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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM30072

The Evolution of Artificial Intelligence: From Rule-Based Systems to Deep Learning

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM30072

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM30072

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DDA

Dr. Dharmendra Ambani

DAR

Dr. Ashwin Rathod

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Abstract

Artificial Intelligence (AI) has undergone significant transformation since its inception, evolving from basic rule-based systems to advanced deep learning architectures. This review paper chronicles the evolution of AI, examining the historical context, technological advancements, and the socio-economic impacts of these innovations. We categorize AI developments into distinct eras, including symbolic AI (or rule-based systems), connectionist models, and current deep learning paradigms. By analyzing the strengths and weaknesses of these approaches, the paper elucidates the journey towards creating more sophisticated AI systems. It also discusses future directions and the potential implications of emerging AI technologies on society, economies, and ethical considerations.

KEYWORDS

Artificial Intelligence Rule-Based Systems Deep Learning Machine Learning Neural Networks Evolution AI Ethics.

Cite This Article

Dr. Dharmendra Ambani, Dr. Ashwin Rathod, "The Evolution of Artificial Intelligence: From Rule-Based Systems to Deep Learning," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM30072

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Publication Date

4/26/2024

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