About this Event
25 Park Place, Atlanta, GA
Connecting Network and Brain with Big Data: A Brain Informatics Based Systematic Approach
Dr. Ning Zhong
Department of Life Science and Informatics
Maebashi Institute of Technology
Japan
A network, in particular the Wisdom Web of Things (W2T) developed recently, provides a cyber-physical-social space for all human communications and activities, in which big data are used as a bridge to connect relevant aspects of humans, computers, and things. It is a trend to integrate brain big data and human behavior big data with knowledge graphs in the cyber-physical-social space for realizing the harmonious symbiosis of humans, computers and things. In this talk, I demonstrate a brain-informatics-based systematic approach to an integrated understanding of brain-machine intelligence in the connected world. I discuss research issues and challenges with respect to brain big data computing, including how to understand the brain from neural microcircuits to macroscale intelligence systems, supported by connecting network and brain with big data, and how to realize human-level collective intelligence as a big data sharing mind — a harmonized collectivity of consciousness on the W2T by developing brain-inspired intelligent technologies to provide wisdom services.
About the Speaker: Ning Zhong received the Ph.D. degree from the University of Tokyo. He is currently head of the Knowledge Information Systems Laboratory and a professor in the Department of Life Science and Informatics at Maebashi Institute of Technology, Japan. He is also director and an adjunct professor in the International WIC Institute (WICI), and a principal investigator in the Brain Informatics and Wisdom Service group at the Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology. Currently, Dr. Zhong is focusing on "Web Intelligence (WI) meets Brain Informatics (BI)" research and brain big data computing. The synergy between WI and BI advances our ways of analyzing and understanding data, information, knowledge, and wisdom, as well as their interrelationships, organizations, and creation processes, to achieve human-level Web intelligence (AI in the connected world) reality. Such interdisciplinary studies make up the field of brain informatics and its applications in brain big data computing, health studies, smart-city, and brain-inspired intelligent systems, among others.
Dr. Zhong is the founding editor-in-chief of the Web Intelligence journal (IOS Press), the editor-in-chief of the Brain Informatics journal (Springer Nature), the editor-in-chief of the Brain Informatics & Health (BIH) book series (Springer Nature), and serves as associate editor/editorial board member for several international journals and book series. Dr. Zhong is the co-founder and co-chair of the Web Intelligence Consortium (WIC), chair of the IEEE Computational Intelligence Society Task Force on Brain Informatics, co-founder and steering committee co-chair of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), and co-founder and steering committee co-chair of the International Conference on Brain Informatics (BI).