세미나/포럼
[세미나/포럼] [2023.11.14(화)] AI Convergence Network & Artificial Intelligence Colloquium 개최 안내
- 세미나/포럼
- 교내
- 김성민
- 2023-11-08
< AI Convergence Network & Artificial Intelligence Colloquium >
▶ When : 2023년 11월 14일(화), 오후 3시
▶ Where : 온라인(Zoom)
https://ajou-ac-kr.zoom.us/j/84956154484?pwd=eGRuRFRZZzlJWTdQYmU1U0J1WEhJUT09
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.
▶ Host : 소프트웨어학과 노병희 교수(bhroh@ajou.ac.kr)