Artificial Intelligence for dummies

Table of content

Introduction

About This Book

Icons Used in This Book

Beyond the Book

Where to Go from Here



Part 1: Introducing AI

Chapter 1: Introducing AI

Defining the Term AI
Discerning intelligence
Discovering four ways to define AI
Understanding the History of AI
Starting with symbolic logic at Dartmouth
Continuing with expert systems
Overcoming the AI winters
Considering AI Uses
Avoiding AI Hype
Connecting AI to the Underlying Computer


Chapter 2: Defining the Role of Data

Finding Data Ubiquitous in This Age
Understanding Moore’s implications
Using data everywhere
Putting algorithms into action
Using Data Successfully
Considering the data sources
Obtaining reliable data
Making human input more reliable
Using automated data collection
Manicuring the Data
Dealing with missing data
Considering data misalignments
Separating useful data from other data
Considering the Five Mistruths in Data
Commission
Omission
Perspective
Bias
Frame of reference
Defining the Limits of Data Acquisition


Chapter 3: Considering the Use of Algorithms

Understanding the Role of Algorithms
Understanding what algorithm means
Starting from planning and branching
Playing adversarial games
Using local search and heuristics
Discovering the Learning Machine
Leveraging expert systems
Introducing machine learning
Touching new heights


Chapter 4: Pioneering Specialized Hardware

Relying on Standard Hardware
Understanding the standard hardware
Describing standard hardware deficiencies
Using GPUs
Considering the Von Neumann bottleneck
Defining the GPU
Considering why GPUs work well
Creating a Specialized Processing Environment
Increasing Hardware Capabilities
Adding Specialized Sensors
Devising Methods to Interact with the Environment


Part 2: Considering the Uses of AI in Society

Chapter 5: Seeing AI Uses in Computer Applications

Introducing Common Application Types
Using AI in typical applications
Realizing AI‘s wide range of fields
Considering the Chinese Room argument
Seeing How AI Makes Applications Friendlier
Performing Corrections Automatically
Considering the kinds of corrections
Seeing the benefits of automatic corrections
Understanding why automated corrections don’t work
Making Suggestions
Getting suggestions based on past actions
Getting suggestions based on groups
Obtaining the wrong suggestions
Considering AI-based Errors


Chapter 6: Automating Common Processes

Developing Solutions for Boredom
Making tasks more interesting
Helping humans work more efficiently
Understanding how AI reduces boredom
Considering how AI can’t reduce boredom
Working in Industrial Settings
Developing various levels of automation
Using more than just robots
Relying on automation alone
Creating a Safe Environment
Considering the role of boredom in accidents
Seeing AI in avoiding safety issues
Understanding that AI can’t eliminate safety issues


Chapter 7: Using AI to Address Medical Needs

Implementing Portable Patient Monitoring
Wearing helpful monitors
Relying on critical wearable monitors
Using movable monitors
Making Humans More Capable
Using games for therapy
Considering the use of exoskeletons
Addressing Special Needs
Considering the software-based solutions
Relying on hardware augmentation
Seeing AI in prosthetics
Completing Analysis in New Ways
Devising New Surgical Techniques
Making surgical suggestions
Assisting a surgeon
Replacing the surgeon with monitoring
Performing Tasks Using Automation
Working with medical records
Predicting the future
Making procedures safer
Creating better medications
Combining Robots and Medical Professionals


Chapter 8: Relying on AI to Improve Human Interaction

Developing New Ways to Communicate
Creating new alphabets
Automating language translation
Incorporating body language
Exchanging Ideas
Creating connections
Augmenting communication
Defining trends
Using Multimedia
Embellishing Human Sensory Perception
Shifting data spectrum
Augmenting human senses


Part 3: Working with Software-Based AI Applications

Chapter 9: Performing Data Analysis for AI

Defining Data Analysis
Understanding why analysis is important
Reconsidering the value of data
Defining Machine Learning
Understanding how machine learning works
Understanding the benefits of machine learning
Being useful; being mundane
Specifying the limits of machine learning
Considering How to Learn from Data
Supervised learning
Unsupervised learning
Reinforcement learning


Chapter 10: Employing Machine Learning in AI

Taking Many Different Roads to Learning
Discovering five main approaches to AI learning
Delving into the three most promising AI learning approaches
Awaiting the next breakthrough
Exploring the Truth in Probabilities
Determining what probabilities can do
Considering prior knowledge
Envisioning the world as a graph
Growing Trees that Can Classify
Predicting outcomes by splitting data
Making decisions based on trees
Pruning overgrown trees


Chapter 11: Improving AI with Deep Learning

Shaping Neural Networks Similar to the Human Brain
Introducing the neuron
Starting with the miraculous perceptron
Mimicking the Learning Brain
Considering simple neural networks
Figuring out the secret is in the weights
Understanding the role of backpropagation
Introducing Deep Learning
Explaining the difference in deep learning
Finding even smarter solutions
Detecting Edges and Shapes from Images
Starting with character recognition
Explaining how convolutions work
Advancing using image challenges
Learning to Imitate Art and Life
Memorizing sequences that matter
Discovering the magic of AI conversations
Making an AI compete against another AI


Part 4: Working With AI in Hardware Applications

Chapter 12: Developing Robots

Defining Robot Roles
Overcoming the sci-fi view of robots
Knowing why it’s hard to be a humanoid
Working with robots
Assembling a Basic Robot
Considering the components
Sensing the world
Controlling a robot


Chapter 13: Flying with Drones

Acknowledging the State of the Art
Flying unmanned to missions
Meeting the quadcopter
Defining Uses for Drones
Seeing drones in nonmilitary roles
Powering up drones using AI
Understanding regulatory issues


Chapter 14: Utilizing the AI-Driven Car

Getting a Short History
Understanding the Future of Mobility
Climbing the six levels of autonomy
Rethinking the role of cars in our lives
Getting into a Self-Driving Car
Putting all the tech together
Letting AI into the scene
Understanding it is not just AI
Overcoming Uncertainty of Perceptions
Introducing the car’s senses
Putting together what you perceive


Part 5: Considering the Future of AI

Chapter 15: Understanding the Nonstarter Application

Using AI Where It Won’t Work
Defining the limits of AI
Applying AI incorrectly
Entering a world of unrealistic expectations
Considering the Effects of AI Winters
Understanding the AI winter
Defining the causes of the AI winter
Rebuilding expectations with new goals
Creating Solutions in Search of a Problem
Defining a gizmo
Avoiding the infomercial
Understanding when humans do it better
Looking for the simple solution


Chapter 16: Seeing AI in Space

Observing the Universe
Seeing clearly for the first time
Finding new places to go
Considering the evolution of the universe
Creating new scientific principles
Performing Space Mining
Harvesting water
Obtaining rare earths and other metals
Finding new elements
Enhancing communication
Exploring New Places
Starting with the probe
Relying on robotic missions
Adding the human element
Building Structures in Space
Taking your first space vacation
Performing scientific investigation
Industrializing space
Using space for storage


Chapter 17: Adding New Human Occupations

Living and Working in Space
Creating Cities in Hostile Environments
Building cities in the ocean
Creating space-based habitats
Constructing moon-based resources
Making Humans More Efficient
Fixing Problems on a Planetary Scale
Contemplating how the world works
Locating potential sources of problems
Defining potential solutions
Seeing the effects of the solutions
Trying again


Part 6: The Part of Tens

Chapter 18: Ten AI-Safe Occupations

Performing Human Interaction
Teaching children
Nursing
Addressing personal needs
Solving developmental issues
Creating New Things
Inventing
Being artistic
Imagining the unreal
Making Intuitive Decisions
Investigating crime
Monitoring situations in real time
Separating fact from fiction


Chapter 19: Ten Substantial Contributions of AI to Society

Considering Human-Specific Interactions
Devising the active human foot
Performing constant monitoring
Administering medications
Developing Industrial Solutions
Using AI with 3-D printing
Advancing robot technologies
Creating New Technology Environments
Developing rare new resources
Seeing what can’t be seen
Working with AI in Space
Delivering goods to space stations
Mining extraplanetary resources
Exploring other planets


Chapter 20: Ten Ways in Which AI Has Failed

Understanding
Interpreting, not analyzing
Going beyond pure numbers
Considering consequences
Discovering
Devising new data from old
Seeing beyond the patterns
Implementing new senses
Empathizing
Walking in someone’s shoes
Developing true relationships
Changing perspective
Making leaps of faith


Index

The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and tv shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI, and how it is being used today. This book will give an overview of the technology, and address common misconceptions regarding Artificial Intelligence.