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Origins and History of AI
Origins and History of AI

An interactive timeline tracing AI from its philosophical roots to modern-day breakthroughs in machine learning and generative AI.

A journey through time and innovation

This comprehensive interactive timeline visually chronicles the evolution of Artificial Intelligence, from its philosophical roots to its modern-day breakthroughs in machine learning and generative AI. It highlights key historical milestones, influential figures, technological advancements, and periods of both progress and challenge in the field of AI.

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About this resource #

The timeline covers the following eras:

Early Origins (384 BC to 1943)

  • 384–322 BC: Aristotle lays foundational work for objects, logic, and scientific methods.
  • 1642: Blaise Pascal invents the mechanical calculator.
  • 1763: Bayes’ Theorem is published, marking the beginning of statistical methods foundational to AI.
  • 1818: Mary Shelley’s Frankenstein and Samuel Butler’s Erewhon introduce AI in literature.
  • 1843: Ada Lovelace describes the first computer algorithm (Note G), suggesting machines could manipulate symbols.
  • 1920: Karel Čapek’s play R.U.R. introduces the word “robot,” expanding AI concepts into popular culture.
  • 1943: Warren McCulloch and Walter Pitts create a computational model for neural networks.

Golden Years of Technological Advances (1950 to 1972)

  • 1950: Alan Turing publishes “Computing Machinery and Intelligence” and proposes the Turing Test.
  • 1951: Marvin Minsky & Dean Edmunds build SNARC, a network of 3,000 vacuum tubes simulating 40 neurons.
  • 1955: John McCarthy coins the term “Artificial Intelligence” and organises the Dartmouth Summer Research Project.
  • 1959: Arthur L. Samuel demonstrates machines can learn from past errors using the game of checkers.
  • 1961: “Unimate,” the first industrial robot, is deployed on a General Motors assembly line.
  • 1964: ELIZA, an early NLP program, is developed at MIT by Joseph Weizenbaum.
  • 1972: Karen Spärck Jones devises Inverse Document Frequency (IDF), underlying most modern search engines.

AI Winter #1 (1973 to 1974)

  • 1973: Scepticism about AI’s capabilities leads to reduced funding.
  • 1974: Ray Kurzweil’s company introduces Optical Character Recognition (OCR) commercially.

Rejuvenation (1980s)

  • 1980s: “Expert systems” are adopted by corporations around the world.
  • 1986: David Rumelhart and James McClelland develop ideas around parallel distributed processing and neural network models.

AI Winter #2 (1987)

  • 1987: The LISP machine market collapses.

Rebirth (1995 to 1997)

  • 1995: A semi-autonomous vehicle navigates a 4,501 km journey.
  • 1997: IBM’s Deep Blue becomes the first computer to beat reigning world chess champion Garry Kasparov.

AI Enters the Home (1999 to 2002)

  • 1999: Sony launches AIBO, a four-legged autonomous robot for consumers.
  • 2002: iRobot releases Roomba, demonstrating practical household AI applications.

Breakthroughs and AI Becomes Mainstream (2004 to 2018)

  • 2004: DARPA challenges stimulate advancements in autonomous vehicle technology.
  • 2011: Introduction of AI-powered voice assistants like Siri, Google Now, and Cortana.
  • 2012: Google’s X lab demonstrates 70% better results in detecting and recognising cats from YouTube videos using unsupervised learning.
  • 2016: Google’s AlphaGo defeats Go champion Lee Se-dol, a landmark achievement in AI’s strategic capabilities.
  • 2018: Generative AI — featuring GANs and variational autoencoders — excels in producing realistic images, text, and music from vast datasets.