About This Book
Artificial Intelligence (AI) is the field of computer science focused on creating systems capable of
performing tasks that would typically require human intelligence. These tasks include learning,
reasoning, problem-solving, perception, and language understanding. AI aims to build machines that
can think, learn, and act autonomously, with applications ranging from medical diagnosis to self-driving
cars. At its core, AI involves designing algorithms and models that allow computers to process and
interpret data, make decisions, and improve over time. The history of AI dates back to the 1950s when
pioneers like Alan Turing and John McCarthy began exploring how machines could mimic human
cognition. Over the decades, the field has evolved, driven by advancements in computational power,
data availability, and machine learning techniques. AI is often categorized into narrow AI and general AI.
Narrow AI, also known as weak AI, is designed to handle specific tasks, such as facial recognition or speech
translation. In contrast, general AI, or strong AI, refers to a system that can perform any intellectual task
that a human can. While narrow AI is already prevalent in everyday applications, general AI remains a
long-term goal for researchers. Today, AI is increasingly integrated into industries such as healthcare,
finance, education, and entertainment, revolutionizing how we live and work. Introduction to Artificial
Intelligence provides a clear and comprehensive overview of the field, covering fundamental concepts,
techniques, and applications of AI.
Contents: 1. Artificial Intelligence: Powered Automation Solutions, 2. Artificial Intelligence and the
Dynamics of Human Thought, 3. Artificial Neural Network Design, 4. Approaches to Building Intelligent
Machines and their Theories, 5. Computer Algorithms, 6. Automated Logical Reasoning in Programming,
7. Approaches to Problem Solving in Artificial Intelligence, 8. Intelligent Systems Powered by AI,
9. System-Level Virtual Machines.
