People's Daily Online, Beijing, November 7 (Reporter Zhao Zhuqing) Currently, artificial intelligence technology is profoundly changing the world and becoming a powerful engine driving economic and social innovation. What are the new trends in the development of artificial intelligence technology, and how to better enable artificial intelligence to empower the real economy? At the recently held 2024 China Automation Conference, participating academicians and experts held discussions.
"Artificial intelligence is integrating automation technology into all walks of life on a larger scale and in depth, penetrating into every corner of our lives." Zheng Nanning, academician of the Chinese Academy of Engineering, chairman of the Chinese Society of Automation, and professor of Xi'an Jiaotong University, said that embodied intelligence As an important direction in the field of artificial intelligence, strong Stimulating agents to deeply interact with the physical environment through perception, cognition and action will greatly enhance the flexibility of the automation system, making the automation system no longer limited to preset programs, but can make autonomous decisions based on changes in the environment. and action, including an understanding of human intentions and motivations for behavior. This is a new trend in the development of future industrial software—embodied software.
Gao Wen, academician of the Chinese Academy of Engineering and director of Pengcheng Laboratory, said that in the intelligent era, the scale of computing power is the core element of national competitiveness, and computing power will become a new productive force in social development. However, the advantage of computing power does not lie in the volume of computing power, but in higher computing efficiency, extensive emerging technology applications, and sound infrastructure support. Therefore, the computing power network is an inevitable trend in the development of computing power infrastructure. He proposed that China has become the leader in the world's computing power development and growth, and China's artificial intelligence needs its own large model base to carry the civilizational inheritance of Chinese corpus and Chinese history.
Yu Haibin, academician of the Chinese Academy of Engineering, vice chairman of the Chinese Society of Automation, and researcher at the Shenyang Institute of Automation, Chinese Academy of Sciences, looked forward to the prospects of "artificial intelligence-driven intelligent manufacturing." He said that the manufacturing industry is the backbone and engine of national economic development. During the critical period when the manufacturing industry is transforming from digitalization to intelligentization, it faces technical challenges such as weak innovative design capabilities, low levels of intelligent automation, and poor industrial supply chain resilience. The prospects and space for the development of intelligent manufacturing are huge. We should take advantage of massive manufacturing data to realize automation and intelligence of knowledge and business processes to meet key needs such as design and manufacturing integration, flexible manufacturing, and green manufacturing. He proposed that artificial intelligence technology must follow the development law of "from digital to physical" before it can truly become the cornerstone of new productivity.
Liu Yunhao, a professor at Tsinghua University, said that with the support of artificial intelligence, today's Internet of Things has entered a new stage, paying more attention to its empowerment, especially in the context of the booming development of the industrial Internet, the Internet of Things has gradually extended from the service consumer side to the service production side. Through the empowerment of industrial Internet systems, enterprises can gradually predict and deduce the production process in the digital world, achieving "digital first". This enables digital twin enterprises to proactively think, deduce and demonstrate before physical production, thereby better guiding the actual production process and improving production efficiency and decision-making levels. This transformation marks that the Internet of Things is moving from a pure perception level to empowering the intelligent transformation of industries.