Welcome to IDS Lab!

Research topics

  • 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 reconstruction using artificial intelligence and its hardware implementation
  • Power-aware/thermal-aware system design methodology

Broader research interests include VLSI design, digital IC design, accelerator/computer architecture.
Please contact Prof. Kung if interested.