Artificial Intelligence For Dummies
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Dive into the intelligence that powers artificial intelligence Artificial intelligence is swiftly moving from a sci-fi future to a modern reality. This edition of Artificial Intelligence For Dummies keeps pace with the lighting-fast expansion of AI tools that are overhauling every corner of reality. This book demystifies how artificial intelligence systems operate, giving you a look at the inner workings of AI and explaining the important role of data in creating intelligence.
You'll get a primer on using AI in everyday life, and you'll also get a glimpse into possible AI-driven futures. What's next for humanity in the age of AI? How will your job and your life change as AI continue to evolve? How can you take advantage of AI today to make your live easier? This jargon-free Dummies guide answers all your most pressing questions about the world of artificial intelligence.
Learn the basics of AI hardware and software, and how intelligence is created from code Get up to date with the latest AI trends and disruptions across industries Wrap your mind around what the AI revolution means for humanity, and for you Discover tips on using generative AI ethically and effectively Artificial Intelligence For Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.
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- Wiley Professional Development (P&T)
- 9781394270729
- 9781394270712
- ePub
- 3
- John Paul Mueller; Luca Massaron; Stephanie Diamond
- English
- 2024-10-16
- 100
- 10
- 2
Kaflar
- Cover
- Title Page
- Copyright
- Introduction
- About This Book
- Icons Used in This Book
- Beyond the Book
- Where to Go from Here
- Part 1: Introducing AI
- Chapter 1: Delving into What AI Means
- Defining the Term AI
- Understanding the History of AI
- Considering AI Uses
- Avoiding AI Hype and Overestimation
- Connecting AI to the Underlying Computer
- Chapter 2: Defining Data’s Role In AI
- Finding Data Ubiquitous in This Age
- Using Data Successfully
- Manicuring the Data
- Considering the Five Mistruths in Data
- Defining the Limits of Data Acquisition
- Considering Data Security Issues
- Chapter 3: Considering the Use of Algorithms
- Understanding the Role of Algorithms
- Discovering the Learning Machine
- Chapter 4: Pioneering Specialized Hardware
- Relying on Standard Hardware
- Using GPUs
- Working with Deep Learning Processors (DLPs)
- Creating a Specialized Processing Environment
- Increasing Hardware Capabilities
- Adding Specialized Sensors
- Integrating AI with Advanced Sensor Technology
- Devising Methods to Interact with the Environment
- Part 2: Understanding How AI Works
- Chapter 5: Crafting Intelligence for AI Data Analysis
- Defining Data Analysis
- Defining Machine Learning (ML)
- Considering How to Learn from Data
- Chapter 6: Employing Machine Learning in AI
- Taking Many Different Roads to Learning
- Exploring the Truth in Probabilities
- Growing Trees That Can Classify
- Chapter 7: Improving AI with Deep Learning
- Shaping Neural Networks Similar to the Human Brain
- Mimicking the Learning Brain
- Introducing Deep Learning
- Detecting Edges and Shapes from Images
- Part 3: Recognizing How We Interact with AI Every Day
- Chapter 8: Unleashing Generative AI for Text and Images
- Getting an Overview of Generative AI
- Discovering the Magic Smooth Talk of AI
- Working with Generative AI
- Understanding the Societal Implications of Generative AI
- Deciding What Makes a Good Generative AI App
- Commercializing Generative AI
- Chapter 9: Seeing AI Uses in Computer Applications
- Introducing Common Application Types
- Seeing How AI Makes Applications Friendlier
- Performing Corrections Automatically
- Making Suggestions
- Considering AI-Based Errors
- Chapter 10: Automating Common Processes
- Developing Solutions for Boredom
- Working in Industrial Settings
- Creating a Safe Environment
- Chapter 11: Relying on AI to Improve Human Interaction
- Developing New Ways to Communicate
- Exchanging Ideas
- Using Multimedia
- Embellishing Human Sensory Perception
- Part 4: AI Applied in Industries
- Chapter 12: Using AI to Address Medical Needs
- Implementing Portable Patient Monitoring
- Making Humans More Capable
- Addressing Special Needs
- Completing Analysis in New Ways
- Relying on Telepresence
- Devising New Surgical Techniques
- Performing Tasks Using Automation
- Combining Robots and Medical Professionals
- Considering Disruptions AI Causes for Medical Professionals
- Chapter 13: Developing Robots
- Defining Robot Roles
- Assembling a Basic Robot
- Chapter 14: Flying with Drones
- Acknowledging the State of the Art
- Defining Uses for Drones
- Reviewing Privacy and Data Protection in Drone Operations
- Chapter 15: Utilizing the AI-Driven Car
- Examining the Short History of SD Cars
- Understanding the Future of Mobility
- Getting into a Self-Driving Car
- Overcoming Uncertainty of Perceptions
- Part 5: Getting Philosophical About AI
- Chapter 16: Understanding the Nonstarter Application – Why We Still Need Humans
- Using AI Where It Won’t Work
- Considering the Effects of AI Winters
- Creating Solutions in Search of a Problem
- Chapter 17: Engaging in Human Endeavors
- Keeping Human Beings Popular
- Living and Working in Space
- Creating Cities in Hostile Environments
- Making Humans More Efficient
- Fixing Problems on a Planetary Scale
- Chapter 18: Seeing AI in Space
- Integrating AI into Space Operations
- Performing Space Mining
- Exploring New Places
- Building Structures in Space
- Part 6: The Part of Tens
- Chapter 19: Ten Substantial Contributions of AI to Society
- Considering Human-Specific Interactions
- Developing Industrial Solutions
- Creating New Technology Environments
- Working with AI in Space
- Chapter 20: Ten Ways in Which AI Has Failed
- Understanding
- Discovering
- Empathizing
- Index
- About the Authors
- Connect with Dummies
- End User License Agreement