Select one of the options below:
Machine learning for embedded systems, edge computing, and Internet of Things (IoT) computing; hardware/software codesign for machine learning; model compression and optimization; latency and memory optimizations; data reuse and sharing techniques; applications of machine learning in embedded applications, including computer vision, natural language processing, speech processing, video analysis, and anomaly detection; hardware accelerators for deep learning; ethics in machine learning.
ECE 251 (Introduction to Microcontrollers) or CS 270 (Computer Organization) or equivalent introductory microcontroller or computer architecture course
9704910254 | Sudeep.Pasricha@colostate.edu