Artificial Intelligence For Dummies, 2nd Edition

Book description

Forget far-away dreams of the future. Artificial intelligence is here now! 

Every time you use a smart device or some sort of slick technology—be it a smartwatch, smart speaker, security alarm, or even customer service chat box—you’re engaging with artificial intelligence (AI). If you’re curious about how AI is developed—or question whether AI is real—Artificial Intelligence For Dummies holds the answers you’re looking for. Starting with a basic definition of AI and explanations of data use, algorithms, special hardware, and more, this reference simplifies this complex topic for anyone who wants to understand what operates the devices we can’t live without.  

This book will help you: 

  • Separate the reality of artificial intelligence from the hype 
  • Know what artificial intelligence can accomplish and what its limits are 
  • Understand how AI speeds up data gathering and analysis to help you make informed decisions more quickly 
  • See how AI is being used in hardware applications like drones, robots, and vehicles 
  • Know where AI could be used in space, medicine, and communication fields sooner than you think 

Almost 80 percent of the devices you interact with every day depend on some sort of AI. And although you don’t need to understand AI to operate your smart speaker or interact with a bot, you’ll feel a little smarter—dare we say more intelligent—when you know what’s going on behind the scenes.  So don’t wait. Pick up this popular guide to unlock the secrets of AI today! 

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Introduction
    1. About This Book
    2. Icons Used in This Book
    3. Beyond the Book
    4. Where to Go from Here
  5. Part 1: Introducing AI
    1. Chapter 1: Introducing AI
      1. Defining the Term AI
      2. Understanding the History of AI
      3. Considering AI Uses
      4. Avoiding AI Hype and Overestimation
      5. Connecting AI to the Underlying Computer
    2. Chapter 2: Defining the Role of Data
      1. Finding Data Ubiquitous in This Age
      2. Using Data Successfully
      3. Manicuring the Data
      4. Considering the Five Mistruths in Data
      5. Defining the Limits of Data Acquisition
      6. Considering Data Security Issues
    3. Chapter 3: Considering the Use of Algorithms
      1. Understanding the Role of Algorithms
      2. Discovering the Learning Machine
    4. Chapter 4: Pioneering Specialized Hardware
      1. Relying on Standard Hardware
      2. Using GPUs
      3. Working with Deep Learning Processors (DLPs)
      4. Creating a Specialized Processing Environment
      5. Increasing Hardware Capabilities
      6. Adding Specialized Sensors
      7. Devising Methods to Interact with the Environment
  6. Part 2: Considering the Uses of AI in Society
    1. Chapter 5: Seeing AI Uses in Computer Applications
      1. Introducing Common Application Types
      2. Seeing How AI Makes Applications Friendlier
      3. Performing Corrections Automatically
      4. Making Suggestions
      5. Considering AI-based Errors
    2. Chapter 6: Automating Common Processes
      1. Developing Solutions for Boredom
      2. Working in Industrial Settings
      3. Creating a Safe Environment
    3. Chapter 7: Using AI to Address Medical Needs
      1. Implementing Portable Patient Monitoring
      2. Making Humans More Capable
      3. Addressing a Range of Physical Abilities
      4. Completing Analysis in New Ways
      5. Relying on Telepresence
      6. Devising New Surgical Techniques
      7. Performing Tasks Using Automation
      8. Combining Robots and Medical Professionals
    4. Chapter 8: Relying on AI to Improve Human Interaction
      1. Developing New Ways to Communicate
      2. Exchanging Ideas
      3. Embellishing Human Sensory Perception
  7. Part 3: Working with Software-Based AI Applications
    1. Chapter 9: Performing Data Analysis for AI
      1. Defining Data Analysis
      2. Defining Machine Learning
      3. Considering How to Learn from Data
    2. Chapter 10: Employing Machine Learning in AI
      1. Taking Many Different Roads to Learning
      2. Exploring the Truth in Probabilities
      3. Growing Trees that Can Classify
    3. Chapter 11: Improving AI with Deep Learning
      1. Shaping Neural Networks Similar to the Human Brain
      2. Mimicking the Learning Brain
      3. Introducing Deep Learning
      4. Detecting Edges and Shapes from Images
      5. Learning to Imitate Art and Life
  8. Part 4: Working with AI in Hardware Applications
    1. Chapter 12: Developing Robots
      1. Defining Robot Roles
      2. Assembling a Basic Robot
    2. Chapter 13: Flying with Drones
      1. Acknowledging the State of the Art
      2. Defining Uses for Drones
    3. Chapter 14: Utilizing the AI-Driven Car
      1. Getting a Short History
      2. Understanding the Future of Mobility
      3. Getting into a Self-Driving Car
      4. Overcoming Uncertainty of Perceptions
  9. Part 5: Considering the Future of AI
    1. Chapter 15: Understanding the Nonstarter Application
      1. Using AI Where It Won’t Work
      2. Considering the Effects of AI Winters
      3. Creating Solutions in Search of a Problem
    2. Chapter 16: Seeing AI in Space
      1. Observing the Universe
      2. Performing Space Mining
      3. Exploring New Places
      4. Building Structures in Space
    3. Chapter 17: Engaging in Human Endeavors
      1. Keeping Human Beings Popular
      2. Living and Working in Space
      3. Creating Cities in Hostile Environments
      4. Making Humans More Efficient
      5. Fixing Problems on a Planetary Scale
  10. Part 6: The Part of Tens
    1. Chapter 18: Ten Occupational Categories that AI Can’t Replace
      1. Performing Human Interaction
      2. Creating New Things
      3. Making Intuitive Decisions
    2. Chapter 19: Ten Substantial Contributions of AI to Society
      1. Considering Human-Specific Interactions
      2. Developing Industrial Solutions
      3. Creating New Technology Environments
      4. Working with AI in Space
    3. Chapter 20: Ten Ways in Which AI Has Failed
      1. Understanding
      2. Discovering
      3. Empathizing
  11. Index
  12. About the Authors
  13. Advertisement Page
  14. Connect with Dummies
  15. End User License Agreement

Product information

  • Title: Artificial Intelligence For Dummies, 2nd Edition
  • Author(s): John Paul Mueller, Luca Massaron
  • Release date: November 2021
  • Publisher(s): For Dummies
  • ISBN: 9781119796763