On May 8th, the inaugurating ceremony and frontier forum of “Discipline Innovation and Overseas Expertise Introduction Base of Computational Intelligence and Intelligent Control” were held. Many well-known experts and scholars from home and abroad participated in the activity.
Focusing on computational intelligence and data science, visual perception and understanding, unmanned system formation and coordination technology of intelligent robot, this forum conducted in-depth discussions and exchanges on neural network algorithm, self-learning intelligent control, swarm intelligence algorithm, multi-objective optimization and brain-computer interface.
Academician Feng Qian from East China University of Science and Technology presented a report titled “Intelligence of Manufacturing System in Process Industry-Deep Integration of Artificial Intelligence and Process Manufacturing”. In his report, Academician Qian pointed out the problems in China’s process industry, including the serious structural surplus of some products, insufficient high-end manufacturing and low utilization of resources and energy. Then he analyzed the necessity of transformation and upgrading of China’s process industry. Moreover, he proposed that the main research contents and key technologies of current process industry manufacturing system intellectualization based on the demand and application, and gave an example of industrial application.
Prof. Jun Luo from Shanghai University presented a report titled “Intelligent Control and Application of Marine Unmanned System”. This report pointed out that the unmanned marine system represented by UAV is not only an effectively scientific means to solve the incomplete chart sequence and complex marine environment monitoring problems in offshore islands and reefs, but also an important marine equipment to enhance marine military equipment capability of our country, safeguard China’s marine rights and interests, and deal with the situation of hot sea areas such as the China South Sea. The core of the marine unmanned system is navigation and intelligent control system, including precise course tracking, navigation and control, obstacle avoidance, marine environment brain cognitive framework and task load control technology.
Prof. Qingyuan Li from South China University of Technology gave a report titled “Brain-computer Interaction and its Clinical Application”. Prof. Li first introduced various multimodal brain-computer interactions based on two basic questions in the research of the brain-computer interface-the improvement of target detection performance and the realization of multidimensional control, including brain-computer interface based on SSVEP and P300, audiovisual brain-computer interface and brain-computer interface based on P300 and motor imagery. Then Prof. Li introduced the clinical application of these brain-computer interfaces in consciousness detection of patients with consciousness disorder and brain control system of patients with high paraplegia.
Prof. Kaushik Roy gave a report titled “Re-Engineering Computing with Neuro-Inspired Learning: Devices, Circuits, and Systems”. Prof. Roy showed their work on the structure of spin electric devices, which consisted mainly of devices used to simulate neurons and synapses. He also discussed the implementation of nerve operation and on-chip learning mechanisms with different biological fidelity. Besides, he proposed a probabilistic synaptic computing platform using the potential random physical properties of spin devices induced by white noise.
Prof. Xinghuo Yu from Royal Melbourne Institute of Technology, Australia presented a report titled “Complex Network Systems: A Computational Intelligence Perspective”. After introducing the basic knowledge of complex network system and computational intelligence, Prof. Yu proposed that the application of computational intelligence mechanism in complex network system would be helpful to solve major large-scale complex industrial problems. Then he discussed potential breakthrough approaches in dealing with large and complex network systems. Finally, he summarized the key technologies and challenges in this field.
Prof. Donald C. Wunsch from Missouri University of Science and Technology, America gave a report titled “Computational Intelligence in Multi-Agent Systems”. He introduced the applications of computational intelligence in multi-agent systems, such as automated negotiation. Prof. Wunsch pointed out that although computational intelligence had made great progress in this field, it still had great prospects for development. Some new methods and tools were being discussed and developed.
Prof. Hao Yan from Arizona State University, America presented a report titled “Designer DNA Architectures for Programmable Self-assembly”. He pointed out that the core task of nanotechnology was to control movement and organize substances at nano-level. Then he introduced how DNA could be used as an information-coding polymer to program and construct DNA nanostructures with complex geometric features. At last, he discussed that the designer DNA can be used as molecular sensors, drivers and scaffolds.
