News Research

7 Types of Artificial Intelligence: Propelling the Technology Development

The Artificial Intelligence () applications we see today is merely a tip of the iceberg

Copyright by www.analyticsinsight.net

SwissCognitive, AI, Artificial Intelligence, Bots, CDO, CIO, CI, Cognitive Computing, Deep Learning, IoT, Machine Learning, NLP, Robot, Virtual reality, learningArtificial Intelligence () is more than just a buzzword, it is a change. If the 21st century is supposed to be remembered for something, then it is absolutely and the changes it has brought. Ever since the idea of machines came to existence and the word ‘’ was coined in a summer conference at Dartmouth University,  has made a significant impact on people’s lives. Today, machines understand verbal commands, distinguish pictures, drive cars, play games and much more in a better way than how humans do. Will you believe it if I say the applications we see today are merely a tip of the iceberg? Yes, there is absolutely a whole mountain of applications that could be discovered in future. Unfortunately, there are threats too. People are engraved with the fear that might soon capture the world and wipe off humankind like how it is portrayed in dystopian movies. We can’t totally deny it, but the development of depends on how human train it. So a large part of the responsibility is in our hands to feed with considerable datasets. Mainly can be divided into four types,

  • • Reactive machines
  • • Limited memory
  • • Theory of mind
  • • Self-aware
  • can also be classified based on technology into three types,
  • • Artificial Narrow Intelligence (ANI)
  • • Artificial General Intelligence (AGI)
  • • Artificial Super Intelligence (ASI)

7 types of explained

Reactive machines

Reactive machines are the most basic types of systems that perceive the world directly and act on what it sees. The computer is purely reactive, and neither has to form memory nor to use past experience. researcher Rodney Brooks argued in a seminal paper that we should only build this kind of . For example, Deep Blue, IBM’s chess-playing supercomputer that made a breakthrough by beating grandmaster Garry Kasparov in 1997 was a reactive machine. It did not take any pre-applied datasets or look for previous matches. All it knows was how to play the game and conditions. The computer moved chess coins based on its real-time intuition and won the game.

Limited Memory

Limited memory machines are ditto of reactive machines added with historical data which will help them take decisions. Almost all the machines that we use today are limited memory machines, which are powered by datasets. systems use and are trained by large volumes of data that they store in their memory to form a reference model for solving future problems. For example, an is trained to determine and label certain things like a cat or a dog from a picture. It knows how a cat or a dog looks from the previously trained datasets. Henceforth, it opts out the matching images. […]

Read more www.analyticsinsight.net

2 Comments

  1. Pingback: Top 10 artificial intelligence stories – SwissCognitive The Global AI Hub

  2. Pingback: Mistakes That Kill AI Projects - SwissCognitive – The Global AI Hub

Leave a Reply

Your email address will not be published. Required fields are marked *