Artificial intelligence for dummies
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...
| Other Authors: | |
|---|---|
| Format: | eBook |
| Language: | Inglés |
| Published: |
Hoboken, N.J.:
Wiley
c2022.
Hoboken, New Jersey : [2022] |
| Edition: | Second edition |
| Series: | --For dummies
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009645674106719 |
Table of Contents:
- Intro
- Title Page
- Copyright Page
- Table of Contents
- 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 and Overestimation
- Defining the five tribes and the master algorithm
- Considering sources of hype
- Understanding user overestimation
- 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
- Collecting personal data ethically
- 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
- Considering Data Security Issues
- Understanding purposefully biased data
- Dealing with data-source corruption
- Cancelling botnets with sinkholing
- Chapter 3 Considering the Use of Algorithms
- Understanding the Role of Algorithms
- Understanding what algorithm means
- Planning and branching: Trees and nodes
- Extending the tree using graph nodes
- Traversing the graph
- 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
- Relying on new computational techniques
- Using GPUs
- Considering the von Neumann bottleneck
- Defining the GPU
- Considering why GPUs work well
- Working with Deep Learning Processors (DLPs)
- Defining the DLP
- Using the mobile Neural Processing Unit (NPU)
- Accessing the cloud-based Tenser Processing Unit (TPU)
- 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
- Using AI to avoid 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 a Range of Physical Abilities
- Considering the software-based solutions
- Relying on hardware augmentation
- Seeing AI in prosthetics
- Completing Analysis in New Ways
- Relying on Telepresence
- Defining telepresence
- Considering examples of telepresence
- Understanding telepresence limitations
- 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
- Working with emoji and other meaningful graphics
- 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 differences between deep learning and other forms of neural networks
- 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
- Going for the state of the pretrained art
- Making one AI compete against another AI
- Pondering reinforcement learning
- Part 4 Working with AI in Hardware Applications
- Chapter 12 Developing Robots
- Defining Robot Roles
- Overcoming the sci-fi view of robots
- Being humanoid can be hard
- 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
- Taking a step back from unmet expectations
- Getting into a Self-Driving Car
- Putting all the tech together
- Letting AI into the scene
- Understanding that it's 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 Engaging in Human Endeavors.
- Keeping Human Beings Popular.
