궁재하
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| 궁재하 | |
|---|---|
| 소속 | |
| 부서 | |
| 전공분야 | VLSI, ML Accelerator, Low-Power Circuit Design |
| DGIST Email ID | jhkung@dgist.ac.kr |
| 홈페이지 | https://idslab.dgist.ac.kr/ |
UGRP 주제
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관심연구분야
High-performance system design for training deep neural networks Lightweight machine learning algorithms for energy-efficient inference engines Automated search of lightweight deep learning algorithms Energy-efficient hardware accelerator for scientific computing Understanding biological neurons by improving the performance of spike-based neural nets Brain signal processing using embedded hardware for the diagnosis of Parkinson’s disease Power-aware/thermal-aware system design methodology
