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AI at the Edge
book

AI at the Edge

by Daniel Situnayake, Jenny Plunkett
January 2023
Intermediate to advanced
512 pages
14h 21m
English
O'Reilly Media, Inc.
Book available
Content preview from AI at the Edge

About the Authors

Daniel Situnayake is head of machine learning at Edge Impulse, where he leads embedded machine learning research and development. He is coauthor of the O’Reilly book TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low Power Microcontrollers, the standard textbook on embedded machine learning, and has delivered guest lectures at Harvard, UC Berkeley, and UNIFEI. Dan previously worked on TensorFlow Lite at Google, and cofounded Tiny Farms, the first US company using automation to produce insect protein at industrial scale. He began his career lecturing in automatic identification and data capture at Birmingham City University.

Jenny Plunkett is a senior developer relations engineer at Edge Impulse, where she is a technical speaker, developer evangelist, and technical content creator. In addition to maintaining the Edge Impulse documentation, she has also created developer-facing resources for Arm Mbed OS and Pelion IoT. She has presented workshops and tech talks for major tech conferences such as the Grace Hopper Celebration, Edge AI Summit, Embedded Vision Summit, and more. Jenny previously worked as a software engineer and IoT consultant for Arm Mbed and Pelion. She graduated with a BS in electrical engineering from The University of Texas at Austin.

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Publisher Resources

ISBN: 9781098120191Errata PageSupplemental Content