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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.
Audiobook available
Content preview from AI at the Edge

Chapter 1. A Brief Introduction to Edge AI

Welcome on board! In this chapter, we’ll be taking a comprehensive tour of the edge AI world. We’ll define the key terms, learn what makes “edge AI” different from other AI, and explore some of the most important use cases. Our goal for this chapter is to answer these two important questions:

  • What is edge AI, anyway?

  • Why would I ever need it?

Defining Key Terms

Each area of technology has its own taxonomy of buzzwords, and edge AI is no different. In fact, the term edge AI is a union of two buzzwords, fused together into one mighty term. It’s often heard alongside its siblings, embedded machine learning and TinyML.

Before we move on, we better spend some time defining these terms and understanding what they mean. Since we’re dealing with compound buzzwords, let’s deal with the most fundamental parts first.

Embedded

What is “embedded”? Depending on your background, this may be the most familiar of all the terms we’re trying to describe. Embedded systems are the computers that control the electronics of all sorts of physical devices, from Bluetooth headphones to the engine control unit of a modern car. Embedded software is software that runs on them. Figure 1-1 shows a few places where embedded systems can be found.

An illustration with examples of various embedded systems: audio-visual equipment, manufacturing equipment, gaming consoles, motion sensors, domestic appliances, medical devices, telecommunication equipment, and cars and vehicles.
Figure 1-1. Embedded systems are present in every part of our world, including the home and the workplace

Embedded ...

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Publisher Resources

ISBN: 9781098120191Errata Page