Recently, intelligent computing centers have been built and put into operation in many places such as Harbin, and artificial intelligence products in the fields of electricity, oil and gas have appeared intensively. Behind this series of actions is the comprehensive "AI+Special Action" launched by central enterprises, accelerating the exploration of deep application of artificial intelligence to rich and diverse production scenarios. It is reported that relevant departments will further implement precise policies, strengthen the supply of policies in new fields and new tracks, support enterprises to increase innovation efforts in key core technologies and cutting-edge fields, and accelerate the development of the artificial intelligence industry driven by application demonstrations. Entering the North Open pit Coal Mine of State Power Investment Corporation Inner Mongolia Company, one can see several self dumping mining trucks shuttling through the coal sea, carrying out soil and rock transportation work in an orderly manner. It is hard to imagine that these 172 ton behemoths belong to unmanned operation. For open-pit mines, the safety risks in transportation are relatively high. We have carried out unmanned transformation on five 172 ton self dumping mining trucks. Based on more than two years of testing, the efficiency of unmanned driving can reach about 70% of that of manned driving, and more importantly, it reduces potential problems such as human accidents North open-pit coal mine manager He Xigtu told Economic Reference Daily reporters that he plans to invest another 20 unmanned self dumping mining trucks this year and achieve unmanned transportation vehicles by the following year. At the same time, the unmanned transformation of mining, excavation, blasting and other processes is also being promoted, and the North Open pit Coal Mine will build the first unmanned mine in the country. Artificial intelligence is an important driving force for the new round of technological revolution and industrial transformation. The Third Plenary Session of the 20th Central Committee of the Communist Party of China made important arrangements for developing new generation information technology and transforming and upgrading traditional industries with digital technology. Since the beginning of this year, the State owned Assets Supervision and Administration Commission (SASAC) has repeatedly emphasized the importance of artificial intelligence and encouraged state-owned enterprises to take the lead in accelerating their layout, launching the "AI+" special action, and simultaneously making efforts in areas such as computing power, data, big models, and scenario applications. Data shows that as of the end of June, the scale of intelligent computing power of central enterprises has doubled year-on-year. Ten thousand card clusters have been built in Shanghai, Hohhot and other places, and the computing power platform has initially achieved diversified heterogeneous computing power scheduling, effectively supporting the training iteration of general large models with a scale of billions or more, and gradually improving its independent and controllable capabilities. While consolidating the foundation, multiple state-owned and central enterprises have strengthened cooperation with private enterprises, universities, and institutions to explore the deep application of artificial intelligence in a variety of production scenarios. Large scale model applications have been initially achieved in fields such as electricity, transportation, and petrochemicals. At the ongoing 2024 International Digital Energy Exhibition, China Southern Power Grid Corporation's participation in the virtual power plant regulation and management cloud platform 3.0 was released, and multiple achievements such as China's independently developed new generation pumped storage artificial intelligence data analysis platform "Storage 1000D" were also unveiled simultaneously. China Petroleum, in close collaboration with China Mobile, Huawei, iFlytek, and others, has recently released a 33 billion parameter Kunlun model, trained 8 models, and developed 18 application scenarios. The deep application of AI technology can significantly improve the production efficiency and product quality of traditional industries Zhou Lisha, the research director of the China Modern State owned Enterprise Research Institute at Tsinghua University, stated that central enterprises have significant advantages in technological innovation and application scenarios. Through the "AI+Special Action", more innovative resources and talents can be attracted to converge in the AI field, forming a deep integration of industry, academia, research and application in the innovation ecosystem, and accelerating the transformation and application of scientific and technological achievements. However, the promotion of AI empowerment in various industries by state-owned and state-owned enterprises still faces challenges in terms of technology, data, and application implementation. The reporter's interview found that there is still a certain gap between domestic enterprises and international advanced levels in certain key technological fields. At the same time, the complexity and diversity of some current application scenarios pose challenges to the application of AI technology, with some traditional industries investing heavily in intelligent transformation and low enterprise enthusiasm. Zhang Yuzhuo, Secretary of the Party Committee and Director of the State owned Assets Supervision and Administration Commission of the State Council, recently stated during a survey that the commission will further implement precise policies, strengthen the supply of policies in new fields and new tracks, support enterprises to increase innovation efforts in key core technologies and cutting-edge fields, promote industrial innovation through computer network innovation and digital intelligence innovation, and shape new development advantages. It is understood that the State owned Assets Supervision and Administration Commission will accelerate the promotion of using application demonstrations to drive the development of the artificial intelligence industry. One is to deeply explore high-value scenarios and fully open them up, carry out supply-demand collaborative cooperation, and form a number of industry application demonstration benchmarks. The second is to explore the standard system and construction path of high-quality datasets, and to build high-quality datasets for key industries in batches. Thirdly, we will orderly promote the construction of intelligent computing centers and computing power dispatch and operation platforms, strengthen the supply of intelligent computing capabilities, and better serve small and medium-sized enterprises. The fourth is to closely focus on the forefront and enhance the ability of basic big models, improve the big model evaluation system, explore the establishment of a group of industrial development communities, and accelerate the promotion of external empowerment. Zhou Lisha suggested encouraging and supporting enterprises to participate in major national science and technology projects, formulating and improving special support policies for the AI industry, and reducing the research and application costs of enterprises. At the same time, we will increase efforts to cultivate and introduce talents in the field of AI, encourage enterprises to establish talent incentive mechanisms, and attract and retain outstanding talents. (New Society)