2023-06-18
浏览次数：425Title: Neural Network: From McCulloch and Pitts model to Deep learning
Prof. Tommy W. S. Chow (周偉誠)
Professor, Department of Electrical Engineering
City University of Hong Kong, Hong Kong, China
Abstract: McCulloch and Pitts in 1943 derived the first mathematical model for human brain neuron. Since then neural computing has undergone different ups and downs. It was only until the late nineties that the conceptual and engineering breakthrough on Deep Learning by Bengio, Hinton, and LeCun has reshaped the machine learning and AI technologies completely. In 2018 ACM named Bengio, Hinton, and LeCun the recipients of ACM Turing award. Machine learning and AI is no longer a research topic restricted in laboratory and proposals. It is transforming every walk of human life from science and engineering to business. This talk will brief the evolution of neural network and machine learning technologies along the timeline.
Biography:Tommy W. S. Chow (Fellow, IEEE) received the B.Sc. (1st Hons) degree and the Ph.D. degree from on Electrical and Electronic Engineering on 1984 and 1988 in the U.K. He is currently a Professor in the Department of Electrical Engineering at the City University of Hong Kong. His main research areas include Neural Network, machine learning, fault diagnosis and texts analysis. He is an author and co-author of over 260 international technical Journal articles related to his research, 5 book chapters and 1 book. Chow was the Chairman of Control Instrumentation and Automation Division, Hong Kong Institution of Engineers (1997-1998). He was the Guest Editor of Neural Computing & Applications on the 2010 Special Issue on “The Emerging Applications of Neural Networks.” He received the Best Paper Award in 2002 IEEE Industrial Electronics Society Annual meeting in Seville, Spain. He is currently an Associate Editor of the IEEE Transactions on Neural Networks & Learning System, IEEE Transactions on Industrial Informatics, and Neural Processing Letters. His works have received a citation of over 10,500 under Google Scholar.
2023年6月21日（周三）15:00-15:30
逸夫人文馆报告厅, 华南理工大学五山校区