At the end of 2015, Shanghai Jiaotong University opened the “China Economic New Normal President Class†for Japanese executives to teach China's mobile payment and sharing economy.
In April of this year, Mr. Uchida, chairman and general manager of 柒一壹(China) Investment Co., Ltd., spoke of his experience of riding a shared bicycle in China. “The cadres at our Japanese headquarters also said last month, and Japan also wants The same service was launched. "After half a year, the 7-11 convenience store announced that it will cooperate with the Softbank Group to launch a shared bicycle service in Japan.
Although Japan's per capita GDP is still about five times that of China, in some areas, China is catching up and even surpassing Japan in a flying manner, including artificial intelligence.
As a veteran capitalist country, the total number of Japanese Nobel laureates is second only to the United States, and its scientific strength is evident. In the field of artificial intelligence, Japan has also invested heavily.
In the 1980s, due to the rise of the expert system, artificial intelligence ushered in the second wave of development, the Japanese government began a huge investment in the "fifth generation computer" project, aiming to create a dialogue, translate language, explain images, and A machine that infers like a human.
Although Japan's "fifth-generation computer" was limited by the technology at the time, it did not succeed, but it is still an example of Japan's role as a leader in artificial intelligence. In addition, the research institutes opened by Japanese companies including NEC in China have also cultivated a group of early AI talents.
After entering the new century, driven by big data, GPU, and deep learning algorithms, artificial intelligence ushered in the third wave of development. However, in the AI ​​era marked by AlphaGo's victory over Li Shishi, the situation began to reverse. Many professionals believe that today is the era of Sino-US contending, Japan has been left behind, and this is reflected in all aspects.
Number and quality of papers
In 2017, IJCAI, the top conference in the field of artificial intelligence, was held in Melbourne, Australia. According to Tencent Technology, there are 475 papers in China, which accounted for 34% of the total number of papers, and the number of papers with the largest number of papers. The United States has 255 papers, which is 18% of the total number of papers. It is worth noting that Among the shortlisted American papers, some researchers are Chinese. At the same time, the number of papers in Japan was 37, accounting for only 3% of the total number of papers.
In fact, not only is this meeting of IJCAI, but other top-level meetings of artificial intelligence also show a trend: the number of papers from Chinese researchers is being blown out.
Of course, quantity does not necessarily mean quality. However, a series of data shows that the quality of Chinese scholars' papers is also steadily improving.
The artificial intelligence report released by the White House last year showed that Chinese scholars' "deep learning" related papers began to explode in 2013, and achieved a transcendence to the United States in mid-2013, ranking first in the world. Not only that, but China has also succeeded in catching up with the quality of the paper. As shown in the following figure, the number of citations of Chinese scholars' “deep learning†papers has surpassed that of the United States in 2015, ranking first in the world.
Recently, the Japanese economic news and academic publishing giant Elsevier (Amsterdam, the Netherlands) jointly analyzed the trend of global papers on artificial intelligence.
The results show that the number of AI-related papers cited is ranked first in the United States with voice recognition technology, Microsoft, the second is Singapore's Nanyang Technological University, the third is the Chinese Academy of Sciences, and the Chinese Tsinghua University is ranked first. 9. Among the top 100, there are 30 institutions in the United States, and 15 of them are in China, while only the University of Tokyo ranks 64th.
Obviously, regardless of the number of papers or the quality of the papers, China's strength in the field of artificial intelligence is gradually breaking the barriers of the Western world. At the same time, the improvement of the level of scholars also indirectly reflects the ranking of the university.
College artificial intelligence professional ranking
In September of this year, Professor Emery Berger of the University of Massachusetts Amherst announced a CSRankings project for the CS strength ranking of global institutions. The ranking is based on the number of papers published by academic instructors at major conferences in the field of computer science. It consists of four main areas: Artificial Intelligence (AI), Systems, Theory, and Interdisciplinary Areas. .
As shown in the figure below, in the field of artificial intelligence, American universities are still in an absolute leading position, but China's Peking University and Tsinghua University have successfully squeezed into the top 10, ranking third and eighth, while no university in Japan entered before. 10 .
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