The latest infrastructure accelerates the applicat

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"New infrastructure" accelerates the application of artificial intelligence.

since the outbreak of the epidemic, the demand for education, telecommuting, medical treatment and so on has been rising, but the collapse of McDonald's applet and other program crashes have also been on the Internet. The divine beast at home looks peaceful in class, but in fact it is in a mess

program crash, to some extent, reflects the lack of computer computing power, servers and other new infrastructure. However, in the epidemic prevention and control, service robots, big data analysis systems and intelligent identification (temperature measurement) products have performed very well

as an important part of the seven sectors of new infrastructure, can artificial intelligence (AI) provide a scientific and technological prescription for the global economic recovery after the epidemic? What will it change? On April 9, the second issue of the frontier science and Technology Forum took artificial intelligence: a new engine for the integration of science, technology and economy as the theme, offering suggestions and suggestions for the development of the integration of science, technology and economy of artificial intelligence after the epidemic

new infrastructure drives artificial intelligence

the opening posture of 2020 is somewhat magical. The rampant COVID-19 has basically stopped the operation of the physical world. At this time, the role of AI has become increasingly prominent

the recently released Research Report on AI assisting in the prevention and control of the COVID-19 points out that AI technologies such as computer vision and intelligent voice are relatively mature and have rich use scenarios, so their representative products also play an important role in combating the epidemic

this sudden epidemic is a great disaster for mankind, and it is also a rare new opportunity for the development of AI industry. In this epidemic, intelligent products have won more trust among user groups, the role of AI in empowering various industries has begun to appear, and the role of AI applications in improving national governance capabilities is becoming more and more obvious. Li Guojie, an academician of the Chinese Academy of engineering, pointed out

with the upsurge of new infrastructure, from policy to capital to technology accumulation, the AI industry has ushered in new opportunities for the development of low-temperature tank operation processes

Cai Zixing, a lifelong member of the Institute of electrical and Electronic Engineers (IEEE), said that the acceleration of the new infrastructure brings great opportunities to promote the development of AI. We should seize the opportunity to comprehensively build, lay a solid foundation, enhance strength, accelerate the development of new AI infrastructure, and lay a solid foundation for economic transformation and upgrading

Cao Cungen, a researcher at the Institute of computing technology, Chinese Academy of Sciences, believes that AI can play a role in social governance, and the state should deploy some large AI public service facilities

ai has great potential in stabilizing investment, promoting consumption, helping upgrade, cultivating new drivers of economic development, and creating a new form of intelligent economy. The combination of AI with 5g, big data and other technologies will drive many industries and lay the foundation for the digital and intelligent transformation in many fields. Cai Zixing said

in Li Guojie's view, AI should also attach great importance to soft infrastructure. To develop the digital economy, we should change the traditional thinking that infrastructure is hardware equipment, vigorously develop various tool libraries, algorithm libraries, and software libraries required by AI applications, create a complete tool chain, and reduce the threshold of AI application development

Li Xiuquan, a researcher at the China Academy of science and technology development strategy, believes that the construction of new AI infrastructure, such as AI computing power, open platforms, and knowledge centers, should not only help the implementation of technology and accelerate technological breakthroughs, but also play an important role in promoting the shared development of different groups. Improve the innovation conditions of small and medium-sized enterprises and entrepreneurs, improve the intelligent infrastructure in underdeveloped areas, and make the intelligent transformation towards inclusive and shared development

weaknesses and opportunities coexist

at present, AI is penetrating into all walks of life, relying on AI basic technology and industry data resources to achieve integration and innovation with the real economy. However, in this process, AI still relies heavily on big data and computing power in the industry

the upgrading of AI capability must rely on the upgrading of AI methodology. From the perspective of methodology, big data has driven AI in the past decade, and then the profits of Chinese paper enterprises have declined in 2018. We need to turn around and use knowledge and data to jointly drive AI methods. Shan Shiguang, a researcher at the Institute of computing technology, Chinese Academy of Sciences, pointed out

although there is little gap in Applied Research between China and Europe and the United States, China still needs to make efforts in in-depth application in various industries. Based on this judgment, Shan Shiguang proposed that the infrastructure in the AI era includes three levels: hardware, software and smart parts

Shan Shiguang stressed that China's investment in basic software platforms needs to be increased. The mainstream underlying framework of deep learning is mainly built by North American countries. These aspects may be stuck like today's chip industry. He suggested that China should seize the initiative as soon as possible for low threshold ai r & D platforms and tools

in addition to the long-term investment in basic algorithms, I think we should strengthen the research of basic smart parts system. In the past, there were computing centers and data centers in hardware. In the future, we need to build AI algorithm centers, knowledge centers, and even national knowledge centers. Shan Shiguang said

at the same time, Cai Zixing also pointed out that AI talents are in great shortage, with a gap of at least 1million. We should cultivate multi-level talents through multiple channels and modes. There should be few and excellent high-level talents, solid and strong middle-level talents, and many and strong bottom-level talents, and none of them should be less

empowering industrial upgrading

the State Council previously issued the notice on the development plan of the new generation of artificial intelligence, which proposed that by 2025, the AI industry will enter the high-end of the global value chain with the operation steps of zigzag experimental machines; By 2030, the competitiveness of AI industry will reach the international leading level

this plan for AI is also reflected in the reform of Internet companies. Huang Junzhou, director of Tencent AI Lab machine learning center, said: AI comes from application and should also go into application. In this process, application will solve problems, and at the same time, it can bring new topics to AI research. Research topics can feed the industry, so as to form a virtuous circle

in AI applications, the public has high expectations, but there is still a certain distance between ideal and reality. Peng Silong, a researcher at the Institute of automation of the Chinese Academy of Sciences, believes that how to make the medium and low-end traditional industries realize intelligent upgrading and transformation at the lowest cost may be a very important direction for the development of AI in the future

Wang Jinqiao, a researcher at the Institute of automation, Chinese Academy of Sciences, said that it is necessary to grasp the boundaries of AI applications, strengthen AI governance, and prevent the abuse of AI technology and related legal issues

the focus of AI application is to solve complex problems in an uncertain and dynamic environment. AI is regarded as a problem-solving technology, which does not care about being compared with humans, let alone integrating with other technologies. Although AI technology is still immature, we should promote the construction of AI standardization system in application, establish corresponding technical standards, application specifications and evaluation indicators, and strive to improve the quality of AI products and services. Li Guojie emphasized

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