IoT Integration In Embedded Systems
The main points include discussing novel applications of machine learning, optimising memory usage, designing hardware for machine learning accelerators that are efficient, and learning how to codesign hardware and software to get even better results in terms of energy efficiency, reliability, and performance.
Abstract
‘IoT Integration in Embedded Systems’ provides a comprehensive overview of the technology behind Internet of Things devices by combining theory with examples and well-integrated visuals. In it, you’ll get an introduction to the Internet of Things (IoT), guidelines for developing embedded systems, and best practices for managing code, versions, and defects in a connected environment. The main points include discussing novel applications of machine learning, optimising memory usage, designing hardware for machine learning accelerators that are efficient, showing how to compress models and search for neural architectures to run fast and efficiently on hardware with limited resources, and learning how to codesign hardware and software to get even better results in terms of energy efficiency, reliability, and performance.