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Hands-On Artificial Intelligence for IoT - Second Edition

You're reading from Hands-On Artificial Intelligence for IoT - Second Edition

Product type Book

Published in Jan 2019

Publisher Packt

ISBN-13 9781788836067

Pages 390 pages

Edition 2nd Edition

Languages

Concepts

Artificial Intelligence

Author (1):

Amita Kapoor

Table of Contents (20) Chapters

Title Page

Copyright and Credits

Dedication

About Packt

Contributors

Preface

1. Principles and Foundations of IoT and AI

2. Data Access and Distributed Processing for IoT

3. Machine Learning for IoT

4. Deep Learning for IoT

5. Genetic Algorithms for IoT

6. Reinforcement Learning for IoT

7. Generative Models for IoT

8. Distributed AI for IoT

9. Personal and Home IoT

10. AI for the Industrial IoT

11. AI for Smart Cities IoT

12. Combining It All Together

1. Other Books You May Enjoy

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Index

Components of a smart city

A smart city has lots of use cases for AI-powered IoT-enabled technology, from maintaining a healthier environment to enhancing public transport and safety. In the following diagram, you can see some the of use cases for a smart city:

Smart city components

In this section, we'll provide an overview of the most popular use cases—some of them already implemented in smart cities across the world.

Smart traffic management

AI and IoT can implement smart traffic solutions to ensure that inhabitants of a smart city get from one point to another in the city as safely and efficiently as possible.

Los Angeles, one of the most congested cities in the world, has implemented a smart traffic solution to control the flow of traffic. It has installed road-surface sensors and closed-circuit television cameras that send real-time updates about the traffic flow to a central traffic management system. The data feed from the sensors and cameras is analyzed, and it notifies the users...

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Authors (1)

Amita Kapoor

Amita Kapoor is an accomplished AI consultant and educator, with over 25 years of experience. She has received international recognition for her work, including the DAAD fellowship and the Intel Developer Mesh AI Innovator Award. She is a highly respected scholar in her field, with over 100 research papers and several best-selling books on deep learning and AI. After teaching for 25 years at the University of Delhi, Amita took early retirement and turned her focus to democratizing AI education. She currently serves as a member of the Board of Directors for the non-profit Neuromatch Academy, fostering greater accessibility to knowledge and resources in the field. Following her retirement, Amita also founded NePeur, a company that provides data analytics and AI consultancy services. In addition, she shares her expertise with a global audience by teaching online classes on data science and AI at the University of Oxford.

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