2024 International Conference on New Trends in Computational Intelligence

From 18-20 October, 2024 International Conference on New Trends in Computational Intelligence was held in Qingdao. More than 140 experts and scholars from more than 40 universities and research institutes in China, India, Canada, Singapore and other countries and regions gathered to discuss the latest advances and future trends in the fields of computational intelligence and artificial intelligence, such as neural networks, machine learning, fuzzy systems and evolutionary computation.

At the opening ceremony, Dai Caili, Vice President of China University of Petroleum (East China), and Professor Nikhil R. Pal, member of the Indian National Academy of Engineering, member of the Academy of Sciences, and member of the Academy of Sciences for the Developing World, attended the conference and delivered speeches.

Dai Caili expressed a warm welcome to all experts and scholars to attend the conference and exchange ideas in Qingdao, she said that this conference provides a communication platform for researchers and experts and scholars in related fields to exchange and show the latest progress, and expected that the participants will enhance consensus and deepen cooperation through the collision of ideas and exchange of wisdom, and work together to promote the scientific and healthy development of AI-related fields.

‘The development of AI today faces complex and unsustainable dilemmas, and the International Conference on New Trends in Computational Intelligence gathers a large number of young researchers whose new ideas and concepts can promote a more positive development of AI.’ Prof Nikhil R. Pal said in his speech.

At present, a new round of scientific and technological revolution and industrial change is breeding and emerging, the information technology revolution is strongly impacting the traditional disciplines and traditional industries, and artificial intelligence has become a hot research area of common concern in academia, industry and application industry.

This year's conference invites nine renowned experts in the field of computational intelligence to give the keynote report of the conference.

Professor Wang Jun, Academician of the European Academy of Sciences and City University of Hong Kong, proposed a new collaborative neurodynamics optimisation framework, which employs multiple neurodynamics optimisation models with different initial states to perform decentralised search, and can be effectively applied to machine learning and model predictive control.

Professor Yongduan Song, Academician of the International Eurasian Academy of Sciences and Chongqing University, provides insights into adaptive control mechanisms in brain-inspired systems, innovatively combining and applying the flexibility, robustness and efficiency of neural networks to enhance control systems in fields such as autonomous systems and robotics.

Professor Yew-soon Ong, Chief AI Scientist of Singapore's Agency for Science, Technology and Research (ASTAR) and Nanyang Technological University (NTU), pointed out in his presentation that AI encounters many repetitive or similar problems in its operation, and that the clever use of migration and multitasking optimisation can lead to the development of advanced optimisers capable of replicating human cognitive abilities for generative AI and macrolanguage modelling applications.

Professor Ting-Wen Huang, Member of the European Academy of Sciences and Arts, Member of the Academy of Sciences for the Developing World, Texas A&M University at Qatar, USA, presented two optimisation algorithms for AI, the proposed reinforcement learning algorithm to find the optimal solution to the energy trading problem of microgrids, and the optimisation algorithm based on distributed asynchronous broadcasting to be able to deal with constrained optimisation in the case of unbalanced directed networks.

Professor Witold Pedrycz, Member of the Royal Canadian Academy of Sciences and University of Alberta, Canada, effectively brings knowledge data into the design and analysis of machine learning, advocating the need for a coherent and unified framework to deal with data and knowledge in the learning process to avoid the effects of enhanced data blindness.

Professor Kay Chen Tan, Vice President of IEEE Computational Intelligence Society, Fellow of IEEE, and Professor of The Hong Kong Polytechnic University, discussed the development trajectory and inherent characteristics of large language models, and pointed out that it is important to incorporate large language models into evolutionary computation frameworks to cope with different optimisation problems, in order to improve the efficiency and effectiveness in solving complex problems, and to reduce the potential risks.

Prof Wu Dongrui, IEEE Fellow, National Overseas Young High-Level Talent, Huazhong University of Science and Technology, shared his thoughts on brain-computer interfaces, stating that privacy is very important for the wide application of brain-computer interfaces and introducing machine learning algorithms to protect the privacy of brain-computer interfaces.

Professor Huang Deshuang, a foreign member of the Russian Academy of Engineering and a professor of Ningbo Dongfang University of Science and Technology, introduced biological sequence prediction by combining the emerging technology of ‘deep neural network’ system, and discussed the shortcomings and solutions of biological sequence prediction based on deep learning features.

The conference will also enhance academic exchanges between China and other countries and regions in the field of computational intelligence by setting up 47 group reports, displaying 40 academic wall papers, organising the ‘Optimal Scheduling and Decision Making Forum’, and selecting the ‘Shandong Province Computational Intelligence Youth Science and Technology Prize’ and other exchange activities. The conference will be held at the end of this year.

In this conference, top researchers and practitioners in the field of Computational Intelligence will carry out academic exchanges and innovative discussions on the latest scientific and technological achievements and development trends in evolutionary computation, fuzzy systems, control systems, and large language models, etc., and promote the research of cutting-edge issues in the field of AI, which will improve the ability of traditional engineering majors to adapt to the changes in information technology and industry, and promote the cross-disciplinary integration of disciplines.’ interdisciplinary cross and integration of disciplines.’ Professor Jian Wang, co-chair of the conference and director of the Joint Laboratory of Cross-Media Big Data in the College of Science, said.

This year's conference is hosted by China University of Petroleum (East China) and Shandong Province Artificial Intelligence Society, with technical support from IEEE Computational Intelligence Society, and co-organised by Dalian University of Technology, Ocean University of China, Shandong Province Artificial Intelligence Society Special Committee on Computational Intelligence, and Shandong Province Artificial Intelligence Society Special Committee on Optimal Scheduling and Decision Making.

A number of mainstream media outlets, including Xinhua, People's Daily, China Science and Technology Network, Science and Technology Daily, Phoenix, Qilu, Guanhai News, and CreateSunNews.com, have paid attention to and reported on the conference.

International Conference on New Trends in Computational Intelligence has been held for six times so far, with academicians in the field of computational intelligence from the United States, the United Kingdom, India, Australia, Turkey, Belarus, Russia, South Africa, Romania, Poland and other countries in the world, and top experts of the International Institute of Electrical and Electronic Engineers (IEEE Fellow) making invited reports, which have been highly concerned by the researchers in the field of computational intelligence, and have become an important influence in the international field of computational intelligence. It has become an influential platform in the field of international computational intelligence.