Subjects: Computer Science >> Other Disciplines of Computer Science submitted time 2024-06-28 Cooperative journals: 《中国科学院院刊》
Abstract： Artificial intelligence (AI) is currently one of the most prominent fields in the technology industry, with China and the US being two global centers for AI research and development. However, the two countries differ in their development levels of the AI industry. In particular, the emergence of ChatGPT in 2022 has sparked extensive discussions regarding the capabilities and competitiveness of Chinese AI companies. This study analyzes over 120 000 AI invention patents approved in the past five years in both China and the US. Firstly, it constructs a multidimensional index based on AI patent features to identify the top 10 AI companies in both countries. Further, the analysis reveals significant differences in patent technology and research networks between these two groups. Chinese leading companies have notably fewer AI patents, less patent citation, and lower conversion rates. The patents of leading Chinese companies are mainly concentrated on application-level technologies such as image recognition and speech recognition, and have not yet formed distinctive AI technology clusters. In contrast, American leading companies have generated more influential AI patents, particularly forming multiple technology clusters in the foundational and core technology layers of the AI industry. In terms of academic research, Chinese leading companies primarily collaborate with domestic research institutions, while American leading companies demonstrate stronger collaboration with Chinese institutions, as well as among domestic companies. This comparative analysis reveals prominent differences in technological capabilities and collaboration strategies of leading AI companies in China and in the US, and provides managerial insights and three policy suggestions for better developing China’s AI industry.
Subjects: Statistics >> Social Statistics submitted time 2024-05-18 Cooperative journals: 《中国科学院院刊》
Abstract： The construction and operation of large-scale research infrastructures involves not only basic scientific research issues, but also complex engineering and management issues. Therefore, strengthening and optimizing professional talent team-building is a key factor in comprehensively improving the effectiveness of large-scale research infrastructures. However, current management system of these infrastructures pays insufficient attention to professional engineering and technical talents and management talents in terms of financial support, talent evaluation, and incentive system construction, which has seriously reduced the stability and work enthusiasm of these talents, which in turn directly restricts the scientific and social benefits of the infrastructures. By investigating several typical domestic large-scale research infrastructures, this study sorts out their problems and difficulties in professional talent team-building. On this basis, combined with the advanced experience of international related infrastructures, this study puts forward three policy suggestions, aiming to enable China to better rely on large-scale research infrastructures to become a world scientific and technological power.
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