UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 10 Issue 2
February-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2302603


Registration ID:
546617

Page Number

f952-f956

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Title

Artificial Intelligence and Machine learning: A Study

Authors

Abstract

Abstract: Long days ago, there was all kind of work which is only done by the humans. There were no such machines and technologies like today. At that time, science is not developed and technologies were not invented. So the working is totally dependent on the peoples and humans have recognised that “Today’s science is the tomorrows technology”. New superiorly advanced technologies are not less than blessing of god. Adaptive inventions for reducing the human work and bright future were invented which is simply called as Artificial Intelligence and Machine learning. Even though there were many false assumptions at the early beginning, we are witnessing a new era of errorless technology and superior science. This review involves the general concepts of artificial intelligence and machine learning. Artificial Intelligence is a branch of Science which deals with helping machines finds solutions to complex problems in a more humanlike fashion. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way in the words Artificial Intelligence’s scientific goal is to understand intelligence by building computer programs that exhibit intelligent behavior. This paper presents some back ground and potential of Artificial Intelligence and its implementation in various fields and its history. We discuss issues that have not been studied in detail within the expert systems setting, yet are crucial for developing theoretical methods and computational architectures for automated reasons. The tools that are required to construct expert systems are discussed in detail. We put the foundational ideas in artificial intelligence and important concepts in Search Techniques, Knowledge Representation, Language Understanding, Machine Learning, Neural Computing and such other disciplines.

Key Words

Keywords-Artificial Intelligence, Expert System, Computer Science, AI Winter. reasoning, general AI, supervised learning,

Cite This Article

"Artificial Intelligence and Machine learning: A Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.f952-f956, February-2023, Available :http://www.jetir.org/papers/JETIR2302603.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Artificial Intelligence and Machine learning: A Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppf952-f956, February-2023, Available at : http://www.jetir.org/papers/JETIR2302603.pdf

Publication Details

Published Paper ID: JETIR2302603
Registration ID: 546617
Published In: Volume 10 | Issue 2 | Year February-2023
DOI (Digital Object Identifier):
Page No: f952-f956
Country: Bangalore dist., karnataka, India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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