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China and the U.S. Launch Digital Technology Competition China Has "Scale" Advantage

via:CnBeta     time:2018/3/17 16:31:22     readed:360

According to the British "Economist" weekly website reported on March 15, China has the world's largest online payment market, is exporting equipment to the world, China has the world's fastest supercomputer, is building the world's largest quantum The Computational Research Center, the satellite navigation system being developed, will challenge the United States’ Global Positioning System (GPS) by 2020.

The number of artificial intelligence (AI) scientists in China is one of the highest in the world. China has more than 800 million Internet users and more people than any other country. This means that China has more data available for the development of AI.

The report said that the problem lies in how the United States responds. The key to answering this question is that people should keep in mind the reasons why the United States had achieved success in the 1950s and 1960s. At that time, in order to surpass the Soviet Union in space and weapons, the U.S. government introduced plans to stimulate investment in education, scientific research, and various technical projects. This ultimately led to the rise of Silicon Valley. Silicon Valley advocates free exploration, active competition, and healthy capital incentives. During this period, the United States also introduced a system of immigration that welcomes talent from around the world. After the "satellite moment" of 60 years, the United States now also needs to combine public investment with private enterprise when advancing a national plan.

The report boasted that on the other hand, the United States should upgrade its national security defense measures in the face of possible digital competition from China. The government should expand the terms of reference of foreign investment committees in the United States and strengthen the review of foreign investment and mergers and acquisitions transactions in the AI ​​field.

According to a report by the British “Financial Times” website on March 15, the US’s dominance in the AI ​​field faced severe challenges for the first time. One of the most striking features of the current AI boom is that China’s sudden emergence has become an important force on the global stage.

According to the report, one of the easiest and most effective ways to measure a country’s scientific and technological strength is to look at the country’s publication of papers in important academic journals. The annual meeting of the American Artificial Intelligence Association is one of the most important academic conferences in the AI ​​field. When the annual meeting was held in 1980, the United States had an absolute advantage. There was no paper from China, and Europeans did not participate much.

According to reports, by 1998, the United States still dominated, but Europe’s status has risen significantly. However, only one paper was submitted by China.

The situation is very different now. At the annual meeting held in New Orleans, US in February 2018, China had far more submissions than the United States (1,242 in China and 934 in the United States). More persuasively, China is only 3 less than the United States in terms of the number of papers accepted.

We will inevitably draw the following conclusion: China is fiercely competing with the United States in the AI ​​field.

So why is China suddenly so good? The answer is simple: scale. The machine learning technology behind the current AI heat requires a lot of data. Face recognition, machine translation, and driverless cars all require a lot of "training data."

According to reports, the Chinese market is larger than the United States or Europe in terms of population, and Chinese companies have natural advantages in obtaining data. Although ordinary Western consumers may not be familiar with their names, China’sTencentTechnology companies such as Baidu, Alibaba, and JD.com have become world giants in terms of users and market value. These companies are investing in AI on a large scale.

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