180 Chinese universities add this major, US, Japan, Germany, Korea, Russia update original layout, what else the report reveals

Jiefang Daily – Shangguan News reporter learned from this morning’s Pujiang Innovation Forum that the China Academy of Science and Technology Development Strategy released the “China’s New Generation of Artificial Intelligence Development Report 2020”. Li Xiuquan, a researcher at the China Academy of Science and Technology for Development Strategy, introduced some “highlights” of AI development at home and abroad in 2019.

Many countries have updated their original AI layouts

In 2019, the United States, Japan, Germany, South Korea and Russia have all updated their original AI layouts. The great potential of AI for industrial change, social change, etc. is more widely agreed upon by more countries. At least 18 other countries are studying and formulating AI strategies at the national level.

China has a good foundation for AI development, but there are obvious shortcomings. In general, the United States is in a leading position in all aspects involving AI development, and China has certain advantages in terms of scientific research output, industrial development and policy environment, but there is still a lot of room for improvement in the pool of talents, especially high-end talents, as well as the degree of openness of AI open source.

China’s performance in 2019 in promoting international cooperation in AI with a more open stance is more prominent. The number of AI international cooperation papers has increased year by year and the rate of international cooperation has increased slightly. In 2019, countries along the “Belt and Road” are very active in cooperation in the field of AI, and AI has become the “Belt and Road”. “Important themes for international cooperation.

180 colleges and universities add new undergraduate majors in artificial intelligence

Strengthening platform construction and environmental cultivation has become an important initiative to promote the development of artificial intelligence in China in 2019. The Ministry of Science and Technology (MOST) has added 10 new national platforms for the development of new-generation AI, while seven new-generation AI innovation pilot zones have been built.

In terms of research output, China has achieved double-digit growth in both AI papers and patents, with 28,700 papers and more than 30,000 patents, as well as significant progress in high-level results.

The main role of enterprise innovation has been significantly enhanced, and enterprises have begun to increase their investment in basic AI research and set up many AI-focused laboratories.

The industrial structure of AI is gradually improving, which is manifested in the fact that AI is involved in very many fields, and in some fields it is slowly starting to enter the mature stage from the early stage. Scenario innovation has become an important feature in 2019 to drive the technical iteration and landing of AI through scenario innovation, which also plays an important role in the anti-epidemic process.

There is a huge shortage of AI talent in China, and talent development continues to advance in 2019, with 180 universities adding new undergraduate programs in AI in 2019.

China’s contribution to open source software for AI is second only to the US

Open source openness is a very prominent aspect in 2019, including machine learning, deep learning these open source communities are developing rapidly, China’s artificial intelligence open source software and code has reached the second largest contribution in the international open source community, only after the United States.

The development of AI and the country’s regional strategy have shown a high degree of synergy, with the three main industrial clusters of Beijing-Tianjin-Hebei, Yangtze River Delta, and Guangdong-Hong Kong-Macao becoming important domestic AI curation zones and accounting for about 83% of the number of companies.

China is actively involved in building an international cooperation network for AI governance. Domestically, Beijing and Shanghai have taken the lead in exploring AI governance systems and issuing their own governance approaches.