AI That Thinks

This book traces the evolution of AI through symbolic reasoning, neural networks, computer vision, robotics, edge AI, and emerging quantum paradigms. It argues for a mechanism-agnostic definition of intelligence, the one based not on how a system is built, but on what it demonstrably does, which is to perceive, predict, learn, adapt, collaborate, and act under uncertainty. By connecting philosophy with engineering and theory with implementation, the book provides a rigorous yet accessible foundation for understanding what it would take to build machines that genuinely think.