E-Books →Artificial Intelligence Foundations and Concepts

Fast-forward to 1956, when a bright-eyed American computer scientist named John McCarthy invited a handful of luminaries to a workshop at Dartmouth College. They collectively christened the field "Artificial Intelligence," charting a course that would catapult Turing's foundational ideas into the realm of serious scientific inquiry. This small gathering-just a handful of curious minds in a modest lecture hall-ignited a transformation that has arguably become as significant as the Industrial Revolution or the dawn of the Internet. AI promised machines that could learn, reason, and adapt much like humans, if not better.
However, if we zoom out even further, we notice that the dream of mechanical minds is much older. Mythologies and legends from around the world flirt with the notion of artificial beings. From the Greek tale of Talos, the giant bronze automaton, to medieval stories of golems molded from clay, humans have long been captivated by the possibility of imbuing inanimate objects with life-or something resembling life. The difference is that Turing and McCarthy moved these ancient reveries from fable to framework. They gave AI the mathematical language it needed to step out of myth and into everyday reality.