Shulou(Shulou.com)06/02 Report--

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2019-06-24 09:47:29

▲ Photo Source: Internet

There is still a big gap between China and the United States in terms of the number of top talents in AI.

According to the latest survey data released by Canadian start-up Element AI, there are 22400 top talents in the global AI industry, of which more than half are in the United States (12950). Although China ranks second, it only accounts for about 10% of them, that is, 2525. The United States and China were followed by the United Kingdom (1475), Germany (935) and Canada (815), while Japan ranked sixth with 805.

As can be seen from the data report, the number of top AI talents in the United States is nearly 4 times higher than that in China, and there is still a large gap between China and the United States in the AI industry.

The report points out that the technologies related to improving the efficiency of data analysis, eliminating analysis bias and demonstrating the AI judgment process are the most cutting-edge technologies in this field, and there is a lot of research work on these technologies.

▲ Photo Source: Internet

Japan, which has a lot of achievements in the field of technology, does not rank high this time, but it is reasonable. Japanese local education lacks the diversity of training talents, and there are few Japanese talents receiving relevant professional education overseas, which leads to their current lack of competitiveness in the field of AI.

But the Japanese government and companies have begun to take action, and in March this year, the Japanese government set a goal of training 250000 talents in the AI industry each year.

The reason why the United States is able to take the lead in the number of talents is inseparable from its emphasis on AI education. The United States formulated the education policy related to AI technology a decade ago, while China only began to formulate a new generation of AI development plan and set up related disciplines in 2017.

If China, which has lagged behind in time, wants to narrow the gap with the United States as soon as possible, it needs to pay more attention to AI research and education. With the advent of the 5G era, AI actually has many technical hotspots to study.

For example, the field of AI encryption is a good direction. In the 5G era of the Internet of everything, our information will flow on all kinds of data networks, so the privacy and security of data will become the focus of more people's concern.

▲ Photo Source: Internet

In this regard, Wang Jielin, a young scholar engaged in basic algorithm research, put forward his own views.

He said, "according to Shannon's theory, in the field of source coding and channel coding, there are already ways to approach the theoretical limit, and everyone thinks that this area is no longer necessary or difficult to study. However, none of these coding methods are proposed by our country, and approaching the theoretical limit does not reach the limit, is there a better simple and easy to implement method, and reach the theoretical limit? It needs to be studied, and Jellin code is one of them. "

Teacher Wang believes that now many colleges and universities are willing to spend high salaries to hire AI experts, which precisely shows that now people attach importance to it and realize that their shortcomings are not a bad thing, but technological innovation cannot be achieved by fate, and reasonable and effective ability to distinguish innovative technologies is particularly important. With the ability to distinguish, we can find talents and cultivate skills.

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