Ai brain

Artificial Intelligence Timeline

  • 3 BCE

    Knapping

    Knapping
    Knapping is considered to be one of the most influential development. Knapping allowed for communication of how the stone tools were made to be passed down to generations. This was was an influential ability because the hominids did not depend on verbal language. Instead they used emotion and expression through nonverbal communication.This tool was created from a chert which was hit with rocks and granite until a sharp edge was created. It was used for protection and to scrape meat.
  • Machine Logic & Programming

    Machine Logic & Programming
    In the 19th and 20th century there was major progression in mathematics. This led to the development of machine logic. In the field of electronics and technology there was substantial development which aided in machine logical as well as programable languages. Later in the 20th century, there was extensive research conducted on neurological networks in the brain interchanging electrical signals. Which aided in the development of communication grids.
  • World War II

    World War II
    World War II was a turning point in AI, and made extensive steps in the field of computer science. During the war Germany and Japan were using codes that seemed unbreakable. Without the research and advancements of the code-braking team, the war could have lasted many more years or the Allies could have lost. Machine intelligence won the war, which was by technology decoding messages. Without human intelligence technology the Allies could not have cracked the code. Then AI interest increased.
  • AI Council Leads to Research and AI Programing

    AI Council Leads to Research and AI Programing
    Shortly after the war, in the mid to late 1950s there was a vast amount of money put into research for machine intelligence. In 1956, the term artificial intelligence was focused on. Then there were attempts to write the first programs for AI. During 1958, there was progression in the development of AI programable language.
  • Moore's Law

    Moore's Law
    Gordon Moore produced an article that projected the trend of technology growth. Moore's Law projected the every two years the number of transistors on microchip. Moore's Law has been a driver for continuous development in the computer science industry. In which Moore's Law was a driving force for the ongoing progression of AI. (e.g.(https://www.youtube.com/watch?v=CUnQNTwmHHo))
  • Rosalind Picard Affective Computing

    Rosalind Picard Affective Computing
    Rosalind Picard joined the MIT Media lab in 1987. During her time at the Media Lab where she researched and worked on new technologies. It was not until 1997 that she introduced the idea of affective computing. This idea was a branch of artificial intelligence. The idea of affective computing focused on recognizing, interpreting, and responding to humans emotion.
  • Microsoft Assistant Clippy

    Microsoft Assistant Clippy
    After the negative feedback that Microsoft received from Clippy the Office Assistant. Picard's team came out with a squeezable mouse that could recognize tension that a user could be having. Before the mouse Clippy would just appear which frustrated users even more. With the mouse detecting tension, that would be recognized then Clippy the assistant would appear in response. This demonstrates a product that can detect emotion, and then provide assistance.
  • Brain Chipping

    Brain Chipping
    .Brain Chipping is understanding the signals and brain activity pathways. It is being worked on for the purpose to relief mental disease.This process has been started by Musk today. This chip has AI technology in it, for people to communicate who no longer can. Surprisedly, a brain chip has already been placed in a human with ALS. (https://www.businessinsider.in/tech/news/a-brain-computer-startup-beat-elon-musks-neuralink-to-implanting-its-first-chip-in-a-us-patient/articleshow/92963513.cms)
  • Personal Digital Assistants

    Personal Digital Assistants
    In 2032 there are digital assistants to humans. One digital assistant is known as Mandy. This technology is possible through recognizing, interpreting, and replicating human emotions. This allows the assistant to respond to human needs that are not verbally expressed. Mandy, has the ability to keep past records of the user, when to wake up in the morning, work schedules, outfit recommendations, and verbal replay to the user.