Journal of Innovation in Computer Science and Engineering
  • Year: 2018
  • Volume: 7
  • Issue: 2

Artificial intelligence jargon explained

  • Author:
  • S V Ramanamurthy1, K V R Rajya Lakshmi2,, K Bharani Ganga2,, B Manasa2,
  • Total Page Count: 5
  • Page Number: 25 to 29

1Professor, Department of Computer Science & Engineering, SM-IEEE, Pragati Engineering College, Surampalem, India, Email: saripalli@ieee.org

2Department of Computer Science& Engineering, Pragati Engineering College, Surampalem, India

*rajyalakshmikattoju@gmail.com

**bharaniganga08@gmail.com

***manasabuddi07@gmail.com

Online published on 10 October, 2018.

Abstract

This paper gives abig picture on the buzzword Artificial Intelligence and also clears up the confusion of how all-encompassing terms like artificial intelligence, machine learning, and deep learning differ. These days, the fuzz words Machine Learning and Artificial Intelligence (AI) twirling around them, which makes one easy to get away and not see the variation between hype and reality. For example, just because information is calculated by an algorithm it doesn't mean the tag "machine learning" or "artificial intelligence" should beapplied. So what does an actual AI mean, domachines really think, learn and adapt? How do they? A lot of questions surrounded in one's mind when comes to Artificial intelligence technology. This paper is all about the jargon explanation on AI that briefly explains the connections of AI and satisfying question tags like what, how, why, where.

Keywords

Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks