On a global scale, the leading countries of artificial intelligence mainly include the United States, China and other developed countries. By 2065438+June 2007, the total number of artificial intelligence enterprises in the world had reached 2542, including 1078 in the United States, accounting for 42%; There are 592 in China, accounting for 23%. There are 486 differences between China and America. The remaining 872 enterprises are located in Sweden, Singapore, Japan, Britain, Australia, Israel, India and other countries.
According to the historical statistics of enterprises, the development of artificial intelligence enterprises in the United States is five years earlier than that in China. The United States first sprouted in1991; 1998 entered the development period; The period of rapid growth began after 2005; After 20 13, the development is stable. China AI enterprise was born in 1996, and the industry entered a development period in 2003. After 20 15 reached the peak, it entered the platform period.
Second, the layout of the entire industry in the United States, while China has only made breakthroughs in some areas.
The layout of the AI industry in the United States is leading in an all-round way, and it has accumulated strong technological innovation advantages in the basic layer, technology layer and application layer, especially in the core areas such as algorithms, chips and data, and the number of enterprises at all levels is ahead of that of China.
Judging from the number of enterprises in the basic layer (mainly processors/chips), there are 14 in China, 33 in the United States and only 42% in China.
On the technical level (natural language processing/computer vision and image/technology platform), China 273, the United States 586 and China 46%.
There are 304 application layers in China (machine learning applications/intelligent drones/intelligent robots/autopilot assisted driving/voice recognition), 488 in the United States and 62.3% in China.
Third, from the perspective of talent team, the echelon of the United States is complete, while China is uneven.
The competition in the AI industry is, in the final analysis, the competition between talents and knowledge reserves. Only by investing more researchers and continuously strengthening basic research can more intelligent technologies be obtained.
American researchers pay more attention to basic research, the training system of artificial intelligence talents is solid, and the advantages of research-oriented talents are obvious. Specifically, the United States has formed a pattern that can lead the world for a long time in key links such as basic discipline construction, patent and paper publication, high-end R&D talents, venture capital and leading enterprises.
The total number of industrial talents in the United States is about twice that of China. There are 0/078 artificial intelligence enterprises in the United States/KLOC, with about 78,000 employees, and there are 592 companies in China with about 39,000 employees, which is about 50% of that in the United States.
The number of basic talents in the United States is 13.8 times that of China. The number of American teams has completely suppressed China in four hot areas: processors/chips, machine learning applications, natural language processing and intelligent drones.
In the research field, in recent years, the number of papers and patents in the field of artificial intelligence in China has maintained rapid growth and entered the first echelon. Comparatively speaking, China needs to continuously invest R&D expenses and R&D personnel scale in artificial intelligence, and increase the training of talents in basic disciplines, especially in the fields of algorithms and computing ability.
Fourth, from the hot areas of the AI industry, China and the United States have their own advantages.
Deep learning has led the current wave of AI development. The reason is that computing power and data have made a major breakthrough in the past decade. At present, there are nine development hotspots in the artificial intelligence industry, namely chips, natural language processing, speech recognition, machine learning applications, computer vision and images, technology platforms, intelligent drones, intelligent robots and autonomous driving.
The top three areas of American AI startups are: 252 natural language processing, 242 machine learning, 190 computer vision and images.