China News Service, Beijing, March 7 (Reporter Zhao Yejiao) The 2024 Chinese government work report proposes to deepen the research and development applications of big data, artificial intelligence, etc., carry out the "artificial intelligence +" action, and create an internationally competitive digital industry cluster.
As China enters a period of accelerated development of artificial intelligence, its driving force is being further amplified.
During the National Two Sessions, many representatives paid "all-round" attention to this field regarding how China can seize the initiative in the artificial intelligence era. Relevant suggestions include improving top-level design, building computing infrastructure, and promoting scenario applications.
China (Hangzhou) Artificial Intelligence Town located in Hangzhou.
Photo courtesy of Tan Qin
This year, the proposal of the "Artificial Intelligence +" action is a forward-looking and comprehensive policy design made by Chinese officials in the era of artificial intelligence, sending a signal to strengthen top-level design.
According to Chen Xiaoping, member of the Standing Committee of the National Committee of the Chinese People’s Political Consultative Conference, vice chairman of the Zhejiang Provincial Committee of the Chinese People’s Political Consultative Conference, and chairman of the Zhejiang Provincial Committee for Democratic National Construction Association, top-level design is a key element in seizing the initiative in the development of artificial intelligence.
He suggested formulating a national strategic plan for the development of artificial intelligence, giving priority to a number of competitive regions and enterprises, and providing key support for "one place, one policy" and "one matter, one discussion".
Computing power determines the development speed of artificial intelligence.
In terms of computing infrastructure construction, Chen Xiaoping proposed to "accelerate the construction of an integrated computing network for eastern and western computing, and transfer computing-intensive services from the eastern region to the west for processing through 'pairing' to achieve cross-regional Efficient scheduling and utilization of computing resources.”
Focusing on computing power, Wang Jianyi, a representative of the National People's Congress and chairman of Futong Group, suggested that the national computing power infrastructure should be laid out appropriately in advance and investment in the construction of transportation network should be increased.
"The greater the demand for computing power, the more transport capacity needs to keep up." Wang Jianyi suggested that on the one hand, the Ministry of Industry and Information Technology of China and other leading companies in the industry should take the lead to play the role of a national science and technology innovation platform to accelerate the development of optical networks and other fields. The research and development of cutting-edge new technologies and new products will vigorously promote the industrialization process of cutting-edge technology products; on the other hand, we can plan ahead and establish a national-level "ultra-high speed, ultra-low attenuation, ultra-low latency" new technology for future artificial intelligence applications. The “artery” of the first-generation trunk line transport network.
The 2023 Global Artificial Intelligence Technology Conference was held in Hangzhou.
(File photo) Photo courtesy of Yuhang District Media Center
Large models are a milestone technology for artificial intelligence to move towards general intelligence.
The scale and value of China's domestically produced large models are still in their infancy.
How to speed up its development?
Yang Jianyu, a representative of the National People's Congress and Secretary of the Party Committee, Chairman and General Manager of China Mobile Zhejiang Company, believes that it is necessary to speed up technological research on domestic large-scale models, encourage industry, academia and research institutes to collaborate to create large-scale domestic open source and open basic models; establish national comprehensive models in areas with better foundations such as Zhejiang Sexual Science Center to accelerate technological research and achievement transformation; formulate talent training plans and improve talent discovery, training, and mobility mechanisms.
In terms of improving the market mechanism of strategic emerging industries, Yang Jianyu said that we can rely on major innovation carriers such as the National Artificial Intelligence Innovation and Application Pilot Zone to promote the formation of a batch of easy-to-use and practical large-model products, and issue implementation guidelines for AI large-scale models by industry.
At the same time, we will accelerate the transformation of the manufacturing industry to "AI+", incorporate "AI+" scenario applications into future factory evaluation standards, and establish an AI+ new industrialization pilot demonstration base.
Empowering industry development is an important manifestation of the value of artificial intelligence.
For example, focusing on the silk textile industry, Tu Hongyan, a member of the National People's Congress and chairman of Wanshili Group, suggested that the state support the industry in building a national AIGC innovation platform to achieve efficient development and rapid implementation of artificial intelligence application scenarios in the industry.
"This vertical model, born from industry practice and based on the re-innovation of underlying technology, can best solve the industry's pain points and improve industrial efficiency." She said that the government can give more leadership in the construction and operation of innovation platforms to industry leading enterprises, Chain owner companies are opening up, and special policies have been introduced to encourage leading companies to build national-level AIGC innovation platforms.
At the same time, we will promote enterprise-led innovation platforms to connect R&D resources with high-level national laboratories and academies of sciences to achieve the integration of industry, academia and research, and promote the circulation and training of talents.
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