The gap between China and the United States in the field of artificial intelligence is largely due to the national academic assessment system and practical application orientation. There is room for improvement in the undergraduate analysis standard but it may take 5 to 15 years to catch up with the entire USA. The opinion of Giancarlo Elia Valore
In the process of developing and applying AI technology, it is necessary to be pragmatic and organized; AI education intensifies the driving force for the development of related technology and industry, and is also the basic guarantee for the development of high-quality AI talent and the sustainable development of related technology and industry. Artificial intelligence education in China RP initially constituted a system for teaching subjects, and curricula and courses were offered at different levels in universities such as computer science, smart science and technology, electronic information and automation. The current problems of AI development in China’s public relations and AI infrastructure construction cannot be separated from the education of AI experts. Only by cultivating a sufficient number of high-quality AI talents can the smooth development of RP in China be ensured, so that it ascends to the top of international AI.
Regarding the training of AI talents, the state, committees, ministries and departments have proposed and made the following noteworthy suggestions:
1) Increase training of AI talents as a national educational priority.
Not so long ago, AI-related gaming activities promoted a wave of AI technology to enhance economic and social intelligence in the People’s Republic of China. AI talents are the top priority in construction to do a good job in development planning, mastering key technologies and promoting; And the application of all this requires high-quality talent. To meet this social demand, it is necessary to comprehensively plan the training of high-quality AI talent and provide a guarantee for Chinese AI to enter a new period of opportunity for sustainable development and development.
There is a need to further improve the understanding of AI personnel training, establish a comprehensive planning system, create experts and raise the bar as a national educational priority.
2) Create and standardize artificial intelligence education at all levels.
According to market demand, it is necessary to fully standardize AI education at all levels and open different schools of a certain scale and proportion, including universities, vocational and technical institutes, AI institutes and technical schools. In the country, the Ministry of Education fully expands the existing science and smart technology, the professional environment, which supports its management; Others do it pioneer Universities that enhance the academic teaching of artificial intelligence, by establishing postgraduate training in some related institutes; In addition to the dissemination of basic techniques also in primary and secondary schools. The same applies to popular science courses, which carry out various forms of extracurricular activities, as well as help develop the interest of students of all ages and schools. This is because the level of teachers has improved, as they standardize and organize the preparation of different educational materials.
3) Multi-media and multi-channel training of high-quality AI talents.
In the country, efforts are made to explore and search for various kinds of high-quality talents through multimedia and multi-channel, who carry out activities aimed at promoting and perfecting market-oriented products, and summarizing the experience to promote. Relevant government departments provide relevant policy support, and government and private research institutes are mainly involved in the innovation of AI products, so that AI science and technology personnel comprehensively carry out their duties. In addition to participating in the research and development of artificial intelligence products, the primary task of schools and colleges is to provide high-quality knowledge resources at all levels; Companies are striving for excellence in the manufacture of AI products, so that technicians and skilled workers can fully fulfill their roles. The AI Experts Incentive Mechanism was created to encourage the elite to a higher level of excellence. Undergraduates, graduates, and science and technology practitioners involved in learning and developing AI are encouraged to promote AI technology innovation and entrepreneurship and provide entrepreneurial funding support for their idea innovations and prototyping results.
4) Make full use of the Internet to nurture AI talents.
Internet technology is fully utilized to provide effective technical support to provide effective means of developing AI talents. It uses the high-level AI platform in line with international standards to create and improve the home AI network education platform, provide network education services for AI teaching at all levels, and provide auxiliary teaching tools for other courses.
Some scientists or entrepreneurs believe that the level of artificial intelligence technology in RP in China can already be compared to that of the United States of America. The present findings need scientific and objective evaluation. It is necessary to fully emphasize the results achieved and fully understand the gaps. Overestimating the current AI achievements in public relations in China is neither realistic nor conducive to the healthy development of the industry in question.
The USA is now the country with the highest overall level of AI technology. Analyzing the AI gap between public relations in China and the USA helps maintain a clear understanding. Many AI experts have pointed out that following the American theory of AI means that such applications and innovations are catching up quickly. However, there is still a huge gap with the USA in terms of basic theoretical research.
There are very few people doing basic theoretical research on AI in public relations in China. For example, the USA places brain sciences and other neurosciences at the top of research, while China’s independent R&D capabilities in this area are relatively weak and there are gaps in discoveries and innovations. For another example, many articles about deep learning It has been published in PR in China, but there is little research that is truly innovative in theory or of significant applied value.
Americans already understand what the next AI will be like, while that study has not yet begun to beat Spoon in RP in China. This is the country’s biggest challenge: it is a difficult problem, involving a wide range of aspects and cannot be solved by one or two. Team. This gap is largely due to the National Academic Assessment System and its practical application orientation. There is room for improvement in the standard of university analysis: it may take 5 to 15 years to fully catch up with the USA in AI.
American companies are investing a lot of money to form a pool of distinguished technical personnel who will be assigned to the companies by the time they are awarded their Ph.D. degrees and are involved in the research and development of pure AI technology. It is not surprising that the teamelite Very important, driven by scientific and technological interests and beliefs, is far ahead globally in the field of AI research. In public relations in China, there are few companies willing to spend a lot of money to form a pure AI technical research team, and there is also no incentive mechanism within companies. In national universities, the level of AI research is also far below the world-leading level.
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