The Evolution of Artificial Intelligence: From Turing to Today

Artificial intelligence is transforming every industry, but to truly grasp its potential, you must first understand its origins. This course traces the fascinating history of AI, explaining how we arrived at today's powerful systems. By the end of this course, you will possess a solid conceptual framework for discussing AI, recognizing the significance of key historical periods, major breakthroughs like deep learning, and the ongoing challenges related to ethics and safety. You will be able to contextualize current AI news within its broader historical narrative. What you'll learn: * Understand the foundational philosophical questions that laid the groundwork for computation and the concept of machine intelligence. * Analyze the key historical periods, including the Dartmouth workshop, the subsequent 'AI winters,' and the eventual resurgence powered by massive data. * Learn the core concepts of early AI research, such as symbolic AI, expert systems, and the initial designs for artificial neural networks. * Explore modern breakthroughs, including the architecture of transformer models and the principles behind large language models (LLMs). * Practice recognizing the critical ethical dilemmas and future challenges posed by advanced general AI and machine safety. We begin by defining intelligence and exploring early concepts from mathematics and philosophy, moving chronologically through the major eras of AI research and culminating in an examination of current trends and future directions. This course is designed for absolute beginners interested in technology, history, and the future of computation. No prior knowledge of programming, mathematics, or AI is required. Start your journey to understanding the history of the most disruptive technology of our time.