Keynote of IWAICI'22 教授学术报告

报告题目：Frontiers of Intelligence Science towards General AI and Autonomous Systems

报告时间：2022 年5 月26 日（星期四）晚19:00-21:00

报告地点：逸夫科技楼I-321（线上腾讯会议961-242-269）

报告人：王迎旭加拿大卡尔加里大学终身教授，IEEE Fellow

主办单位：智能技术与工程学院

报告人简介：

Dr. Yingxu Wang is professor of cognitive systems, brain science, software science, and intelligent mathematics. He is the founding President of International Institute of Cognitive Informatics and Cognitive Computing(I2CICC). He is FIEEE, FBCS, FI2CICC, FAAIA, and FWIF. He has held visiting professor positions at Univ. of Oxford (1995, 2018-2022), Stanford Univ. (2008, 2016), UC Berkeley (2008), MIT (2012), and distinguished visiting professor at Tsinghua Univ. (2019-2022). He received a PhD in Computer Science from the Nottingham Trent University, UK, in 1998 and has been a full professor since 1994. He is the founder and steering committee chair of IEEE Int’l Conference Series on Cognitive Informatics and Cognitive Computing (ICCI*CC) since 2002. He is founding Editor-in-Chiefs and Associate Editors of 10+ Int’l Journals and IEEE Transactions. He is Chair of IEEE SMCS TC BCS on Brain-inspired Cognitive Systems, and Co-Chair of IEEE CS TC-CLS on Computational Life Science. His basic research has been across contemporary science disciplines of intelligence, mathematics, knowledge, robotics, computer, information,brain, cognition, software, data, systems, cybernetics, neurology, and linguistics. He has published 600+ peer reviewed papers and 38 books/proceedings. He has presented 63 invited keynote speeches in international conferences. He has served as honorary, general, and program chairs for 40 international conferences. He has led 10+ international, European, and Canadian research projects as PI. He is recognized by Google Scholar as world top 1 in Software Science, top 1 in Cognitive Robots, top 8 in Autonomous Systems, top 2 in Cognitive Computing, and top 1 in Knowledge Science with an h-index 60. He is recognized by ResearchGate as among the world’stop 2.5% scholars with a remarkable readership record of 498,000+.

报告摘要：

Latest advances in Cognitive Computing (CC), and Cognitive Informatics (CI) have let to the emergence of Intelligence Science (IS) towards General AI (GAI) and Autonomous Systems (AS).Intelligence science paves a way for Autonomous Intelligence Generation (AIG) beyond classic pre-trained Neural-Network-Regression (NNR) or pre-Stored-Program-Controlled (SPC)technologies for AI. The AIG theory enables the implementation of brain-inspired cognitive intelligence from machine learning to machine thinking and inferences in order to address the constraints and challenges to classical imperative SPC intelligence and reflexive NNR intelligence

towards human-like autonomous intelligence.This keynote lecture presents the theoretical framework of IS and the emerging technology for autonomous machine intelligence generation underpinned by contemporary IS, Intelligent Mathematics (IM) and Brain-Inspired Systems (BIS). A set of disruptive technologies in IS triggered by the AIG theory and IM will be presented encompassing autonomous systems cognitive robots, real-time autonomous learning, and trustworthy systems for human-machine symbiotic applications.