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CS 528 - Embedded Systems and Machine Learning

  • 4 credits
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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


Sudeep Pasricha

9704910254 |