Intelligent Digital Systems (IDS) Lab aims to develop highly intelligent digital systems by innovating research in the domain of VLSI design and computer architecture. Recently, our research group is focusing on designing hardware accelerators for machine intelligence in either edge or server environment. In addition, we try to come up with lightweight deep learning algorithmsㅍㄴ to let memory-intensive deep learning workloads fit in mobile devices. Overall, our vision is to make the world even smarter with energy-efficient and intelligent digital products that are used in daily basis. The following research topics are the main focus in recent years:- High-performance system design for training deep neural nets- Lightweight machine learning algorithms for energy-efficient inference engines- Automated search of lightweight deep learning models- Energy-efficient hardware accelerators for scientific computing- Understanding biological neurons by improving the performance of spike-based neural nets- Power-aware/thermal-aware system design methodology