CVPR is the premiere conference in the computer vision and deep learning algorithms and optimizations. Congratulations to Sangyun and other team members including Hyeonuk and Sugil! The title of the paper is “Automated Log-Scale Quantization for Low-Cost Deep Neural Networks.”
안녕하세요,
겨울방학을 맞이하여, 연구참여에 관심있는 학부생 인턴을 모집합니다.
관심있는 학생은 간단한 자기 소개와 희망 연구 분야를 이 링크를 통해 보내 주세요.
*Acknowledgement: 위 연구들은 삼성 종합기술원, 한국연구재단, ETRI (한국전자통신연구원) 및 BK (Brain Korea) 등을 통해 지원 받음.
안녕하세요,
AI 대학원 신입생들을 위하여 온라인 연구실 설명회를 12/28(월)에 가질 예정이니, 관심있는 학생들은 sign up 바랍니다.
간단히 소개하면 우리랩에서 하는 연구는 크게 3가지인데요
메일 보내실때 어느 분야에 관심이 있는지도 알려주면 더 좋습니다.
The DATE (Design, Automation and Test in Europe Conference) conference is a premiere conference in the field of Electronic Design Automation. This year, we have two papers accepted for oral presentation.
Congratulations to Giju (first author), Jungi (first author), and Sugil as well as our collaborators at University of California, Irvine!
We’re accepting new graduate students.
Background doesn’t really matter, but it helps a lot if you are good at either
So whether you’re EE or CSE major (or something else),
Please apply or contact me if you’re interested and qualified.
We’re a leading research group on edge-based AI,
and our graduates go to Samsung, LG, international start-ups, etc.
We’re also recruiting undergraduate interns.
Please apply!
Congratulations to Segi and other team members! We are presenting one paper to GLSVLSI ’20, titled “Architecture-Accuracy Co-optimization of ReRAM-based Low-cost Neural Network Processor.”
GLSVLSI ’20 is the 30th edition of the ACM Great Lakes Symposium on VLSI.
DAC (Design Automation Conference) is the premiere conference and expo on design automation and embedded systems optimization.
Congratulations to Sugil and other team members! We are presenting one paper, titled “Learning to Predict IR Drop with Effective Training for ReRAM-based Neural Network Hardware.”
Congratulations to the NPRC (Neural Processing Research Center) team!
We are presenting a paper at DAC 2019 titled “Successive Log Quantization for Cost-Efficient Neural Networks Using Stochastic Computing.”
DAC (Design Automation Conference) is the premiere conference and expo on design automation and embedded systems optimization.
The RNC Lab at UNIST has four papers accepted this time to the 24th Asia and South Pacific Design Automation Conference (ASP-DAC), which will be held in Tokyo, Japan, in January 2019.
Congratulations to all the contributing authors, Aidyn, Daewoo, Hyeonuk, and Sugil!
