ARI 560 - Embedded AI

Graduate standing. (4)

This course will present recent advances towards the goal of enabling efficient implementation of deep machine learning and AI models on embedded systems. Specifically, it will provide an overview of the theoretical foundations and motivations behind various deep learning models; software modeling and optimization techniques for these models; hardware platforms and architectures to support efficient execution of machine learning models, and hardware-software co-design approaches for machine learning. Not open to students with credit for ARI 460. Graded ABCDE