Affective Computing Timeline

  • Nineteenth Century

    Nineteenth Century
    In the nineteenth century mathematical logic + emerging felid of electronics lead the development of machine logic/programming language. Picture source: https://salempress.com/Great-Events-from-History-19th-century
  • World War II

    World War II
    The turning point in world war was when England was able to break coded messages from Japan and Germany. The code that was cracked was known as the "Enigma Code."Alan Turning and fellow scientist created a machine which was called "Bombe." This machine laid the foundation for machine learning. Further Article Source: https://towardsdatascience.com/history-of-ai-484a86fc16ef
    Image Source: https://www.dailymail.co.uk/news/article-5243337/Alan-Turings-code-breaking-machines-hidden-away-war.html
  • Computing Machinery & Intelligence

    This paper was published in the 1950's and proposed the question "Can we make machines think?"
  • Artificial Intelligence Coined

    Artificial Intelligence Coined
    The term "Artificial Intelligence" is coined at Dartmouth college for the very first time, which started the felid of study. Image Source: https://en.wikipedia.org/wiki/Dartmouth_College
  • AI programming language

    The creation of AI programming language happened in 1958 and goes by the mnemonic device LISP.
  • Moore's Law

    In 1965 Gordon Moore published an article for the future direction of technology. He focused on four data point that identified a regular doubling of the number of electronic components.
  • Moore's Adjustments

    Later in 1975, Moore adjusted revised his forecast to say doubling would occur about once every two years.
  • Wall street journal

    Wall street journal
    The Wall Street Journal publishes an article that states that the small paperclip in the microsoft program was one of the most reviled software designs of all time. Image source; https://www.youtube.com/user/WSJDigitalNetwork/videos
  • Market Research Reporty

    According to 2015 Market Research Report the world affective computing market is forecast tor rapidly grow from 9.3 billion in 2015 to 42.51 billion in 2020.
  • FUTURE- Accurate Mood Rings

    The amount of mood rings I bought as a child was obscene. I think that in the future their will be an accurate way to tell a persons mood based on a color. The technology would be able to read our faces, heart rate, firing nuerons. Red for me would be angry, blue would be sad, soft green would be happy, and so on.