|
|
[2023.11.14(화)] AI Convergence Network Colloquium & Artificial Intelligence개최 안내
|
|
- Writer 관리자
- Date 2023-11-08 10:05:51
- Hit 164
|
|
|
| |
대학원 인공지능학과 & AI융합네트워크학과에서는 AI Convergence Network Colloquium & Artificial Intelligence을
11월 14일(화) 오후 3시에 개최하오니 많은 참여 부탁드립니다.
 When : 2023년 11월 14일(화), 오후 3시
Where : 온라인(Zoom)
회의 ID: 849 5615 4484, 암호: 3647
Speaker : 김중헌 교수(고려대학교)
Title : Quantum Neural Network Theory and Applications
Abstract : This presentation covers the introduction to quantum machine learning (QML), quantum neural networks (QNN), quantum reinforcement learning (QRL), and their applications to autonomous mobility and distributed computing problems. Firstly, the major concepts of QML, QNN, and QRL will be introduced and discussed. Based on the foundations, this presentation will discuss about the challenges, advantages, and limitations. After that, the major applications of the QML, QNN, and QRL, will be introduced. Lastly, future research directions will be provided and discussed.
Bio : Joongheon Kim has been with Korea University, Seoul, Korea, since September 2019, and he is currently an associate professor at the School of Electrical Engineering. He received the B.S. and M.S. in computer science and engineering from Korea University, Seoul, Korea, in 2004 and 2006; and the Ph.D. in computer science from the University of Southern California (USC) (Viterbi School of Engineering), Los Angeles, CA, USA, in 2014. Before joining Korea University, he was a research engineer at LG Electronics, Seoul, Korea, from 2006 to 2009; an intern at InterDigital, San Diego, CA, USA, in 2012; a systems engineer at Intel Corporation, Santa Clara in Silicon Valley, CA, USA, from 2013 to 2016; and an assistant professor at Chung-Ang University, Seoul, Korea, from 2016 to 2019.
|
|
|
|
List
|
