报告题目: |
自动控制理论在因特网和认知机器中的关键作用 |
报告人: |
龚维博 |
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报告时间: |
2014-12-19 09:50 |
报告地点: |
清华大学六教6A116教室 |
主办单位: |
清华大学自动化系智网中心 |
简介: |
报告人简介
Weibo Gong received his Ph.D. in Engineering Sciences from the Division of Applied Sciences at Harvard University in 1987, and since has been with the Department of Electrical and Computer Engineering at University of Massachusetts, Amherst. He is now a full professor of Electrical and Computer Engineering and an adjunct professor of the Department of Computer Science at the same campus. Dr. Gong has received the IEEE Control Systems Society George Axelby outstanding paper award in 1997, University of Massachusetts Amherst Engineering College outstanding senior faculty award in 2002, and the University of Massachusetts Amherst Chancellor's medal in 2009. He is an IEEE Fellow since 1998. Dr. Gong is active in IEEE control systems society. He is the Program Chair for the 2004 IEEE Conference on Decision and Control. Dr. Gong's research interests include network modeling and control, stochastic dynamic systems, communication security, and the foundational algorithms for intelligence.
报告简介
The concept of feedback control is fundamental to many fields. In this talk we discuss two important examples. The first is congestion control for the Internet traffic, where our works in the early 2000 has now been adopted by the cable modem standard DOCSIS 3.1 via the Cisco engineers. There is also an effort on to make it the default AQM on all Internet routers, not just cable modems.
The second, more important for the coming technology revolution, is our newly developed theory of how the mind works. Our algorithms are fundamentally different from the current AI approaches, provide plausible answers for several mysteries of mind, and are feasible for computer implementations.
欢迎广大师生前往参加！
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