Distinguished Lecture Series

Upcoming lectures

Jong-Hwan Kim, KT Endowed Chair Professor, College of Engineering, KAIST, FIEEE

Jong-Hwan Kim Title: Machine intelligence based on intelligence operating architecture

Date: September 23, 2021

Time: 10:00am

Registration details to come.

Abstract

This talk introduces recent research outcomes of the Robot Intelligence Technology Laboratory (RITL) on MIL (Machine Intelligence Learning) for active knowledge acquisition and adaptive knowledge application. MIL has been applied to an agent-embedded robot, Mybot develop in the RITL, to build Machine Intelligence (MI) based on intelligence Operating Architecture (iOA). For natural interactions with users, Mybot employs imaginary keyboard (I-Keyboard), hand gesture recognition using a short-range radar sensor, and an air writing system, Air-Text three all for interface, CNN-DM (Developmental Memory) for continual learning for object recognition, Face-OICRN for online face registraton and recognition, WS-DNN (Word Similarity-DNN) and 3D Scene Graph both as semantic memory, SimVODIS for Simultaneous Visual Odometry, Object Detection, and Instance Segmentation, FSHMN (Full Sentence VQA Highway Memory Network) for VQA, EM-DRN (Episodic Memory-Developmental Resonance Network) as a long-term episodic memory, EM-DRN-Map for recommendation, e.g., the recipes of dishes. SF (Stabilized Feedback)-EM is developed for IoT-based Mybot as well. For temporal and spatiotemporal anomaly detections, RRN (Recurrent Reconstruction Network) and CRRN (Convolutional RRN) are introduced, respectively, and for multi-label classification, MarsNet and D³PointNet are also introduced. Lastly, a brand new world event, AI World Cup (http://aiworldcup.org) is introduced, which has three categories, AI Soccer, AI Commentator, and AI Journalist.

Biography

Jong-Hwan Kim received his PhD degree in electronics engineering from Seoul National University, Korea, in 1987. Since 1988, he has been with the School of Electrical Engineering at KAIST and is a KT Endowed Chair Professor. Dr. Kim is Director of both the KohYoung-KAIST AI Joint Research Center and Machine Intelligence and Robotics Multi-Sponsored Research and Education Platform (MSREP). His research interests include Intelligence Technology (InT), machine intelligence learning, and AI robots. Dr. Kim has delivered over 200 invited talks on machine intelligence and robotics including over 50 keynote speeches at international conferences.

He served as an Associate Editor for the IEEE T. on Evolutionary Computation for 1997-2015 and the IEEE Computational Intelligence Magazine for 2008-2015. Dr. Kim was one of the co-founders of the International Conference on Simulated Evolution and Learning in 1996 and International Conference on Robot Intelligence Technology and Applications (RiTA) in 2012. His name was included in the Barons 500 Leaders for the New Century in 2000 as the Father of Robot Football. He is the founder of AI World Cup in 2017 and the organizing chair for the first AI World Cup 2018 in Korea.

Past lectures

Professor Li Deng, Chief Artificial Intelligence Officer, Citadel, FCAE, FIEEE

Professor Li Deng Title: From speech AI to finance AI, and back

Abstract:

A brief review will be provided first on how deep learning has disrupted speech recognition and language processing industries since 2009. Then connections will be drawn between the techniques (deep learning or otherwise) for modeling speech and language and those for financial markets. Similarities and differences of these two fields will be explored. In particular, three unique technical challenges to AI-empowered financial investment are addressed: extremely low signal-to-noise ratio, extremely strong nonstationarity (with adversarial nature), and heterogeneous big data. Finally, how the potential solutions to these challenges can come back to benefit and further advance speech recognition and language processing technology will be discussed.

Biography:

Professor Li Deng is the Chief Artificial Intelligence Officer for Citadel. Prior to joining Citadel, he held the roles of Chief Scientist of Artificial Intelligence, the founder of the Deep Learning Technology Centre, and a Partner Research Manager at Microsoft and Microsoft Research - Redmond, from 2000 to 2017.

Prior to joining Microsoft, Deng was an assistant professor (1989-1992), and tenured associate (1992-1996) and full professor (1996-1999) in the Department of Electrical and Computer Engineering at the University of Waterloo. He also held faculty and research positions at the Massachusetts Institute of Technology, Cambridge, Massachusetts (1992-1993), Advanced Telecommunications Research Institute, Kyoto, Japan (1997-1998), and the HK University of Science and Technology, Hong Kong (1995). He was also an affiliate professor at the University of Washington, Seattle.

Professor Deng is a Fellow of the Canadian Academy of Engineering, the IEEE, Washington State Academy of Sciences, Acoustical Society of America, and the International Speech Communication Association. He was an elected member of the Board of Governors of the IEEE Signal Processing Society, and was Editor-in-Chief of the IEEE Signal Processing Magazine and the IEEE/ACM Transactions on Audio, Speech, and Language Processing, for which he received the IEEE SPS Meritorious Service Award. In recognition of this pioneering work in the speech recognition industry using large-scale deep learning, Professor Deng received the 2015 IEEE SPS Technical Achievement Award for “Outstanding Contributions to Automatic Speech Recognition and to Deep Learning.” He also received dozens of best paper and patent awards for his contributions to artificial intelligence, machine learning, information retrieval, multimedia signal processing, speech processing and recognition, and human language technology.

Professor Deng is an author and co-author of six technical books on deep learning, speech processing, pattern recognition, machine learning, and natural language processing (Springer, June 2018).

Watch video on YouTube

Professor Chris Wilson

Professor Chris Wilson Title: Generating Quantum Microwaves using Superconducting Circuits

Speaker: Professor Chris Wilson

Christopher Wilson received his B.S. in Physics from MIT in 1996. There he performed undergraduate research on the role of nonlinear dynamics in the nervous system using analog circuit simulators. He received his Ph.D. in Physics from Yale University in 2002. His dissertation focused on the development of single-photon optical spectrometers using superconducting tunnel junctions. He then worked at Yale as the W.M. Keck postdoctoral fellow where he started work on quantum computation and information processing using superconducting single-electronics. In 2004, he moved to Chalmers University of Technology in Sweden, later becoming an Assistant Professor in 2007 and an Associate Professor in 2011. In 2011/2012, he spent a sabbatical year working at a biomedical startup company in Pasadena, where he worked on signal processing and machine learning for medical diagnostics. In 2012, Wilson joined the University of Waterloo where he was appointed to the Department of Electrical and Computer Engineering as an Associate Professor, and cross-appointed to the Department of Physics and Astronomy. He also has an affiliation with the Institute for Quantum Computing. His research focuses on applications of superconducting quantum electronics to quantum information, computing and sensing and the foundations of quantum mechanics. His work has been recognized internationally, receiving the 2012 Wallmark prize from the Royal Swedish Academy and being named one of the top 5 breakthroughs of 2011 by Physics World magazine.