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The Effectiveness of Artificial Intelligence to Enrich Installation Art

Article

Last updated: 04 Jan 2025

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Tags

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Abstract

In fact, the world is currently witnessing a technical and technological revolution and successive developments in various fields, and one of the most important of these developments is artificial intelligence, which works to understand the complex operations that the human mind performs in its implementation of various operations, and then benefit from them in many fields, This has made it one of the most important pillars for achieving innovation. This is after artificial intelligence has become equipped with several forms of machine learning that recognize data patterns in order to enable predictions to be made, and for this AI may help in adding a value to design in general. Hence, the current study revolves around the capabilities and techniques of artificial intelligence and the extent to which they are used to stimulate the imagination of the designer and artist, and its effectiveness in enriching the creative side of the designer and artist, especially the designers of installation art.

DOI

10.21608/jdsaa.2023.221584.1317

Keywords

artificial intelligence, Installation art, Creativity

Authors

First Name

Yasmin

Last Name

El-attal

MiddleName

-

Affiliation

Faculty of Applied Art, Damietta University, Egypt.

Email

yasminesmat145@yahoo.com

City

Damietta

Orcid

-

Volume

5

Article Issue

1

Related Issue

44699

Issue Date

2024-01-01

Receive Date

2023-07-07

Publish Date

2024-01-01

Page Start

419

Page End

428

Print ISSN

2682-2148

Online ISSN

2682-2156

Link

https://jdsaa.journals.ekb.eg/article_333732.html

Detail API

https://jdsaa.journals.ekb.eg/service?article_code=333732

Order

32

Type

Original Article

Type Code

1,144

Publication Type

Journal

Publication Title

Journal of Design Sciences and Applied Arts

Publication Link

https://jdsaa.journals.ekb.eg/

MainTitle

The Effectiveness of Artificial Intelligence to Enrich Installation Art

Details

Type

Article

Created At

25 Dec 2024