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Albert Chun-Chen Liu - Understanding Artificial Intelligence: Fundamentals and Applications

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Understanding Artificial Intelligence

Provides students across majors with a clear and accessible overview of new artificial intelligence technologies and applications

Artificial intelligence (AI) is broadly defined as computers programmed to simulate the cognitive functions of the human mind. In combination with the Neural Network (NN), Big Data (BD), and the Internet of Things (IoT), artificial intelligence has transformed everyday life: self-driving cars, delivery drones, digital assistants, facial recognition devices, autonomous vacuum cleaners, and mobile navigation apps all rely on AI to perform tasks. With the rise of artificial intelligence, the job market of the near future will be radically different???many jobs will disappear, yet new jobs and opportunities will emerge.

Understanding Artificial Intelligence: Fundamentals and Applications covers the fundamental concepts and key technologies of AI while exploring its impact on the future of work. Requiring no previous background in artificial intelligence, this easy-to-understand textbook addresses AI challenges in healthcare, finance, retail, manufacturing, agriculture, government, and smart city development. Each chapter includes simple computer laboratories to teach students how to develop artificial intelligence applications and integrate software and hardware for robotic development. In addition, this text:

  • Focuses on artificial intelligence applications in different industries and sectors
  • Traces the history of neural networks and explains popular neural network architectures
  • Covers AI technologies, such as Machine Vision (MV), Natural Language Processing (NLP), and Unmanned Aerial Vehicles (UAV)
  • Describes various artificial intelligence computational platforms, including Google Tensor Processing Unit (TPU) and Kneron Neural Processing Unit (NPU)
  • Highlights the development of new artificial intelligence hardware and architectures

Understanding Artificial Intelligence: Fundamentals and Applications is an excellent textbook for undergraduates in business, humanities, the arts, science, healthcare, engineering, and many other disciplines. It is also an invaluable guide for working professionals wanting to learn about the ways AI is changing their particular field.

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Table of Contents List of Tables Chapter 5 Chapter 14 Appendix D List - photo 1
Table of Contents
List of Tables
  1. Chapter 5
  2. Chapter 14
  3. Appendix D
List of Illustrations
  1. Chapter 1
  2. Chapter 2
  3. Chapter 3
  4. Chapter 4
  5. Chapter 5
  6. Chapter 6
  7. Chapter 7
  8. Chapter 8
  9. Chapter 9
  10. Chapter 10
  11. Chapter 11
  12. Chapter 12
  13. Chapter 13
  14. Chapter 14
  15. Appendix A
  16. Appendix B
  17. Appendix C
  18. Appendix D
  19. Appendix E
Guide
Pages
IEEE Press
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Piscataway, NJ 08854
IEEE Press Editorial Board
Sarah Spurgeon, Editor in Chief
Jn Atli Benediktsson
Anjan Bose
Adam Drobot
Peter (Yong) Lian
Andreas Molisch
Saeid Nahavandi
Jeffrey Reed
Thomas Robertazzi
Diomidis Spinellis
Ahmet Murat Tekalp
Understanding Artificial Intelligence
Fundamentals and Applications

Albert Chun Chen Liu

Kneron Inc,

San Diego, USA

Oscar Ming Kin Law

Kneron Inc,

San Diego, USA

Iain Law

University of California,

San Diego, USA

Copyright 2022 by The Institute of Electrical and Electronics Engineers Inc - photo 2

Copyright 2022 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

Published by John Wiley & Sons, Inc., Hoboken, New Jersey.
Published simultaneously in Canada.

No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the publisher, or authorization through payment of the appropriate percopy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 7508400, fax (978) 7504470, or on the web at www.copyright.com. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 7486011, fax (201) 7486008, or online at http://www.wiley.com/go/permission.

Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives or written sales materials. The advice and strategies contained herein may not be suitable for your situation. You should consult with a professional where appropriate. Neither the publisher nor author shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

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Library of Congress CataloginginPublication Data
Names: Liu, Albert Chun Chen, author. | Law, Oscar Ming Kin, author. | Law, Iain, author.
Title: Understanding artificial intelligence : fundamentals and applications / Albert Chun Chen Liu, Oscar Ming Kin Law, Iain Law.
Description: Hoboken, New Jersey : WileyIEEE Press, [2022] | Includes bibliographical references and index.
Identifiers: LCCN 2022017564 (print) | LCCN 2022017565 (ebook) | ISBN 9781119858331 (cloth) | ISBN 9781119858348 (adobe pdf) | ISBN 9781119858386 (epub)
Subjects: LCSH: Artificial intelligence.
Classification: LCC Q335 .L495 2022 (print) | LCC Q335 (ebook) | DDC 006.3dc23/eng20220718
LC record available at https://lccn.loc.gov/2022017564
LC ebook record available at https://lccn.loc.gov/2022017565

Cover Design: Wiley
Cover Image: Blue Planet Studio/Shutterstock

Education is not the learning of facts,
but the training of the mind to think

Albert Einstein

List of Figures
Fourth industrial revolution [3].
Artificial intelligence.
Neural network development timeline.
ImageNet challenge.
Human neuron and neural network comparison.
Convolutional neural network.
Recurrent neural network.
Reinforcement learning.
Regression.
Clustering.
Application development cycle.
Artificial intelligence applications.
Convolutional neural network architecture.
AlexNet feature map evolution.
Image convolution.
Activation function.
Pooling layer.
Dropout layer.
Object recognition examples [19].
Object recognition.
Object detection/instance segmentation [18].
Object detection/semantic segmentation.
Feature extraction/matching [18].
Facial recognition [21].
Emotion recognition [22].
Gesture recognition [23].
Medical diagnosis [24].
Retail applications.
Airport security [26].
Natural language processing market.
Convolutional neural network.
Recurrent neural network.
Long shortterm memory network.
Recursive neural network.
Reinforcement learning.
IBM Watson assistant.
Google translate.
Medical transcription [36].
Autonomous vehicle [39].
Levels of driving automation.
Autonomous technology.
Computer vision technology [45].
Radar technology [45].
Localization technology [47].
Path planning technology [48].
Tesla trafficaware cruise control.
Vehicletovehicle communication.
Vehicle to infrastructure communication.
Vehicletopedestrian communication.
Autonomous vehicle law legislation.
Unmanned aerial vehicle design.
Drone structure.
Six degree of freedom.
Infrastructure inspection and maintenance [57].
Civil construction [58].
Agricultural drone [59].
Search and rescue drone [60].
Telehealth/telemedicine.
Medical diagnosis [66].
Radiology analysis.
Smart medical device [71].
Electronic health record.
Medical billing [74].
Drug development.
Clinical trial [76].
Medical robot [78].
Elderly care [80].
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