Review and visual analysis of global artificial intelligence research in the context of big data

Abstract

This paper aims to review and analyze the trend and development of global artificial intelligence (AI) research in the context of big data. With the rapid development of information technology and the Internet, as well as the wide application of big data, artificial intelligence has made great progress in various fields. This paper uses the visual analysis method to review and explore the global academic papers and research related to artificial intelligence in the past few years. The primary research topics covered in this paper include: the themes and hot spots of global artificial intelligence research, the distribution of research institutions and authors, the research output of countries and regions, and the development trend of artificial intelligence research. Through visual analysis of global artificial intelligence research, we can have an in-depth understanding of the overall pattern of AI research and provide reference for future research directions and decisions. Global artificial intelligence research in the context of big data shows many interesting trends. For example, with the continuous maturity of deep learning and other technologies, artificial intelligence will be more widely used in medical, transportation, finance and other fields. At the same time, issues such as ethics, privacy and security are also receiving increasing attention. Researchers will be committed to solving these challenges and promoting the sustainable development of artificial intelligence. Through the review and analysis of global artificial intelligence research, we can better understand the development trends of this field and provide an important reference for future research directions and decision-making. This holds significant importance in advancing the further development and application of artificial intelligence.