Studying the development trend of Artificial Intelligence in the Group 20, providing valuable information for artificial intelligence development planning and decision. Selecting Web of Science Core Collection and Derwent Innovation as data sources, adopting bibliometrics method and visualization method to analyze the basic research performance, frontier research performance and technological performance in artificial intelligence and its subdomains. America’s S&T performance in artificial intelligence ranks first in the Group 20, China follows behind with significant growth, especially in the last five years, the research influence and technological performance of China has ranked first in the Group 20. America leads the Group 20 in all the subdomains of artificial intelligence, China is prominent in machine learning, natural language processing and computer vision.

Ocean Networks Canada is currently the largest and most technologically advanced integrated ocean observation network in the world. Through the combination of Web of Science Core Collection database retrieval and artificial cleaning, the research papers related to Ocean Networks Canada were selected. By using the methods of bibliometrics, text mining and cluster analysis, this paper analyzed the annual development trends, mainstream research countries and cooperation, important research institutes and cooperation, research areas, interdisciplinary areas and science themes to reveal the overall international situations of Ocean Networks Canada in depth. The development trend of observation provides valuable reference for ocean observation research and ocean observation infrastructure construction in China.

In recent years, AI has become a new focus of international competition, and a new opportunity for China’s social and economic development. As the most direct and objective embodiments, patent statistical analysis in the field of AI is great practical significance to grasp the objective status of industrial development for our country. This article divides the technical branches of AI according to the New Generation of AI Development Plan, and deeply analyses the development status of AI patents in China in 2017. At present, there is still a gap between China and developed countries in the overall development level of AI, especially in basic theory, core algorithm and key equipment. We need to increase innovation investment to enhance the competitiveness of AI industry development in our country.