Artificial intelligence is an important driving force leading a new round of global scientific and technological revolution and industrial change, which is profoundly changing people’s production and life style. Many countries have introduced relevant policies and measures to promote the integration of artificial intelligence technology and application with traditional economy and accelerate the development of artificial intelligence industry.

At present, the emerging information technology represented by artificial intelligence (AI) is booming, and the application technology of artificial intelligence is accelerating the popularization, especially in the fields of medical health, education, finance, security and defense and other professional services. A new study by McKinsey, a consulting company, found that since the epidemic prevention and control, the traditional economy has accelerated the intelligent transformation, accelerating the transformation speed of new technologies represented by artificial intelligence. It is estimated that about 30% of the jobs will be automated and intelligent by 2030.

Intelligent research and development of speed-up robot

South Korea’s MBN TV station recently launched its first AI anchor. The AI anchor, whose appearance is almost the same as that of a real person, imitated the voice and intonation of a real person and successfully broadcasted the main news and several newsletters of the day. MBN TV said that the AI anchor can quickly broadcast news content to the audience in case of emergency such as disaster, and can work continuously all day, saving a lot of manpower, time and cost.

Germany’s artificial intelligence medical robot “ADA” has been concerned. When people input symptoms in the application interface of ADA, ADA will analyze and evaluate the patient’s symptoms through artificial intelligence algorithm and give treatment suggestions. ADA’s diagnosis and treatment “talent” comes from the knowledge and experience of more than 70 doctors, mathematicians, data experts and computer scientists. “We spent seven years focusing on data processing in artificial intelligence and building a global network of medical experts to provide medical support,” said natehart, head of the technology company responsible for developing ADA At present, more than 3 million people around the world have used ADA. In 2017, the start-up received an investment of 40 million euros.

In November last year, NTT and the National Institute of information science announced that the artificial intelligence technology developed by NTT challenged the written test question with a full score of 200 in Japan’s “college entrance examination” and got a high score of 185. NTT says it has been working to improve AI’s automatic answer technology for English pen test questions and enhance its natural language processing knowledge acquired through deep learning. Since 2011, the National Institute of information science of Japan and the University of Tokyo have jointly launched an artificial intelligence project to test the extent to which artificial intelligence can simulate human thinking and problem-solving ability.

Not long ago, the second EU artificial intelligence alliance conference focused on a number of typical cases to introduce how artificial intelligence application technology can help epidemic prevention and control. For example, novel coronavirus pneumonia is trained by intelligent robot, and CT is analyzed by artificial intelligence system to relieve the pressure of medical staff. Su aiteng, chairman and professor of medical imaging research center of Leuven University in Belgium, said that practice has proved that artificial intelligence can analyze lung CT more effectively than radiologists.

Many countries introduce policies to promote industrial development

In recent years, more and more countries have issued policies to support the development of artificial intelligence industry. In February this year, the European Union released the white paper on artificial intelligence to promote the development of the artificial intelligence industry. In the past three years, EU funds for AI research and innovation have increased to 1.5 billion euros, up 70% year on year. Recently, the European Union has also proposed a major special appropriation to support artificial intelligence research projects under the “digital Europe” program. The EU hopes to attract more than 20 billion euros of investment in artificial intelligence every year in the next 10 years.

France issued the “French AI strategy” in May 2018 to promote research institutions to commercialize ai r & D achievements from the policy level. The French government plans to invest 1.5 billion euros in the development of artificial intelligence industry by the end of 2022. In 2019 alone, there will be 102 newly registered AI enterprises in France.

In December 2019, the South Korean government released the “national strategy for artificial intelligence”, proposing 100 topics in nine major fields, and plans to enhance the competitiveness of South Korea in the field of artificial intelligence to the forefront of the world by 2030. The South Korean government strives to build a successful AI development platform and fully open public data by 2021, build a Guangzhou AI park by 2024, and invest about 1 trillion won (US $1.090 won) in the research and development of a new generation of integrated memory and computing AI chips by 2029.

In June last year, the Japanese government issued the “Ai strategy 2019” to attract talents from all over the world and enhance the competitiveness of its AI industry. In December last year, the University of Tokyo and Softbank signed an agreement, announcing that they would jointly build the world’s top Institute of artificial intelligence, dedicated to the basic and applied research of artificial intelligence. Softbank will invest 20 billion yen (about 104 yen per US dollar) in related research in the next 10 years to promote the development of artificial intelligence research and related industries in Japan.

Broad application prospect and economic benefit

Experts say that the future global sustainable growth increasingly depends on the value created by data, and artificial intelligence is one of the most important application technologies in the digital economy. Artificial intelligence will play an important role in precision agriculture, telemedicine and automatic driving.

According to the latest research of PWC, by 2030, with the use of innovative products and efficiency improvement of artificial intelligence technology, the global economy is expected to grow by an additional 13.4 trillion euros. According to the research, the productivity of most industries in Germany, especially the medical, energy and automobile industries, will be significantly improved due to the application of artificial intelligence technology. It is estimated that the German economy will achieve 11.3% of the added value by 2030. The South Korean government predicts that if the relevant measures of the national strategy for artificial intelligence are effectively implemented, by 2030, South Korea will create 455 trillion won economic benefits in the field of artificial intelligence.

The Ministry of economy and industry of Japan has conducted a survey on about 2000 small and medium-sized enterprises and enterprises providing artificial intelligence services in the manufacturing and construction industries, and screened out the business that can be replaced by artificial intelligence. It is estimated that if small and medium-sized enterprises introduce artificial intelligence technology, they will generate 11 trillion yen of economic benefits by 2025, which can solve the problem of labor shortage caused by the aging of children to a certain extent .

Kim Shiho, a professor at Yonsei University of South Korea, pointed out that with the development of the artificial intelligence industry, governments need to study all kinds of new problems that may arise, including the disappearance of basic labor force centered jobs, the security of artificial intelligence services, data security and other issues, and study coping strategies and necessary legal and institutional amendments in advance.

Editor in charge: CC

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