Overview
Preface
In the big picture of how humans have progressed over time, there haven't been many things that have caught our attention and changed what we can do like Artificial Intelligence (AI). This is all about how we've come up with new ideas and technologies to copy human-like thinking and go beyond what we can normally do. This journey of creating new things has been really interesting.
This book is like a trip into the world of AI. AI used to be something we only saw in stories, but now it's a part of our everyday lives. Think about self-driving cars and computer programs that talk to us like helpers. Even in things like finding out what's wrong with our health or making art, AI is there. It's become a natural part of how we live. As we explore all the amazing things AI can do and think about the right and wrong ways to use it, it's super important to learn about where AI comes from and how it's changed over time.
As we dive into the chapters of this book, we go on an exciting journey through the development of AI. First, in Chapter 1 (Historical Development) we will look at the fundamental concepts underlying AI and its historical roots. Understanding the beginnings of AI and the initial ideas that shaped its development provides a solid foundation for exploring its many applications today.
Chapter 2 (Symbolic AI) explores the early methodologies that sought to mimic human thought processes using symbolic representation. From logic systems to rule-based expert systems, this chapter unveils the pioneering efforts that paved the way for AI's journey.
Chapter 3 (Expert Systems) showcases the ingenuity of early AI applications, where knowledge from human experts was distilled into computational systems, offering insights and recommendations that previously required human intuition.
Chapter 4 (Machine Learning) marks a paradigm shift as AI began to learn from data. This chapter traces the evolution from classic statistical methods to the transformative power of machine learning algorithms that thrive on patterns and statistics.
Chapter 5 (Neural Networks) introduces the neural-inspired approaches that form the basis for AI's modern revolution. The intricacies of neurons and synapses are harnessed to enable computers to "think" in new ways.
Chapter 6 (Deep Learning) embarks on a journey into the depths of multi-layered neural networks that have revolutionized AI capabilities, bringing about breakthroughs in image recognition, language understanding, and much more.
Chapter 7 (Natural Language Processing) unravels the complexities of human language, illustrating how AI deciphers, comprehends, and even generates human-like text, transforming the way we interact with machines.
Chapter 8 (Computer Vision) delves into the eyes of AI systems—cameras and sensors—equipping them with the ability to interpret and understand the visual world, enabling applications from facial recognition to autonomous vehicles.
Chapter 9 (Robotics) merges the physical and cognitive realms of AI, breathing life into machines that can navigate the world, perform tasks, and collaborate with humans in an array of fields.
As we read through these chapters, we will see something that keeps showing up: AI isn't just a big jump in technology. It's also like a mirror reflecting how much we always want to know and do more. Each time we learn about AI, it changes how businesses work, makes us think about what's right and wrong, and shows us new things we never thought possible before.
This book is more than just a guide. It is like an invitation to explore the past, now, and what is coming in the future. AI is changing how we think about being smart and how we create things. No matter if you want to work with technology, you're really curious, or you just like learning about new stuff, this book will show you cool things about AI. So, get ready to learn with an open mind. What's ahead is like a beautiful picture made of human smarts and lots of possibilities for what's coming next.
About the Author
Hamid Kobdani is an experienced software expert with a remarkable track record of more than 25 years in design, development and implementation of software systems. He holds a B.Sc. in Software Engineering, an M.Sc. in Distributed Computing Systems and a Ph.D. in Artificial Intelligence and Natural Language Processing from the University of Stuttgart. With a solid foundation in computer science and a creative mindset, he has made a name for himself as a educator and author in the field of software development and artificial intelligence. His ability to develop high-quality software solutions and communicate complicated technical concepts effectively makes his writing both insightful and accessible to different audiences. Driven by his enthusiasm for this field, he wants to share his knowledge and arouse the curiosity of others to better explore the limitless possibilities of software development and artificial intelligence.