AI at the Edge, 9781098120207
Paperback
Unlock IoT potential: bring AI to devices, solving real-world problems.

AI at the Edge

solving real-world problems with embedded machine learning

$143.12

  • Paperback

    512 pages

  • Release Date

    24 January 2023

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Summary

Unlock the Potential of Edge AI: A Practical Guide

Edge artificial intelligence is revolutionizing computer-world interaction, empowering IoT devices to leverage previously discarded sensor data. Through embedded machine learning, developers can capture human intuition and deploy it across diverse targets—from microcontrollers to embedded Linux devices. Applications benefit from reduced latency, enhanced privacy, and offline functionality, significantly expanding IoT capabilities.

Book Details

ISBN-13:9781098120207
ISBN-10:1098120205
Author:Daniel Situnayake, Jenny Plunkett
Publisher:O'Reilly Media
Imprint:O'Reilly Media
Format:Paperback
Number of Pages:512
Release Date:24 January 2023
Weight:812g
Dimensions:233mm x 178mm x 26mm
About The Author

Daniel Situnayake

Daniel Situnayake is Head of Machine Learning at Edge Impulse, where he leads embedded machine learning R&D. He’s 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 co-founded 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 B.S. in Electrical Engineering from The University of Texas at Austin.

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