the us did not emerge very far ahead. extrapolating from data through the end of 2018 suggests china will match the us in its share of the top 10 percent of ai research papers in 2020—the same year china’s government says it wants to draw level with america’s ai prowess. citation ...
The findings highlight concerns in Washington and Silicon Valley that China is racing ahead of the US in key areas of technology such as autonomous vehicles,virtual realityand fifth-generation wireless networks. Allen Institute researchers Field Cady and Oren Etzioni said the surge in AI investment ...
The look of Hua Zhibing soon became a hot topic on the Internet. Many people are proud of China’s progress in AI field. 1. What is the passage really about? A.Education in China.B.China’s progress in AI field. C.Hot topics on the Internet.D.The youngest students in China’s un...
In July 2017, China’s government published an ambitiouspolicy paper, outlining how the country would become the world leader in AI by the year 2030. But by some measures China has already succeeded in this goal — a decade ahead of schedule. A newstudyshows that China’s output of influen...
How was China able to leapfrog countries that had been working on this technology for much longer to build a world-leading AI research infrastructure in just 20 years? Here, the concept of “catch-up cycles” can help us understand. In essence, the catch-up cycle framework suggests that, ...
As developments in AI accelerate, some in the US fear that the ability of China's powerful central government to marshal data and pour resources into the field will push it ahead. The country has announced billions in funding forstart-ups, launched programmes to woo researchers from overseas an...
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is well suited tonatural language processing (NLP),computer vision, and other tasks that involve the fast, accurate identification complex patterns and relationships in large amounts of data. Some form of deep learning powers most of the artificial intelligence (AI) applications in our lives today...
is well suited tonatural language processing (NLP),computer vision, and other tasks that involve the fast, accurate identification complex patterns and relationships in large amounts of data. Some form of deep learning powers most of the artificial intelligence (AI) applications in our lives today...