Research on the Development Trend of Artificial Intelligence Based on Papers and Patent Analysis—Data Comparison Between China and the United States

2021 ◽  
pp. 60-67
Author(s):  
Jinyi Feng ◽  
Xiangyang Li
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Analysis Data ◽  
Development Trend ◽  
The United States ◽  
Patent Analysis ◽  
Data Comparison ◽  
The Development Trend

scholarly journals Current Situation and Development Trend of Mobile Communication Systems

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Lin Jun
Keyword(s):  
United States ◽  
Network Structure ◽  
Mobile Communication ◽  
Communication System ◽  
Communication Systems ◽  
Research Direction ◽  
Development Trend ◽  
The United States ◽  
Mobile Communication System ◽  
The Development Trend

This paper introduces the development background of mobile communication and the development of mobilecommunication. It introduces the application principle, network structure, main technology, the advantages anddisadvantages of the three generations of mobile communication system respectively, and introduces the currentthird generation mobile communication system, including its technical support and research direction, analysis andcomparison of the European WCDMA system, the United States CDMA2000 system and China's TD-SCDMA systemtechnical characteristics. Finally, the development trend and prospect of future mobile communication system arediscussed.

Development Trend of Computer Network

2013 ◽  
Vol 433-435 ◽  
pp. 1670-1673
Author(s):  
Guo Rong Chen
Keyword(s):  
United States ◽  
20Th Century ◽  
High Speed ◽  
Computer Network ◽  
Present Situation ◽  
Development Trend ◽  
The United States ◽  
Continuous Development ◽  
The Development Trend

Computer network is originated in the United States in 20th Century 60s, originally used for military communication, gradually enter into the civil, after a short 40 years of continuous development and improvement, has been widely applied in various fields, and is moving forward at high speed. In this paper, the present situation of computer network and the changes on peoples lives, this paper elaborates the development trend of computer network in china.

The ideological divide in public perceptions of self-driving cars

2020 ◽  
Vol 29 (4) ◽  
pp. 436-451
Author(s):  
Yilang Peng
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Scientific Literacy ◽  
Autonomous Vehicles ◽  
The United States ◽  
Public Perceptions ◽  
New Information ◽  
Nationally Representative ◽  
Self Driving Cars ◽  
Social Conservatism

Applications in artificial intelligence such as self-driving cars may profoundly transform our society, yet emerging technologies are frequently faced with suspicion or even hostility. Meanwhile, public opinions about scientific issues are increasingly polarized along the ideological line. By analyzing a nationally representative panel in the United States, we reveal an emerging ideological divide in public reactions to self-driving cars. Compared with liberals and Democrats, conservatives and Republicans express more concern about autonomous vehicles and more support for restrictively regulating autonomous vehicles. This ideological gap is largely driven by social conservatism. Moreover, both familiarity with driverless vehicles and scientific literacy reduce respondents’ concerns over driverless vehicles and support for regulation policies. Still, the effects of familiarity and scientific literacy are weaker among social conservatives, indicating that people may assimilate new information in a biased manner that promotes their worldviews.

scholarly journals Rising Sino-U.S. Competition in Artificial Intelligence

2018 ◽  
Vol 04 (02) ◽  
pp. 241-258 ◽  
Author(s):  
You Wang ◽  
Dingding Chen
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
The United States ◽  
Cutting Edge ◽  
The Other ◽  
Strategic Competition ◽  
Bilateral Relations ◽  
The Future ◽  
Important Field ◽  
Political Security

Both China and the United States are international leaders in artificial intelligence (AI). Although there remains a significant gap between them in cutting-edge technologies, and they have adopted different methods of planning and implementation, both countries have been mobilizing national resources and formulating policies to promote AI development, so as to achieve a strategic advantage over the other, especially against the backdrop of ever more intense and complicated strategic competition between them in recent years. As an epitome of their changing relationship, Sino-U.S. competition in AI development is manifested in economic, political, security, technological and other fields. It is expected that artificial intelligence will become an even more important field of competition between China and the United States, and that the trends of AI development and competition will to some extent determine the future dynamics of their bilateral relations.

scholarly journals China’s AI experience: industrial digitalization

2020 ◽  
Vol 28 (3) ◽  
pp. 536-546
Author(s):  
Marina S. Reshetnikova
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Global Economy ◽  
The United States ◽  
High Tech ◽  
Global Innovation ◽  
Innovative Products ◽  
Fundamental Research ◽  
The Moment

The rapid acceleration of scientific and technological progress, which started at the beginning of the 21st century, has become a decisive factor in influencing the global economy. Who will lead the global innovation race? This problem is especially relevant in the field of artificial intelligence (AI). At the moment, the United States and China are the main participants in the battle for dominance in this area. The author assesses Chinas innovative potential in the field of AI and identifies its achievements in this area. Based on the statistics provided, Chinas AI leadership has reached a critical point. China is confidently leading the new fundamental research of artificial intelligence, forming its theoretical base and applied research and development, which will contribute to the creation of new high-tech innovative products and services. However, in terms of the number and quality of AI specialists (AI Talents) and the number of companies engaged in AI, China is still lagging behind its main rival, namely the United States. The author proved that, despite the obvious successes of China, the United States still has an equal lead in the global innovation race.

ARTIFICIAL INTELLIGENCE IN THE UNITED STATES

2022 ◽  
pp. 5-12
Author(s):  
Margaret A. Goralski ◽  
Krystyna Górniak-Kocikowska
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
The United States

Conclusion

2020 ◽  
pp. 97-102
Author(s):  
Benjamin Wiggins
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Machine Learning ◽  
Risk Assessment ◽  
Big Data ◽  
The United States ◽  
Blaise Pascal ◽  
Division Problem ◽  
The World

Can risk assessment be made fair? The conclusion of Calculating Race returns to actuarial science’s foundations in probability. The roots of probability rest in a pair of problems posed to Blaise Pascal and Pierre de Fermat in the summer of 1654: “the Dice Problem” and “the Division Problem.” From their very foundation, the mathematics of probability offered the potential not only to be used to gain an advantage (as in the case of the Dice Problem), but also to divide material fairly (as in the case of the Division Problem). As the United States and the world enter an age driven by Big Data, algorithms, artificial intelligence, and machine learning and characterized by an actuarialization of everything, we must remember that risk assessment need not be put to use for individual, corporate, or government advantage but, rather, that it has always been capable of guiding how to distribute risk equitably instead.

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