Artificial Intelligence All-in-One For Dummies

Book 1

Understanding AI Foundations

Contents at a Glance

1. Chapter 1: Delving into What AI Means
   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 Data’s Role in AI
   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. Integrating AI with Advanced Sensor Technology
   8. Devising Methods to Interact with the Environment
5. Chapter 5: Parsing Machine Learning and Deep Learning
   1. Decoding Machine and Deep Learning
   2. Demystifying Natural-Language Processing
   3. Understanding Transformers
   4. Illuminating Generative AI Models
   5. Recognizing AI’s Limitations
6. Chapter 6: Upholding Responsible AI Standards in GenAI Use
   1. Achieving Originality and Excellence in GenAI-Generated Content
   2. Applying Journalism Ethics to GenAI-Generated Content
   3. Joining the Responsible AI Movement
7. Chapter 7: Finding Job Security in an AI World
   1. Identifying Tasks That AI Can’t Replace
   2. Upskilling for AI-Proof Jobs
   3. Translating ...