创空间,完善孵化服务体系,推进人工智能科技成果转移转化,支持人工智能创新创业。

(三)建设安全便捷的智能社会。

围绕提高人民生活水平和质量的目标,加快人工智能深度应用,形成无时不有、无处不在的智能化环境,全社会的智能化水平大幅提升。越来越多的简单性、重复性、危险性任务由人工智能完成,个体创造力得到极大发挥,形成更多高质量和高舒适度的就业岗位;精准化智能服务更加丰富多样,人们能够最大限度享受高质量服务和便捷生活;社会治理智能化水平大幅提升,社会运行更加安全高效。

1.发展便捷高效的智能服务。

围绕教育、医疗、养老等迫切民生需求,加快人工智能创新应用,为公众提供个性化、多元化、高品质服务。

智能教育。利用智能技术加快推动人才培养模式、教学方法改革,构建包含智能学习、交互式学习的新型教育体系。开展智能校园建设,推动人工智能在教学、管理、资源建设等全流程应用。开发立体综合教学场、基于大数据智能的在线学习教育平台。开发智能教育助理,建立智能、快速、全面的教育分析系统。建立以学习者为中心的教育环境,提供精准推送的教育服务,实现日常教育和终身教育定制化。

智能医疗。推广应用人工智能治疗新模式新手段,建立快速精准的智能医疗体系。探索智慧医院建设,开发人机协同的手术机器人、智能诊疗助手,研发柔性可穿戴、生物兼容的生理监测系统,研发人机协同临床智能诊疗方案,实现智能影像识别、病理分型和智能多学科会诊。基于人工智能开展大规模基因组识别、蛋白组学、代谢组学等研究和新药研发,推进医药监管智能化。加强流行病智能监测和防控。

智能健康和养老。加强群体智能健康管理,突破健康大数据分析、物联网等关键技术,研发健康管理可穿戴设备和家庭智能健康检测监测设备,推动健康管理实现从点状监测向连续监测、从短流程管理向长流程管理转变。建设智能养老社区和机构,构建安全便捷的智能化养老基础设施体系。加强老年人产品智能化和智能产品适老化,开发视听辅助设备、物理辅助设备等智能家居养老设备,拓展老年人活动空间。开发面向老年人的移动社交和服务平台、情感陪护助手,提升老年人生活质量。

2.推进社会治理智能化。

围绕行政管理、司法管理、城市管理、环境保护等社会治理的热点难点问题,促进人工智能技术应用,推动社会治理现代化。

智能政务。开发适于政府服务与决策的人工智能平台,研制面向开放环境的决策引擎,在复杂社会问题研判、政策评估、风险预警、应急处置等重大战略决策方面推广应用。加强政务信息资源整合和公共需求精准预测,畅通政府与公众的交互渠道。

智慧法庭。建设集审判、人员、数据应用、司法公开和动态监控于一体的智慧法庭数据平台,促进人工智能在证据收集、案例分析、法律文件阅读与分析中的应用,实现法院审判体系和审判能力智能化。

智慧城市。构建城市智能化基础设施,发展智能建筑,推动地下管廊等市政基础设施智能化改造升级;建设城市大数据平台,构建多元异构数据融合的城市运行管理体系,实现对城市基础设施和城市绿地、湿地等重要生态要素的全面感知以及对城市复杂系统运行的深度认知;研发构建社区公共服务信息系统,促进社区服务系统与居民智能家庭系统协同;推进城市规划、建设、管理、运营全生命周期智能化。

智能交通。研究建立营运车辆自动驾驶与车路协同的技术体系。研发复杂场景下的多维交通信息综合大数据应用平台,实现智能化交通疏导和综合运行协调指挥,建成覆盖地面、轨道、低空和海上的智能交通监控、管理和服务系统。

智能环保。建立涵盖大气、水、土壤等环境领域的智能监控大数据平台体系,建成陆海统筹、天地一体、上下协同、信息共享的智能环境监测网络和服务平台。研发资源能源消耗、环境污染物排放智能预测模型方法和预警方案。加强京津冀、长江经济带等国家重大战略区域环境保护和突发环境事件智能防控体系建设。

3.利用人工智能提升公共安全保障能力。

促进人工智能在公共安全领域的深度应用,推动构建公共安全智能化监测预警与控制体系。围绕社会综合治理、新型犯罪侦查、反恐等迫切需求,研发集成多种探测传感技术、视频图像信息分析识别技术、生物特征识别技术的智能安防与警用产品,建立智能化监测平台。加强对重点公共区域安防设备的智能化改造升级,支持有条件的社区或城市开展基于人工智能的公共安防区域示范。强化人工智能对食品安全的保障,围绕食品分类、预警等级、食品安全隐患及评估等,建立智能化食品安全预警系统。加强人工智能对自然灾害的有效监测,围绕地震灾害、地质灾害、气象灾害、水旱灾害和海洋灾害等重大自然灾害,构建智能化监测预警与综合应对平台。

4.促进社会交往共享互信。

充分发挥人工智能技术在增强社会互动、促进可信交流中的作用。加强下一代社交网络研发,加快增强现实、虚拟现实等技术推广应用,促进虚拟环境和实体环境协同融合,满足个人感知、分析、判断与决策等实时信息需求,实现在工作、学习、生活、娱乐等不同场景下的流畅切换。针对改善人际沟通障碍的需求,开发具有情感交互功能、能准确理解人的需求的智能助理产品,实现情感交流和需求满足的良性循环。促进区块链技术与人工智能的融合,建立新型社会信用体系,最大限度降低人际交往成本和风险。

(四)加强人工智能领域军民融合。

深入贯彻落实军民融合发展战略,推动形成全要素、多领域、高效益的人工智能军民融合格局。以军民共享共用为导向部署新一代人工智能基础理论和关键共性技术研发,建立科研院所、高校、企业和军工单位的常态化沟通协调机制。促进人工智能技术军民双向转化,强化新一代人工智能技术对指挥决策、军事推演、国防装备等的有力支撑,引导国防领域人工智能科技成果向民用领域转化应用。鼓励优势民口科研力量参与国防领域人工智能重大科技创新任务,推动各类人工智能技术快速嵌入国防创新领域。加强军民人工智能技术通用标准体系建设,推进科技创新平台基地的统筹布局和开放共享。

(五)构建泛在安全高效的智能化基础设施体系。

大力推动智能化信息基础设施建设,提升传统基础设施的智能化水平,形成适应智能经济、智能社会和国防建设需要的基础设施体系。加快推动以信息传输为核心的数字化、网络化信息基础设施,向集融合感知、传输、存储、计算、处理于一体的智能化信息基础设施转变。优化升级网络基础设施,研发布局第五代移动通信(5G)系统,完善物联网基础设施,加快天地一体化信息网络建设,提高低时延、高通量的传输能力。统筹利用大数据基础设施,强化数据安全与隐私保护,为人工智能研发和广泛应用提供海量数据支撑。建设高效能计算基础设施,提升超级计算中心对人工智能应用的服务支撑能力。建设分布式高效能源互联网,形成支撑多能源协调互补、及时有效接入的新型能源网络,推广智能储能设施、智能用电设施,实现能源供需信息的实时匹配和智能化响应。

专栏4 智能化基础设施

1.网络基础设施。加快布局实时协同人工智能的5G增强技术研发及应用,建设面向空间协同人工智能的高精度导航定位网络,加强智能感知物联网核心技术攻关和关键设施建设,发展支撑智能化的工业互联网、面向无人驾驶的车联网等,研究智能化网络安全架构。加快建设天地一体化信息网络,推进天基信息网、未来互联网、移动通信网的全面融合。

2.大数据基础设施。依托国家数据共享交换平台、数据开放平台等公共基础设施,建设政府治理、公共服务、产业发展、技术研发等领域大数据基础信息数据库,支撑开展国家治理大数据应用。整合社会各类数据平台和数据中心资源,形成覆盖全国、布局合理、链接畅通的一体化服务能力。

3.高效能计算基础设施。继续加强超级计算基础设施、分布式计算基础设施和云计算中心建设,构建可持续发展的高性能计算应用生态环境。推进下一代超级计算机研发应用。

(六)前瞻布局新一代人工智能重大科技项目。

针对我国人工智能发展的迫切需求和薄弱环节,设立新一代人工智能重大科技项目。加强整体统筹,明确任务边界和研发重点,形成以新一代人工智能重大科技项目为核心、现有研发布局为支撑的“1+N”人工智能项目群。

“1”是指新一代人工智能重大科技项目,聚焦基础理论和关键共性技术的前瞻布局,包括研究大数据智能、跨媒体感知计算、混合增强智能、群体智能、自主协同控制与决策等理论,研究知识计算引擎与知识服务技术、跨媒体分析推理技术、群体智能关键技术、混合增

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