Artificial intelligence is an important driving force for a new round of technological revolution and industrial transformation. The accelerated development of artificial intelligence is having a major and far-reaching impact on economic development, social progress, and the international political and economic landscape. Accelerating the development of a new generation of artificial intelligence is a strategic starting point for China to win the initiative of global science and technology competition, and is an important way to promote the development of science and technology, industrial optimization and upgrading, and overall productivity jump.
In the ninth collective study of the Political Bureau of the CPC Central Committee, the General Secretary stressed: "We must deeply grasp the characteristics of the development of a new generation of artificial intelligence, strengthen the integration of artificial intelligence and industrial development, and provide new kinetic energy for high-quality development." Currently, China's economy has From the high-speed growth stage to the high-quality development stage, we are in the process of transforming the development mode, optimizing the economic structure, and transforming the growth momentum. It is urgent to increase the salary through major innovations such as a new generation of artificial intelligence.
The potential for integration of artificial intelligence and industrial development is huge
In recent years, artificial intelligence technology has developed rapidly and has become a hot new global technology darling. According to the "China Artificial Intelligence Development Report 2018" data, as of June 2018, the number of artificial intelligence enterprises in the world reached 4,925, the United States ranked first with 2,028, and China ranked second with 1011. The report also pointed out that in terms of patent applications, China has become a country with a large number of global artificial intelligence patents, with a small number of US and Japan. From an international perspective, China has entered the international ranks in the development and application of artificial intelligence technology. In addition, according to the forecast report released by the world-renowned research institution Gartner, the commercial value of global artificial intelligence drive will reach 3.9 trillion US dollars by 2022. It can be seen that the integration of artificial intelligence and industrial development has great potential, and China's "artificial intelligence + industry" is also promising.
From a realistic perspective, the current integration of artificial intelligence and industrial development* is good in transportation and medical care. Applications in the transportation sector are focused on driverless and smart transportation. For example, Baidu successfully completed the road test of driverless cars in 2015, and can determine the direction and speed of the car through real-time road condition information and positioning analysis. Map software commonly used in people's lives has functions such as positioning, routing, voice navigation, real-time road conditions, etc., enabling real-time, accurate and efficient integrated management. In the medical industry, the value of artificial intelligence technology is well reflected in both the computing system and the application of drug discovery, assisted diagnosis and intelligent robots. In recent years, Germany has been committed to the use of information technology to create innovative industrial systems. Among them, Siemens uses artificial intelligence to optimize industrial facilities, and applies artificial intelligence to various practices in the fields of power distribution, motor and track technology, not only to achieve intelligence. Production also reduces manufacturing costs and energy consumption, improves equipment efficiency, and greatly enhances the competitiveness of German industry internationally.
The idea and path of integrating artificial intelligence with industrial development
The characteristics of deep learning, cross-border integration, and human-machine synergy presented by artificial intelligence can cooperate with and promote each other in the basic, technical and application layers of industrial development. This should be the main direction for the integration of artificial intelligence and industrial development in the future. .
At the basic and technical levels, infrastructure construction, basic theoretical research and technological innovation should be strengthened. The essence of artificial intelligence deep learning is to simulate the human brain mechanism, analyze and interpret the data step by step, and learn the inherent laws of the sample data. The ultimate goal is to let the machine have certain learning and analysis capabilities. Data is the infrastructure of the era of artificial intelligence. We must profoundly understand the importance of infrastructure, and use theoretical and technological innovations to fully exploit the valuable information in massive data to achieve data value*. On the one hand, it is necessary to strengthen policy guidance and increase financial support. In terms of infrastructure investment, we will expand spending on infrastructure construction in the artificial intelligence industry, and encourage enterprises to concentrate on making breakthroughs in key R&D key areas such as artificial intelligence operating systems and unsupervised learning algorithms. On the other hand, enterprises should strengthen the co-construction and sharing of basic technologies, establish and improve the cooperation mechanism of science, technology, research and research, and build a joint venture of production, education, production, production and enterprise innovation to achieve mutual benefit and win-win results for the artificial intelligence industry ecosystem. Establish a solid foundation.
At the application level, research and develop targeted industry, fiscal revenue and talent policies. At present, the development level of artificial intelligence industry varies from region to region, and it is necessary to establish and improve targeted industrial policies based on the development characteristics of each region. For example, in tourism cities, focus on the development of smart tourism; in areas dominated by manufacturing, focus on improving the level of intelligence in manufacturing. At the same time, it is necessary to formulate effective fiscal and tax incentives and talent policies. In the initial stage of new product development and market introduction, the company will be given certain financial subsidies and tax reductions. In the process of integration with traditional industries, we must pay attention to human-machine synergy, not only to strengthen technological innovation, but also to cultivate and introduce talents. The development of artificial intelligence requires a large number of technical and compound talents, and the construction of high-end talents is the top priority of artificial intelligence development. The first is to formulate and improve the talent training policy. Taking the construction of high-end talent team as the top priority of artificial intelligence development, insisting on the combination of training and introduction, strengthening cooperation between industry, universities and research institutes, encouraging universities, research institutes and enterprises to cooperate to strengthen the construction of artificial intelligence disciplines, and vigorously cultivate artificial intelligence and industry. Integrate the high-end talents and high-level innovation teams needed. The second is to further optimize the talent development environment, increase the introduction of high-end talents and teams of artificial intelligence, explore the international docking and service mechanism of high-level talents, and strive to create a highland of artificial intelligence talents.
Fully integrate the industry strength and build an industry chain platform with leading enterprises as the core. Efforts should be made to cultivate a group of artificial intelligence enterprises with industry*s and actions, and guide them to strengthen cooperation with upstream and downstream SMEs, give play to their respective advantages, accelerate synergy and innovation, and establish basic research and development, platform technology development and application as soon as possible. The artificial intelligence industry ecological chain, and * end up supporting the application of artificial intelligence in various industries. For example, Baidu has listed artificial intelligence as its core strategy. It has announced the opening of Baidu Brain Open Platform and Baidu Deep Learning Platform, and has led the establishment of “China Deep Learning Technology and Application National Engineering Laboratoryâ€, focusing on Baidu as the core and joint cooperation. Partners launched together seven deep learning platforms, biometrics platform and other seven AI application platforms. Alibaba's artificial intelligence ET has global * artificial intelligence technology, with speech recognition and synthesis, image / video recognition, traffic prediction, sentiment analysis and many other skills, widely used in industrial manufacturing, urban transportation, medical health and other dozens Vertical field. Leading enterprises play a role in driving *, which will effectively promote the integration of artificial intelligence and industrial development.
In the ninth collective study of the Political Bureau of the CPC Central Committee, the General Secretary stressed: "We must deeply grasp the characteristics of the development of a new generation of artificial intelligence, strengthen the integration of artificial intelligence and industrial development, and provide new kinetic energy for high-quality development." Currently, China's economy has From the high-speed growth stage to the high-quality development stage, we are in the process of transforming the development mode, optimizing the economic structure, and transforming the growth momentum. It is urgent to increase the salary through major innovations such as a new generation of artificial intelligence.
The potential for integration of artificial intelligence and industrial development is huge
In recent years, artificial intelligence technology has developed rapidly and has become a hot new global technology darling. According to the "China Artificial Intelligence Development Report 2018" data, as of June 2018, the number of artificial intelligence enterprises in the world reached 4,925, the United States ranked first with 2,028, and China ranked second with 1011. The report also pointed out that in terms of patent applications, China has become a country with a large number of global artificial intelligence patents, with a small number of US and Japan. From an international perspective, China has entered the international ranks in the development and application of artificial intelligence technology. In addition, according to the forecast report released by the world-renowned research institution Gartner, the commercial value of global artificial intelligence drive will reach 3.9 trillion US dollars by 2022. It can be seen that the integration of artificial intelligence and industrial development has great potential, and China's "artificial intelligence + industry" is also promising.
From a realistic perspective, the current integration of artificial intelligence and industrial development* is good in transportation and medical care. Applications in the transportation sector are focused on driverless and smart transportation. For example, Baidu successfully completed the road test of driverless cars in 2015, and can determine the direction and speed of the car through real-time road condition information and positioning analysis. Map software commonly used in people's lives has functions such as positioning, routing, voice navigation, real-time road conditions, etc., enabling real-time, accurate and efficient integrated management. In the medical industry, the value of artificial intelligence technology is well reflected in both the computing system and the application of drug discovery, assisted diagnosis and intelligent robots. In recent years, Germany has been committed to the use of information technology to create innovative industrial systems. Among them, Siemens uses artificial intelligence to optimize industrial facilities, and applies artificial intelligence to various practices in the fields of power distribution, motor and track technology, not only to achieve intelligence. Production also reduces manufacturing costs and energy consumption, improves equipment efficiency, and greatly enhances the competitiveness of German industry internationally.
The idea and path of integrating artificial intelligence with industrial development
The characteristics of deep learning, cross-border integration, and human-machine synergy presented by artificial intelligence can cooperate with and promote each other in the basic, technical and application layers of industrial development. This should be the main direction for the integration of artificial intelligence and industrial development in the future. .
At the basic and technical levels, infrastructure construction, basic theoretical research and technological innovation should be strengthened. The essence of artificial intelligence deep learning is to simulate the human brain mechanism, analyze and interpret the data step by step, and learn the inherent laws of the sample data. The ultimate goal is to let the machine have certain learning and analysis capabilities. Data is the infrastructure of the era of artificial intelligence. We must profoundly understand the importance of infrastructure, and use theoretical and technological innovations to fully exploit the valuable information in massive data to achieve data value*. On the one hand, it is necessary to strengthen policy guidance and increase financial support. In terms of infrastructure investment, we will expand spending on infrastructure construction in the artificial intelligence industry, and encourage enterprises to concentrate on making breakthroughs in key R&D key areas such as artificial intelligence operating systems and unsupervised learning algorithms. On the other hand, enterprises should strengthen the co-construction and sharing of basic technologies, establish and improve the cooperation mechanism of science, technology, research and research, and build a joint venture of production, education, production, production and enterprise innovation to achieve mutual benefit and win-win results for the artificial intelligence industry ecosystem. Establish a solid foundation.
At the application level, research and develop targeted industry, fiscal revenue and talent policies. At present, the development level of artificial intelligence industry varies from region to region, and it is necessary to establish and improve targeted industrial policies based on the development characteristics of each region. For example, in tourism cities, focus on the development of smart tourism; in areas dominated by manufacturing, focus on improving the level of intelligence in manufacturing. At the same time, it is necessary to formulate effective fiscal and tax incentives and talent policies. In the initial stage of new product development and market introduction, the company will be given certain financial subsidies and tax reductions. In the process of integration with traditional industries, we must pay attention to human-machine synergy, not only to strengthen technological innovation, but also to cultivate and introduce talents. The development of artificial intelligence requires a large number of technical and compound talents, and the construction of high-end talents is the top priority of artificial intelligence development. The first is to formulate and improve the talent training policy. Taking the construction of high-end talent team as the top priority of artificial intelligence development, insisting on the combination of training and introduction, strengthening cooperation between industry, universities and research institutes, encouraging universities, research institutes and enterprises to cooperate to strengthen the construction of artificial intelligence disciplines, and vigorously cultivate artificial intelligence and industry. Integrate the high-end talents and high-level innovation teams needed. The second is to further optimize the talent development environment, increase the introduction of high-end talents and teams of artificial intelligence, explore the international docking and service mechanism of high-level talents, and strive to create a highland of artificial intelligence talents.
Fully integrate the industry strength and build an industry chain platform with leading enterprises as the core. Efforts should be made to cultivate a group of artificial intelligence enterprises with industry*s and actions, and guide them to strengthen cooperation with upstream and downstream SMEs, give play to their respective advantages, accelerate synergy and innovation, and establish basic research and development, platform technology development and application as soon as possible. The artificial intelligence industry ecological chain, and * end up supporting the application of artificial intelligence in various industries. For example, Baidu has listed artificial intelligence as its core strategy. It has announced the opening of Baidu Brain Open Platform and Baidu Deep Learning Platform, and has led the establishment of “China Deep Learning Technology and Application National Engineering Laboratoryâ€, focusing on Baidu as the core and joint cooperation. Partners launched together seven deep learning platforms, biometrics platform and other seven AI application platforms. Alibaba's artificial intelligence ET has global * artificial intelligence technology, with speech recognition and synthesis, image / video recognition, traffic prediction, sentiment analysis and many other skills, widely used in industrial manufacturing, urban transportation, medical health and other dozens Vertical field. Leading enterprises play a role in driving *, which will effectively promote the integration of artificial intelligence and industrial development.
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