[Seminar] SCAI Lunch Talk #4 - Overcoming Limitations of Deep Learning
Samsung Research AI Center, Texas A&M University (Professor)
호스트: 장병탁, 강유 교수
참고: 12시 20분부터 참석자에게 간단한 점심식사(버거 또는 샌드위치) 제공합니다(선착순 100명). 세미나는 12시 30분에 시작합니다.
Deep learning has revolutionized the field of artificial intelligence. However, there are several limitations, some that are practical and some that are more fundamental. In this seminar, I will briefly discuss practical limitations of deep learning such as catastrophic forgetting, need for massive amounts of data, etc., and move on to talk about more fundamental issues that are inspired by brain science such as the source of meaning in the brain, prediction and consciousness, and the concept of extended mind.
Yoonsuck Choe is a Corporate Vice President at Samsung Research Artificial Intelligence Center (2017-present), and a Professor and Director of the Brain Networks Laboratory at Texas A&M University (2001-present). He received his Ph.D. degree in computer science from the University of Texas at Austin in 2001, and his B.S. degree in computer science from Yonsei University in 1993. His research interests are in neural networks and computational neuroscience, and he published over 100 papers on these topics, including a research monograph on computations in the visual cortex. He served as program chair and general chair for IJCNN (2015 and 2017, respectively), and served on the editorial board of the INNS journal Neural Networks.