Intelligent art: the fusion growth of artificial intelligence in art and design

Q3 Mathematics

International Journal for Simulation and Multidisciplinary Design Optimization Pub Date : 2022-01-01 DOI:10.1051/smdo/2022015

Xiaojun Zheng, D. Bassir, Yue Yang, Zheng Zhou

引用次数: 1

Abstract

This article focuses on the study of intelligent art resulting from the fusion growth of artificial intelligence and art, and proposes the process of collision and integration between them. At the same time, this paper explores the space and possibility of the fusion development of AI and art, illustrates how technology reconstructs and further inspires art design innovation. Beijing Winter Olympics opening ceremony is selected as an example, to underline the application of AI technology in large-scale visual art design. In addition, it summarizes also the advantages and limitations of AI applications in art, analyzes the opportunities and challenges facing the integration of such technology and art, and discusses their future development and outlook.

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智能艺术:人工智能在艺术与设计中的融合成长

本文重点研究人工智能与艺术融合成长所产生的智能艺术，并提出两者碰撞与融合的过程。同时，探索人工智能与艺术融合发展的空间和可能性，说明技术如何重构并进一步激发艺术设计创新。以北京冬奥会开幕式为例，强调人工智能技术在大型视觉艺术设计中的应用。此外，总结了人工智能在艺术领域应用的优势和局限性，分析了人工智能技术与艺术融合所面临的机遇和挑战，并探讨了人工智能在艺术领域的未来发展和展望。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal for Simulation and Multidisciplinary Design Optimization Mathematics-Control and Optimization

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

16 weeks

期刊介绍： The International Journal for Simulation and Multidisciplinary Design Optimization is a peer-reviewed journal covering all aspects related to the simulation and multidisciplinary design optimization. It is devoted to publish original work related to advanced design methodologies, theoretical approaches, contemporary computers and their applications to different fields such as engineering software/hardware developments, science, computing techniques, aerospace, automobile, aeronautic, business, management, manufacturing,... etc. Front-edge research topics related to topology optimization, composite material design, numerical simulation of manufacturing process, advanced optimization algorithms, industrial applications of optimization methods are highly suggested. The scope includes, but is not limited to original research contributions, reviews in the following topics: Parameter identification & Surface Response (all aspects of characterization and modeling of materials and structural behaviors, Artificial Neural Network, Parametric Programming, approximation methods,…etc.) Optimization Strategies (optimization methods that involve heuristic or Mathematics approaches, Control Theory, Linear & Nonlinear Programming, Stochastic Programming, Discrete & Dynamic Programming, Operational Research, Algorithms in Optimization based on nature behaviors,….etc.) Structural Optimization (sizing, shape and topology optimizations with or without external constraints for materials and structures) Dynamic and Vibration (cover modelling and simulation for dynamic and vibration analysis, shape and topology optimizations with or without external constraints for materials and structures) Industrial Applications (Applications Related to Optimization, Modelling for Engineering applications are very welcome. Authors should underline the technological, numerical or integration of the mentioned scopes.).