The history of AI began in earnest in the 1950s with pioneers like Alan Turing, who proposed the Turing Test as a measure of machine intelligence.
This period saw the birth of the first AI programs to mimic human problem-solving and learning capabilities. Over the decades, AI evolved through various stages, from developing rule-based systems in the 1970s and 1980s to machine learning in the 1990s, where systems could learn from data rather than follow explicitly programmed instructions.
The introduction of deep knowledge in the 21st century marked a significant leap, leading to advancements in natural language processing, computer vision, and more.
Check out this timeline.