Brief History of AI

Artificial Intelligence began in the 1950s with early ideas about machines that could think, sparked by Alan Turing and formalized at the 1956 Dartmouth workshop.
Through the 1960s and 70s, researchers built simple programs like ELIZA and expert systems, but limited computing power led to slow progress and “AI winters” when funding dried up.
In the 1990s, machine learning shifted AI from hand‑coded rules to learning from data, leading to milestones like IBM’s Deep Blue beating chess champion Garry Kasparov.
The 2010s saw the rise of deep learning, powered by big data and GPUs, enabling breakthroughs in image recognition, language, and voice assistants.
Today, in the 2020s, large language models and generative AI have ushered in a new era where AI can write, code, and create media, making it a central part of search, productivity, and daily life.
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