Artificial intelligence big model, bionic intelligence, unmanned driver, low altitude technology ...... these hot cutting-edge technology and industrial deep integration will open what kind of imaginative space?On June 2, with the theme of "chasing the new by the quality, intelligent creation of the future", the 2024 National Conference on New Quality Productivity and Intelligent Industry Development was held in Beijing. and Intelligent Industry Development Conference came to an end in Beijing on June 2, under the theme of "Chasing New Quality, Creating the Future". In this science and technology event organized by the Chinese Society of Automation, Beijing Science and Technology Association, experts and scholars and industry players around the new quality of productivity, and jointly plan the new development of the intelligent industry, the new future, a scientific and technological leap to promote the future of industrial change unfolded.

Explore the frontier technology highlights

"Against the backdrop of economic globalization, informationization and the acceleration of intelligence, automation and artificial intelligence have become an important force in promoting the development of new quality productivity." Zheng Nanning, academician of the Chinese Academy of Engineering and chairman of the Chinese Society of Automation, pointed out in his speech at the conference.

Participating experts and scholars agreed that the intelligent industry is not only an important direction for future industrial development, but also provides strong technical support for the upgrading and transformation of traditional industries. Strengthening scientific and technological innovation in the field of automation, accelerating the layout and application of automation technology in the intelligent industry, and promoting the in-depth integration of scientific and technological innovation achievements with key industries is an effective way to promote the development of new quality productivity.

In the view of Zheng Qinghua, academician of the Chinese Academy of Engineering and president of Tongji University, the big model has become the pinnacle of the current artificial intelligence, and the reason why the big model is strong is that it relies on big data, big arithmetic and strong algorithms. Big models are bringing subversive changes to various fields: in the field of education, the new model of future education will break through the existing "teacher-student" dichotomy and become a "teacher-machine-student" ternary model; in the field of scientific research, the big model will bring a paradigm shift in scientific research, which will make a large number of people who need professional artificial intelligence to work in the field. In the field of scientific research, the big model brings about a paradigm shift in scientific research, making a large number of scientific experiments that require professional manual labor to be carried out, and the rapid iteration through artificial intelligence ...... AI is also empowering disciplinary innovation, empowering various traditional disciplines and specialties such as civil engineering, architecture, urban planning, transportation, and so on. "I deeply feel that the traditional disciplines old tree spitting new buds, but also for the development of artificial intelligence to provide new scenes and new application platforms, both the development of artificial intelligence itself, but also promote the transformation and upgrading of traditional disciplines."

In the field of bionic intelligence, Guo Lei, academician of the Chinese Academy of Sciences and professor of Beijing University of Aeronautics and Astronautics, introduces the theoretical and technological research framework of unmanned system bionic intelligent system in the environment of interference confrontation from the theory of estimation and control of multi-source interference system, describes the research progress of the research team in the core technology of the bionic intelligent system - bionic navigation, bionic manipulation and intelligent control systems, etc., and discusses the basic connotation and development direction of bionic intelligent technologies, such as safety, green and immunity, from the perspectives of methodology, system theory and behavior theory. "I study bird-industrial intelligence and fish-industrial intelligence." Academician Guo Lei said humorously.

Also inspired by the behavioral characteristics of birds and fish, for example, flocks of birds and fish fly and swim densely without collision, Marcos Papageorgiou, professor emeritus of the Technical University of Crete, Greece, proposes a new paradigm of vehicular traffic in the era of intelligent networked and automated vehicles from the principles of lane-line-free traffic and vehicle nudging, as well as optimal path planning for individual vehicles and groups of vehicles, vehicle with queues for signal-free and lane-free urban intersection crossing and other related technologies.

As a typical representative of strategic emerging industries and new quality productivity, low altitude economy is a new field of competition among major economies around the world, as well as a new engine for China's economic growth and a new track for scientific and technological innovation. Wang Feiyue, Supervisor of Chinese Society of Automation and researcher of Institute of Automation, Chinese Academy of Sciences, analyzed the core elements of low-level technology and pointed out the huge potential of low-altitude technology in promoting industrial upgrading, improving economic efficiency and enhancing social governance. potential.

"Low-level economy is China's next opportunity." According to Wang Feiyue, over the past 40 years of reform and opening up, China's economy has flourished around the four words of "clothing, food, housing and transportation", and the economic takeoff in the next 40 years will start from "transportation", from new energy vehicles to intelligent driving, and then to the low-altitude economy, which can lower logistics costs. The next 40 years of economic takeoff will start from "traveling", from new energy vehicles to smart driving, to low altitude economy, to bring down logistics costs.

In the operation of the real economy, logistics cost is an important part of the enterprise cost system. According to the data released by the China Federation of Logistics and Purchasing, the ratio of China's total social logistics costs to GDP in 2023 is 14.4%, significantly higher than that of developed countries such as Europe, America and Japan. Therefore, reducing the level of logistics costs in China has broad potential and great strategic value for promoting economic growth.

Innovative application and accelerated industrial landing

"Artificial intelligence is a hot topic in the world at present, and the most real thing about artificial intelligence landing is the large model. Among the many large models including language model and visual model, the most real ones on the ground are end-to-end unmanned driving." Wang said in an interview with reporters.  

In the relatively closed application scenes of mines, parks and ports, the remote unmanned driving technology is rapidly industrialized, especially in the intelligent mining field with the development goal of "reducing people, increasing safety, improving efficiency and low carbon". At this conference, the institute of automation of the Chinese academy of sciences, China university of mining and technology (Beijing), the institute of intelligent vehicles of the martial arts institute, and the institute of intelligent vehicles of the Chinese academy of sciences, zhongkehuituo jointly released the large model of YUKON mine, which is a mark of the new era of AI. YUKON mine model has become an important part of intelligent mine infrastructure in AI era.  

Academician ge shirong, former President of China university of mining and technology (Beijing), believes that artificial intelligence + mining requires deep innovation, research on the intelligent simulation and expansion of theoretical methods and technology of miners, and gives mining robots the ability to complete complex environmental operations. 

Reporters saw at the conference, huituo "Kuangbao " MineCopilot with cartoon miners "skin" was the first AI assistant to mine employees. In the whole process of the mine, it can provide miners with "shoulder to shoulder, hand in hand" services, in the future "he" will become the intelligent mining omnipotent productivity tool.  

Chen long, CEO of zhongkehuituo, said that huituo mine is only one of the first products launched with yugong YUKON mine model as the base, and there are also generation parallel intelligent data system GenDS and mining end-to-end autonomous driving model GenAD. As well as MineGPT the mining knowledge model, these four industries' first products will help energy mining companies achieve large-scale replication of intelligent mining factories. 

 "The development of intelligent mines has entered the era of Mining 5.0. The core of this era is to realize the progress of Mining from industrial automation to knowledge automation. Complete the key four intelligent intelligent mines, including equipment intelligence, data intelligence, algorithm intelligence, process intelligence. Chen long revealed that through the development of the past decade, zhongkohutuo has made many technical breakthroughs in the mining operating system and scene engineering, while yugong model has been learning while using it from the beginning of the construction, and every interaction between users and "mine bao" can generate higher quality data for the construction of intelligent mine. Data is the cornerstone of large model training. At present, zhongkohuitou is constantly expanding the automatic driving data with a speed of 240,000 km/day, and has accumulated a total of 80,000 days of mine business log, accelerating the development of the three core technical pillars in the era of Mining5.0, injecting new quality productivity into the mine development.  

"By 2025, YUKON mine model and its infrastructure intelligent system will be fully implemented, which will enable the construction of more than 40 smart mines nationwide. By 2030, it is expected to guarantee the green, safe and efficient operation of more than 500 mines in the world." "Said Chen.  

Make Suggestions and Suggestions to discuss major plans for development 

This conference also set up 8 parallel meetings, with the aim of "firmly grasping the trend of a new round of scientific and technological revolution and industrial change, accelerating the cultivation and growth of new quality productive forces and shaping new drivers and new advantages of high-quality development". It covers many hot fields such as intelligent transportation, body intelligence, brain intelligence performance, data elements, enterprise intelligence transformation, artificial intelligence education, intelligent medicine and other hot fields, Many academicians and experts and scholars from academia and industry have Shared the latest research results in their respective fields, conducted in-depth discussions on common topics and hot and difficult points, and actively proposed Suggestions and Suggestions to discuss the development of new quality productivity and intelligent industry.  

In view of the potential risks of artificial intelligence, zheng qinghua pointed out that the large model also relies on some patterns in the training data, which leads to "illusion", excessive consumption of data and computing force, catastrophic neglect in the new task training, and weak logical reasoning ability of the black box model. To this end, member zheng qinghua suggested to explore the establishment of China's independent and controllable machine intelligent model, and put forward the "neural + symbol" collaborative mode, and create the brain memory inspired machine memory intelligent model and other technical routes.  

In the field of low-level science and technology and smart economy, wang pointed out the challenges brought by technological progress, such as regulation formulation, privacy protection and security issues, etc., and called on the government, enterprises and the public to work together to establish cooperation mechanisms to ensure the healthy development of low-altitude science and technology and to provide a solid foundation for the construction of smart economy.  

Source: economic reference