Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign

Abstract

This work is an introduction and a survey for the Special Issue on Machine Intelligence at the Edge. The authors argue that workloads that were formerly performed in the cloud are increasingly moving to resource-limited edge computing systems, which raises a new set of challenges for machine learning as well as new opportunities. The topic is introduced by means of building blocks ranging from edge fundamentals to edge AI enabling methodologies as well as future trends and challenges.