A bried history of Artificial Intelligence: From Dartmouth Conference to the Rise of AI

1956: Dartmouth Conference, considered the birth of AI as a field of study, with researchers including John McCarthy, Marvin Minsky, Claude Shannon, Nathaniel Rochester, and Trenchard More.
1960s: Early AI research focused on symbolic reasoning and problem-solving using rule-based systems, leading to the development of expert systems.
1971: The first video game using AI, “Spacewar!”, is created.
1980s: The development of expert systems reaches its peak, but they suffer from the limited knowledge they contain and the inability to learn.
1986: The concept of “machine learning” is introduced, allowing computers to learn from data instead of relying solely on explicit programming.
1997: Deep Blue, a chess-playing computer developed by IBM, beats world champion Garry Kasparov in a six-game match.
2006: The Watson computer, developed by IBM, competes on and wins the quiz show “Jeopardy!”
2010s: The rise of big data and advancements in computer hardware lead to significant progress in AI, including the development of deep learning algorithms, the increase in speech recognition and natural language processing accuracy, and the first practical uses of autonomous vehicles.
2015: AlphaGo, a computer program developed by DeepMind, beats world champion Lee Sedol in the board game Go.

2017: OpenAI develops GPT-2, a language model that can generate human-like text.

2020s: AI continues to rapidly advance and is increasingly integrated into various industries, including healthcare, finance, and retail. The ethical and societal implications of AI become more widely debated.
Today OpenAI with GPT-3 is hitting the news