讲座题目:Multimodal Foundation and Large Language Models: Applications, Challenges, and Future Directions
报 告 人:Irwin King
Dept. of Computer Science and Engineering
The Chinese University of Hong Kong
讲座时间:2024年6月14日(星期五)下午2:00
讲座地址:正新楼三楼报告厅
Abstract:
In recent years, the field of artificial intelligence has witnessed significant advancements in multimodal foundation and large language models. This presentation will provide an exploration of these models, focusing on their applications across various domains such as science, robotics, recommender systems, and watermarking. We will discuss the current trends in multimodal models, highlighting their growing importance in understanding and processing complex information. Additionally, we will delve into the challenges faced by these models, such as scalability, trustworthiness, and explore potential future directions for the field. By examining innovative approaches to improve these challenges and considering the impact of emerging technologies, we aim to inspire further research and innovation in this rapidly evolving field.
Biography:
Professor Irwin King is a distinguished professor at the Department of Computer Science & Engineering, The Chinese University of Hong Kong. His research interests span various areas, including machine learning, social computing, AI, and data mining. Professor King has published widely in top venues and serves as an editorial board member for numerous international publishers. He is the recipient of several Test of Time Awards in premier conferences and also the Dennis Gabor Award from INNS for his work in machine learning in social computing. He is a Fellow of IEEE, INNS, AAIA, and HKIE, and an ACM Distinguished Member. Professor King has held leadership roles in prominent conferences and societies. He has served as the President of the International Neural Network Society (INNS), Vice-chair of ACM SIGWEB, and has taken on key positions, such as General Co-chair, for many premier international conferences. Additionally, he is the Director of the ELearning Innovation and Technology (ELITE) Centre and the Machine Intelligence and Social Computing (MISC) Lab. Professor King obtained his BS from Caltech and his MSc and PhD degrees in Computer Science from USC.
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