AI for Engineers
"Engineers use Embedded Systems to create Artificial Intelligence — here is everything you need to understand how."
"No hype. No vagueness. Just engineering."
A "10 minutes" read on What an Engineering Faculty must know about "AI enabled embedded systems solution"
A must for a faculty, also a for an engineering student or an engineering professional who has foundational knowledge on Embedded Systems creation.
Note that, Embedded Systems is the foundation for creating artificially intelligent physical solutions across Electrical, Electronics, Computer Science and Mechanical Engineering.
A"2 Hours read" on AI implementation foundations for an Embedded Systems Engineer and an Engineering student
"If you already program microcontrollers, interface sensors, and write C firmware — you are closer to building AI systems than you think. This resource was built specifically for engineers with that background." This is a detailed 2 hours self study material that gives an Eagle eye perspective of the whole process of implementing AI on Embedded Systems.
A "1 hour read" on Rotating Machinery health Monitoring System design", using Machine Learning based AI
This content is a good read, once you complete the above two contents and now you are excited to learn more about the underlying process for creating a Machine learning based Artificial intelligence in an Embedded system. This document explains that, with a real world Industrial system example.