Welcome


Our EI Research Group focuses on developing custom computing techniques to meet the challenging demands for performance, energy-efficiency, cost, reliability, and security in edge intelligence (EI). We investigate novel design methodologies, domain-specific architectures, architecture-aware algorithmic optimizations, and distributed edge intelligence that will enable complex Artificial Intelligence (AI) applications to run on edge devices (e.g., smart cameras, mobile devices, IoT, robots, automobiles) in order to provide timely operations in large-scale applications while being robust to faults and security attacks.

Our group is affiliated with the Hardware and Embedded Systems Lab (HESL) in the College of Computing and Data Science (CCDS), NTU, Singapore.