Editing History of Artificial Intelligence (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Turing Test''' — Alan Turing's 1950 proposal: a machine can be said to think if it can converse indistinguishably from a human.
* '''Dartmouth Conference (1956)''' — The founding event of AI as a discipline; coined the term "artificial intelligence."
* '''Symbolic AI''' — Early AI approach based on logical rules, symbols, and reasoning; "Good Old-Fashioned AI" (GOFAI).
* '''Perceptron''' — Frank Rosenblatt's 1957 single-layer neural network; the first "learning machine."
* '''First AI Winter (1974–1980)''' — Period of drastically reduced funding after early AI systems failed to scale.
* '''Expert Systems''' — Rule-based systems encoding domain expert knowledge; 1980s AI boom (MYCIN, XCON).
* '''Second AI Winter (1987–1993)''' — Collapse of expert system commercial market; renewed funding cuts.
* '''Backpropagation (1986)''' — Rumelhart, Hinton, Williams rediscovered backpropagation, enabling multi-layer neural network training.
* '''Deep Blue (1997)''' — IBM's chess computer defeated world champion Garry Kasparov; milestone in game-playing AI.
* '''Machine learning revolution (2000s)''' — Statistical ML (SVMs, boosting, random forests) dominates; feature engineering era.
* '''ImageNet moment (2012)''' — AlexNet won ImageNet competition by huge margin using deep CNNs; sparked the deep learning revolution.
* '''AlphaGo (2016)''' — DeepMind's system defeated world Go champion using RL + MCTS; previously thought impossible.
* '''Transformer (2017)''' — "Attention Is All You Need" paper introduced the transformer architecture underpinning modern LLMs.
* '''GPT-3 (2020)''' — OpenAI's 175B parameter LLM demonstrated emergent few-shot learning abilities.
* '''ChatGPT (2022)''' — RLHF-trained conversational LLM; fastest product to 100M users in history.
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