ChineseCSCW2017

Cooperation

主办单位
承办单位

协同计算专委会(CCF TCCC)

重庆市计算机学会

 

Brain Big Data Based Wisdom Service 

A Brain Informatics Based Systematic Approach   

Ning Zhong

Department of Life Science and Informatics, Maebashi Institute of Technology, Japan

    In this talk, I demonstrate a Brain Informatics based systematic approach to an integrated understanding of macroscopic and microscopic level working principles of the brain by means of experimental, computational, and cognitive neuroscience studies, as well as utilizing advanced Web intelligence centric information technologies. I discuss research issues and challenges with respect to brain computing from three aspects of Brain Informatics studies that deserve closer attention: systematic investigations for complex brain science problems, new information technologies for supporting systematic brain science studies, and Brain Informatics studies based on Web intelligence (AI on the Internet) research needs. These three aspects offer different ways to study traditional cognitive science, neuroscience, brain and mental health, and artificial intelligence.

    About the Speaker: Ning Zhong (http://maebashi-it.org/~zhong) received the Ph.D. degree from the University of Tokyo. He is currently head of Knowledge Information Systems Laboratory, and a professor in 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), a principle investigator of Brain Informatics Based Wisdom Service group at Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology. Dr. Zhong's present research interests include Web Intelligence (WI), Brain Informatics (BI), Data Mining, Granular Computing, and Intelligent Information Systems. In 2000 and 2004, Zhong and colleagues introduced WI and BI as new research directions, respectively. Currently, he is focusing on "WI meets BI" research and brain big data computing with three aspects: (1) systematic investigations for complex brain science problems; (2) BI studies based on WI research needs; and (3) new information technologies for supporting systematic brain science studies. The synergy between WI and BI advances our ways of analyzing and understanding of data, information, knowledge, wisdom, as well as their interrelationships, organizations, and creation processes, to achieve human-level Web intelligence reality. In 2010, Dr. Zhong and colleagues extended such a vision to develop Wisdom Web of Things (W2T) as a holistic framework for computing and intelligence in the big data era. Recently Dr. Zhong and his research group are working on brain big data based wisdom service project, in which the fundamental issues include how brain informatics based big data interacts in the social-cyber-physical space of the W2T and how to realize human-level collective intelligence as a big data sharing mind, a harmonized collectivity of consciousness on the W2T that uses brain-inspired intelligent technologies to provide wisdom services. Such interdisciplinary studies make up the field of brain informatics and its applications in brain computing, health studies, ICT for smart-city, brain-inspired intelligent systems among others.

Dr. Zhong is the founding editor-in-chief of Web Intelligence journal (IOS Press), the editor-in-chief of Brain Informatics journal (Springer Nature), the editor-in-chief of Brain Informatics & Health (BIH) book series (Springer Nature), and serves as associate editor/editorial board for several international journals and book series. Dr. Zhong is the co-founder and co-chair of Web Intelligence Consortium (WIC), chair of the IEEE Computational Intelligence Society Task Force on Brain Informatics, co-founder and steering committee co-chair of IEEE/WIC/ACM international conference on Web Intelligence (WI), and co-founder and steering committee co-chair of international conference on Brain Informatics (BI). 

目: 信息智慧服务

摘要:信息学(Brain Informatics)是一个新的交叉学科着力于人的信息加工机制的研究。通精心设计反映人脑信息加工过程不同时刻、不同侧面的系列化认知实验,综合应用功能核磁共振成像、脑电、眼动以及各种可穿戴的、可携的、微米设备等计测手段,以及多模态的脑认知大数据融合挖掘技术,系统化地研究人脑的认知过程,全面理解人脑的信息表征、信息处理及其神经机制,用以启发新的智能信息技术和应用研发信息学正汇聚多个域的家学者,共同探讨融合脑科学和智能信息技术的前沿交叉研究。本次宁教授将展示一个从宏观到的信息加工机制以及神经基础展开研究的信息学系化方法学。方法学将实验算相知神科学、信息科学的各种先和技(特是以网络人工智能: Web Intelligence (WI)核心的智能信息技)以深入地理解人智能。系化的信息学方法学生了包括各种原始数据、数据相关的信息、提取的数据特征、与人智能相关的基础领域知等在内的大数据。座将从以下三个方面来讨论基于脑信息学系化方法学的脑大数据算的研究课题和面的挑:系化的研究复杂脑科学问题、支撑系科学研究的新的信息技、基于WI需要的信息学研究。通过三个方面的讨论,将展示一个与传统知科学、神科学、人工智能不同的脑信息学方法学信息学和网络人工智能的交叉融合研究将创出基于大数据信息智慧服务研发基于脑认知大数据的智慧服务平台、受脑认知的智能信息系统,以及脑与精神健康智慧服务示范,推动形成以脑认知研究带动脑智能应用的创新生态链。

告人宁教授,日本京大学博士任日本前大学研究生院及生命信息系教授,知信息系研究室主任,北京市特聘 (海聚工程特聘教授),北京工大学国WIC研究院院,博士生导师信息智慧服北京市国科技合作基地主任,磁共振成像信息学北京市重点实验室副主任,北京未来网络科技高精尖创新中心脑信息智慧服务团队首席科学家国际WIC协会 (WIC: Web Intelligence Consortium) 的创办人并任主席、IEEE计算智能学会脑信息学任务组 (IEEE TF-BI) 主席、《Web Intelligence》 (IOS Press) 国际学术期刊创刊主编和《Brain Informatics》(Springer Nature) 国际学术期刊创刊人并任主编、《Brain Informatics and Health》(Springer Nature) 丛书系列创刊人并任主编国际学术会议IEEE/WIC/ACM International Conference on Web Intelligence (WI)的发起人并任指导委员会主席。国际学术会议International Conference on Brain Informatics (BI)的发起人并任指导委员会主席。主要研究趣包括人工智能、网络人工智能: Web Intelligence (WI)信息学、知识发现与数据挖掘、粒算等。分2000年和2004年与合作伙伴共同提出网络人工智能: Web Intelligence (WI)信息学(Brain Informatics)两个全新的研究方向,在网络人工智能和信息学研究具有开作用和领导地位。2010年与合作伙伴提出了智慧物: Wisdom Web of Thing (W2T)大数据时代的网络智能科学与技术。