(Original headline: China seeks dominance of global AI industry)
Netease Technology News October 17 news, according to "Financial Times" reported that in the artificial intelligence development of this arms race, China wants to become the world's undisputed AI superpower. The National Science Foundation (NSF) did not increase investment this year. In contrast, China promised to "use government and social capital vigorously" to lead the industry.
U.S. and Chinese technology companies are investing huge amounts of money and human resources to develop AI, but the Chinese government’s blueprint for investing in artificial intelligence—building a $150 billion industry by 2030—highlights its desire to defeat the United States. The few people will ignore China's influence in the AI ​​field.
Competitive Advantage
"It will be too pessimistic to realize in 2030." Kaifu Li, founder of the innovation work, said. In one breath, he cited China's various advantages: population base; data; talent; even the number of lines of code written.
The number of Chinese netizens has reached 730 million, nearly twice that of the United States, and they are more familiar with technology. "China's mobile industry is far ahead of any other country," said one person in the tech industry. "So you have a huge lab to study all kinds of exciting AI applications. In China, we see every day Different consumer behaviors have emerged, compared with much slower development in the United States."
Then, the country has a huge amount of data, and the data is the lifeline of various types of AI applications from the driverless cars to the e-commerce sites of recommended products. The three Internet giants Baidu, Alibaba, and Tencent (BAT) have collected a large amount of user data from their respective popular product services. They can be said to know what people bought, where they traveled, and who they talked to.
In terms of financial resources, China has also made it impossible for the United States, which is cutting its budget, to match. James Lewis, a senior researcher at the Center for Strategic and International Studies in Washington, pointed out that "Chinese people invest billions of dollars, and we in the United States only invest millions of dollars. When your investment is only one-thousandth of others It is very difficult for you to compete. Firepower is so different from others that we cannot win; even if the efficiency of the other side is only half that of ours, our firepower is still only one-fifth of them."
Some people say that China's operational efficiency in this area is improving. Lei Ming, co-founder of Baidu and co-director of the AI ​​Innovation Center at Peking University, said: "The government's investment style is becoming smarter."
“In the past, they just invested money for research projects, large state-owned enterprises, or colleges and universities. But now, they are more likely to invest in private companies and give them to companies that are more active and can really make product offerings.â€
In its report on its AI development goals, the Chinese government also emphasized that “look around the world, China must increase the development of AI to the national strategic level... It must be firmly grasped in the new stage of AI international competition to create strategic goals in order to create New competitive advantages, promote the development of new areas and effectively protect national security."
Still lacking talent
There are also critics who do not put China in the sights, saying that the country still lags far behind other countries in the AI ​​field and lacks the talent resources needed to catch up. A recent survey by LinkedIn, a professional social network, shows that only 50,000 people in China work on AI technology—significantly less than 850,000 in the United States and only one-third in the United Kingdom and India.
In order to catch up, whether at the government or the private sector level, China is seeking to attract large numbers of overseas talents, especially returnees. A typical representative of overseas returnees is Lu Qi. He once worked for Microsoft and currently serves as vice chairman of Baidu's board of directors and general manager of the smart driving business group.
Whether or not these talents fit with the country’s development philosophy remains to be seen: China will participate in the global AI development and development community, not just the extent of participation in arms races between countries.
Chinese engineers claim that their research is of a shared nature. Many people work on open platforms - Baidu even claims that its recently released code base allows individuals to assemble vehicles that support (limited) self-driving cars in as little as three days.
However, BAT, Google, Facebook, Microsoft, and Amazon may still control AI, the core technology of the next industrial revolution.
"The seven giants in the AI ​​field will become mysterious and create a virtuous circle (do more product services, accumulate more data), so that the rest can only eat bread crumbs?" Kai-fu Lee asked. "I don't agree with this."
In any case, in order to gain dominance in the AI ​​field, China will invest huge amounts of capital and political capital.
Academic progress
The "Financial Times" recently discovered that last year, China's artificial intelligence academic papers exceeded the total number of 28 EU countries for the first time.
This result shows that the country attaches great importance to it becoming the "global leader" of artificial intelligence research and application by 2030. China outlined this goal in its government policy on AI development this summer.
China hopes to surpass the United States and Europe in using this technology to improve economic efficiency and national security.
The Financial Times' analysis based on Elsevier’s world’s largest database of academic publications shows that in 2016, the number of AI-related research papers exported by China increased by nearly 20% from the previous year, while the EU and the United States showed a decrease. During the period, China published 4,724 AI papers, which was 3,932 higher than the EU.
However, the quality of basic research in the country is still a problem. Although China is disdain- ful in the number of AI studies, it lags behind the European Union in the number of AI papers cited as the most cited 5%—but it surpassed the United States last year. (Lebang)
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