ARI 460 - Embedded AI

At least sophomore standing. (4)

Exploration of recent advances toward efficient implementation of deep machine learning and AI models on embedded systems. 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. Graded ABCDE