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.

Table of Contents

1 Introduction

2 Neural Network

3 Machine Vision

4 Natural Language Processing

5 Autonomous Vehicle

6 Drone

7 Healthcare

8 Finance

9 Retail

10 Manufacturing

11 Agriculture

12 Smart City

13 Government

14 Computing Platform

Appendix A Kneron Neural Processing Unit

Appendix B Object Detection – Overview

Appendix C Object Detection – Hardware

Appendix D Hardware Transfer Mode

Appendix E Object Detection – Software (Optional)

About the Authors

Albert Chun Chen Liu, Ph.D., is the CEO of Kneron and an Adjunct Associate Professor at National Tsing Hua University, National Chiao Tung University, and National Cheng Kung University, Taiwan.

Oscar Ming Kin Law, Ph.D., is the director of engineering at Kneron. He has over 20 years of experience in the semiconductor industry and has published more than 70 patents in various areas.

Iain Law studies Economics and Data Science at the University of California, San Diego. He has worked on several artificial intelligence projects including the LEGO smart robot and DJI Tello smart drone for STEM education.