Title: Future AI: Bridge the Gap between Machine Intelligence and Human Intelligence
Abstract: Although we have witnessed amazing progress in deep learning, there are many fundamental questions related to deep learning that remain to be answered. In particular, even though deep learning framework is inspired by how human brains process information, a significant gap needs to fill out between machine intelligence empowered by deep learning and human intelligence. In this talk, we first examine the main limitations of deep learning in comparison with human intelligence, including a large gap in sample complexity, limited abilities in exploring knowledge and logic for effective inference, and large difference in information processing and network structure. We then present recent progress in these dimensions that may shed lights on how to bridge the gap between human intelligence and machine intelligence.
Bio: Rong Jin is currently an associate director of DAMO academy at Alibaba, leading the research and development of state-of-the-art AI technologies. Before joining Alibaba, he was a faculty member of the Computer and Science Engineering Dept. at Michigan State University from 2003 to 2015. His research is focused on statistical machine learning and its application to large-scale data analysis. He published over 300 technique papers, mostly on the top conferences and prestigious journals. He is an associate editor of IEEE Transaction at Pattern Analysis and Machine Intelligence (TPAMI) and ACM Transaction at Knowledge Discovery from Data. Dr. Jin holds Ph.D. in Computer Science from Carnegie Mellon University. He received the NSF career award in 2006.