" Applied Mathematics and Artificial Intelligence" famous lecture hall.
Red Net Time, Changsha, September 17 (correspondent Wang Chengqi, Liu Sheng, reporter He Weiling) On the morning of September 17, the "2021 World Computing Conference" co-sponsored by the Hunan Provincial People's Government and the Ministry of Industry and Information Technology was held at the Changsha International Conference Center, Hunan Opening. In the afternoon of the same day, the "Applied Mathematics and Artificial Intelligence" lecture hall, one of the special events of the 2021 World Computing Conference, was held. The lecture was organized by Xiangtan University and Hunan National Center for Applied Mathematics.
Mathematics is the foundation of artificial intelligence innovation and development, and it can provide original ideas and basic theories for solving the key core problems faced by the development of artificial intelligence industry. The lecture hall focuses on the development trend of integrated innovation of applied mathematics and artificial intelligence, and invites well-known experts such as domestic and foreign academicians to discuss the application and practice of mathematics in the field of artificial intelligence, promote the integration and innovation of mathematics and artificial intelligence, and promote the application and promotion of computing and ecological construction.
Academician of Chinese Academy of Engineering , Robot Visual Perception and Control Technology Director of National Engineering Laboratory Wang Yaonan, Academician of Royal Academy of Sciences of Canada, Chinese University of Hong Kong (Shenzhen) Vice President Luo Zhiquan, National University of Science and Technology Hu Dewen, the academic leader of control science and engineering discipline and the leader of the high-tech innovation team in Hunan Province, the dean of the School of Automation Science and Electrical Engineering, Beihang University, , the researcher of the Academy of Mathematics and Systems Science of the Chinese Academy of Sciences 吕金虎 , Huawei’s Noah’s Ark Lab Speech and Semantics Chief Scientist Liu Qun and other 5 special guest speakers, from machine vision technology, communication network technology, brain science technology, intelligent coordinated perception and control technology, pre-training language model, etc. In terms of focusing on the integration and innovation of applied mathematics and artificial intelligence,Brings you a splendid top academic feast.
Secretary of the Party Committee of Xiangtan University and Director of Hunan National Center for Applied Mathematics Huang Yunqing presided over the conference. Lu Xianhua, member of the Party Leadership Group, Deputy Director, and First Class Inspector of the Hunan Provincial Department of Science and Technology delivered a speech. Xiangtan University Party Committee Member and Vice President Yu Zuguo, as well as Xiangtan University, Central South University, National University of Defense Technology, Hunan University, Hunan Normal University, Changsha University of Science and Technology, Hunan Agricultural University Representatives of teachers and students from universities, Yuelu Mountain National University Science and Technology City, Changzhutan High-tech Zone, Economic Development Zone, and representatives of scientific research institutes, enterprises and institutions inside and outside the province attended the meeting.
In the future, artificial intelligence machine vision technology will play a more critical role in smart factories, smart cities, and smart manufacturing. Wang Yaonan pointed out in the report "Application and Development Trends of Artificial Intelligence and Machine Vision Technology" that from mechanization to intelligence, the most significant sign is that machines replace human cognition, analysis, recognition and decision-making have become the development trend, among which artificial intelligence machines The innovative development and industrial application of visual technology have become the key to promoting the transformation and upgrading of traditional manufacturing to intelligent manufacturing.
Wang Yaonan said that in the intelligent manufacturing industry, artificial intelligence uses in-depth learning techniques such as target detection and target tracking in computer vision, ranging from industrial welding, old mobile phone parts recycling products, quality inspection, and medical applications. The extraction of medical hyperspectral features to assist in rapid medical diagnosis, and unmanned operations in the military, etc., while greatly reducing labor costs, will comprehensively innovate the production methods of manufacturing and profoundly change the face of society.
my country's 5G base station technology is world-leading, but 5G network performance cannot lead. Where is the reason? Luo Zhiquan pointed out in the report "Applied Mathematics and Communication Network Technology-5G Network Performance Models and Optimization Methods" that the reason is that network performance does not only depend on equipment performance.More importantly, it is necessary to configure parameters that match the communication scenario for the device, otherwise the advanced device will not be able to exert its effectiveness.
"Once the communication scene changes, the network parameters must be re-adjusted. However, the huge number of parameter combinations poses great challenges to network performance optimization. The traditional operation mode that only relies on manual testing and experience adjustment is no longer sustainable." For this problem, mathematics comes in handy. Luo Zhiquan proposed the use of mathematical models and optimization algorithms to maximize network efficiency from an end-to-end network perspective. His team used measured data-driven multi-path statistical channel modeling technology, virtual-real fusion spectral efficiency statistical modeling technology, and large-scale network parameter joint tuning technology based on non-convex optimization to optimize the network. 4/ The actual measurement of the 5G network optimization effect has verified that the effect of edge users has increased by 15%, which has better supported the development of 5G networks of multiple operators.
Hunan National Applied Mathematics Center was approved by the Ministry of Science and Technology to be established in February 2020. It is one of the first 13 national applied mathematics centers in the country and the first national platform in the field of mathematics in Hunan Province. The center is based on Xiangtan University, and Central South University, National University of Defense Technology, Hunan University, Hunan Normal University, and Changsha University of Science and Technology are co-constructed units, which are jointly constructed by scientific research institutes and enterprises.
As an important part of the national science and technology innovation system , the center is an important base for organizing high-level applied mathematics research and applied mathematics research, cultivating mathematics talents, and conducting applied exchanges. At present, the center has identified "Big Data and Artificial Intelligence", " Mathematical Modeling and Optimization in Intelligent Navigation and Remote Sensing", "Numerical Simulation of Scientific and Engineering Problems in Intelligent Manufacturing", and "Modeling and Analysis of New Energy System for Large Power Grids" The five key directions of "Research on High-Efficiency Basic Common Algorithms" will focus on condensing, proposing, researching and solving a number of major national scientific and technological tasks, major projects, Hunan's characteristic industries and major needs for the development of enterprises.
Since 2020, the center has undertaken major projects such as 2 national key research plan projects, 1 central government-led local science and technology development fund project, and built Xiangtan Jingdong Smart City and Big Data Research Institute, spatial intelligent computing and data processing Multi-party cooperation platforms such as research centers and joint enterprises have solved a number of key technical bottlenecks in the fields of industrial applications, exploration industry, medical and health, climate prediction, unmanned driving, and medical simulation.
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