[ 융합 과 학부 ] Bringing Intelligence to Mobile Platforms : From Deep Learning to Neuromorphic Computing – 서울 대학교 융합 과학 기술 대학원 
 [ 융합 과 학부 ] Bringing Intelligence to Mobile Platforms : From Deep Learning to Neuromorphic Computing 
 Speaker : 전동석 조교수 ( 융합 과학 기술 대학원 ) 
 Date & Time : 2018 . 11 . 27 . ( 화 ) , 17 : 00 
 Deep learning algorithms have gathered serious attention in the last few years due to their outstanding performance even comparable to that of a human . Their application areas are fast expanding from computer vision and speech recognition to multi - modal understanding . However , due to the highly constrained power budget of battery - powered systems , and unavoidable leakage and enlarged PVT variability of sub - nanometer process , we are still far from realizing state - of - the - art machine learning algorithms on mobile platforms . 
 Neuromorphic computing seeks to mimic the mechanism of human brain precisely by sticking to what neuroscientists have discovered in the brain . Spiking neural network has been studied as a strong candidate due to its biological plausibility . The algorithm was proposed decades ago , but its performance still remains inferior to that of other deep learning algorithms . 
 In this talk , various hardware designs aimed at realizing those algorithms on mobile platforms will be discussed in detail . Since a large network is a necessity in real - world applications , reducing hardware cost and power consumption is a key to successful hardware implementation . Examples of hardware accelerators for deep learning algorithms as well as neuromorphic computing will be presented along with their advantages and limitations . Finally , some recent works from our research group will be introduced . 
 Dongsuk Jeon received a B . S degree in electrical engineering from Seoul National University , South Korea , in 2009 and a Ph . D . degree in electrical engineering at the University of Michigan , Ann Arbor in 2014 . From 2014 to 2015 , he was a postdoctoral associate at Massachusetts Institute of Technology . He is currently an assistant professor of Graduate School of Convergence Science and Technology at Seoul National University . His research interests include energy - efficient signal processing , low power circuit and SoC for mobile applications .