History of AI

By Glutz03
  • First AI made

    First AI made
    This AI named "El Ajedrecista" or "The Chess Player" in English was a chess AI, and was really advanced for the time. It wasn't amazing and fast and didn't stand by the 50 move rule, but it checkmated every opponent it went against and knew when the opposing player made an illegal move.
  • First AI to solve Math

    First AI to solve Math
    Herbert Gelernter (Pictured due to no image of the AI) made an AI called the "Geometry Theorem Prover", that could solve Algebra and Geometry problems.
  • AI is Born

    AI is Born
    Many scientists at this time were wondering if a thing like AI would be a possible thing, and did many tests to see if it was. The tests came out successful, and the field of technology called "Artificial Intelligence" was made
  • First Robot

    First Robot
    The first robot project (1970-1973) was called WABOT, and came out a success. The robot could move and speak Japanese and have conversations.
  • First AI Winter

    First AI Winter
    (1974-1980) AI winter refers to a down period where research had to be halted due to constraints in technology at the time.
  • Expert Systems is made

    Expert Systems is made
    An Expert System is an AI that answers questions and solves problems about a specific domain of knowledge.
  • Second AI winter

    Second AI winter
    Due to budget cuts/lack of budget, ai in this time period (1987-1993), another AI winter happened.
  • AI beats a world champion

    AI beats a world champion
    A Chess playing super computer (Deep Blue) beats the reigning world champion of chess at the time, Garry Kasparov.
  • Robot wins a Grand Challenge

    Robot wins a Grand Challenge
    A Stanford robot won the DARPA Grand Challenge by driving autonomously for 131 miles along a unrehearsed desert trail.
  • Biggest AI advancements

    Biggest AI advancements
    (2011-Now) Deep learning, Big Data, and Artificial General Intelligence have been developed, with each doing something specific. Deep Learning models data with deep levels of graphing, Big Data refers to how much data can be captured, managed and processed by conventional software, and Artificial General Intelligence is the ability to solve any problem.