【学术视频】2019国际半导体前沿论坛 | Hoi-Jun Yoo of KAIST
更多精彩视频登陆网站
www.koushare.com
图 | Hoi-Jun Yoo
题 目:Intelligence on silicon: from DNN accelerators to super-intelligence AI-SoCs
报告人:Hoi-Jun Yoo单 位:Korea Advanced Institute of Science and Technology
时 间:2019-10-13
地 点:中国科学院半导体研究所扫码观看精彩报告视频
报告摘要
Recently, Deep Neural Networks are changing not only the technology paradigm in electronics but also the society itself with Artificial Intelligence technologies. In this lecture, firstly, the status of AI and DNN SoCs will be reviewed from two perspectives; the applications such as data-center oriented and the mobile and embedded AIs, and the evolution of DNN Accelerators. Especially, mobile and embedded deep learning hardware, low power CNPU and reconfigurable DNPU and UNPU which can accelerate both CNN (Convolutional Neural Network) and RNN (Recurrent Neural Network) will be introduced. In addition, their high efficiency and flexibility with “Dynamically Reconfigurable Processor” architecture will be explained in detail with the real chip measurement results, such as human emotion recognition and super-resolution image reconstruction. Secondly, KAIST’s approach for the super-intelligence will be explained with novel design methodology. The deep neural networks and the specialized intelligent hardware will implement not only the inference but also learning on a chip. The personalization and autonomous adaptation to the environmental changes are possible with the on-chip learning capability. Even Deep reinforcement learning can be accelerated by a dedicated chip for the many exciting applications such as object recognition and the object tracking applications are implemented with low-power and high-performance for autonomous vehicles, and intelligent robots.
个人简介
Professor Hoi-Jun Yoo is an IEEE fellow and ICT Chair professor of School of Electrical Engineering and the director of the System Design Innovation and Application Research Center (SDIA) at KAIST. He was the TPC Chair of ISSCC 2015, a Plenary Speaker of ISSCC 2019 entitled "Intelligence on Silicon: From Deep Neural Network Accelerators to Brain-Mimicking AISoCs". His current research interests are Bio Inspired AI Chip Design, Multicore AISoC design including DNN accelerators, Network on a Chip, and high speed and low power memory. He has published more than 250 papers, and wrote or edited 5 books, "DRAM Design" (1997, Hongneung). Dr. Yoo received Order of Service Merit from Korean government in 2011 for his contribution to Korean memory industry, Scientist/Engineer of the month Award from Ministry of Education, Science and Technology of Korea in 2010, Kyung-Am Scholar Award in 2014. He also received the Electronic Industrial Association of Korea Award for his contribution to DRAM technology in 1994, Hynix Development Award in 1995, the Korea Semiconductor Industry Association Award in 2002, Best Research of KAIST Award in 2007, Excellent Scholar of KAIST Award in 2011, Best Scholar of KAIST Award in 2019, and was a co-recipient of ASP-DAC Design Award in 2001, A-SSCC Outstanding Design Awards in 2005, 2006, 2007, 2010, 2011, 2014, ISSCC/DAC Student Design Contest Awards in 2007, 2008, 2010, 2011, and ISSCC Demonstration Session Recognition in 2016, 2017, 2019 and Best paper Award of IEEE AI-CAS in 2019. He has served as a member of the executive committee of ISSCC, Symposium on VLSI, and A-SSCC. He also served as the IEEE SSCS Distinguished Lecturer ('10-'11) and International Symposium on Wearable Computers (ISWC) 2010 and A-SSCC 2008. He was a guest editor of IEEE JSSC and IEEE T-BioCAS, and is an associate editor of IEEE JSSC and SSCL.
会议简介
International Semiconductor Frontier Forum (ISFF) 2019 is the first time for the Institute of Semiconductors CAS and the Journal of Semiconductors to jointly organize this annual conference. This year's conference brings together over 200 high-ranking guests from around the world. ISFF 2019 aims to provide a valuable opportunity for engineers and researchers to communicate their latest works and related breaking progress in Semiconductor Technology.
Conference Themes:
1) Physics, Materials, and Devices of Conventional Semiconductors;
2) Organic and Perovskite Semiconductors Based Optoelectronic Devices;
3) Optoelectronic Devices and Integration;
4) Microelectronic Devices and (Integrated) Circuits;
5) Semiconductor Spintronics; 6) Flexible Electronics;
7) Semiconductors and New Energy;
8) Wide Bandgap Semiconductors;
9) Semiconductor Quantum Devices and Physics;
10) Two-Dimensional Materials and Related Physics and Devices.
(The topics include but not limited to these.)
半导体学报公众号
END
扫描二维码,关注微信公众号