Жарияланымдар / Публикации

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  • Некоторые метрики заблокированы вашими 
    Тип записи:Публикация,
    Interactive installations and innovative design solutions using artificial intelligence
    (2025-10-08)
    Viktor OSADCHIY
    ;
    Olga Galchynska
    ;
    ;
    Karolina Kasianenko
    ;
    Iryna Krasylnykova
    Artificial intelligence (AI) technologies have increasingly penetrated the field of modern design, particularly in the creation of interactive installations. This study aimed to analyze the impact of AI-generated interactive installations on user experience and aesthetic perception. The research employed a comparative approach, content analysis, and case study methodology. A total of 50 scholarly sources were collected and analyzed using the PRISMA protocol to ensure systematic selection and review. The findings demonstrated that key AI tools used in interactive installations include generative adversarial networks (GANs), variational autoencoders (VAEs), computer vision systems, natural language processing (NLP), behavioral analytics, and adaptive machine learning algorithms. These tools, while powerful, require high levels of digital competence, precise configuration, and substantial financial investment. Case analyses of installations such as Living Light, The AI Van Gogh Museum, AI-Driven Storefront, and AI Classcape revealed the following benefits: enhanced interactivity, user personalization, innovative use of AI capabilities in aesthetic experiences, and the emergence of AI as a co-author in artistic creation. AI-driven interactive installations offer significant potential in design and digital art. However, their effectiveness is currently limited by the lack of intuitive human-like creativity, reliance on pre-programmed datasets, and the cost of implementation. The results highlight both the transformative potential and the current limitations of AI as a creative agent in modern design environments.
  • Некоторые метрики заблокированы вашими 
    Тип записи:Публикация,
    USING ARTIFICIAL INTELLIGENCE IN THE CREATION OF ORNAMENTS AND DECORATIVE COMPOSITIONS
    (T.K. Zhurgenov Kazakh National Academy of Arts, 2025-12-20) ;
    Ainur Taldybayeva
    The rapid development of digital technologies opens new horizons for the design of ornament and decorative compositions. Today, artificial intelligence (AI) is not only a tool for automation but also a full-fledged creative partner for artists, designers, and architects. Its capabilities enable it to model unique forms, transform traditional ornamental elements, and adapt them to contemporary trends in visual culture. This study examines the use of machine learning algorithms and generative neural networks (Generative Adversarial Networks, Diffusion models, etc.) in developing new decorative solutions based on both classical motifs and innovative artistic concepts. The aim of the article is to identify the potential of AI in ornamental and decorative art, demonstrate its capabilities for creating original compositions, and define the prospects for integrating AI into the professional practice of artists and designers. Research objectives: To analyze existing methods of AI application in generative design. To consider examples of neural networks applied in creating ornaments based on ethnic, natural, and abstract motifs. To reveal the advantages and limitations of AI compared to traditional methods of decorative art. To determine the prospects for synthesizing cultural heritage and modern technologies in ornamental creativity. Scientific novelty lies in a comprehensive analysis of AI’s role in the artistic process: from idea generation and motif stylization to the creation of holistic decorative compositions. Unlike the traditional understanding of ornament as a fixed set of forms, AI enables the development of dynamic, adaptive ornaments that can interact with architectural space or user preferences. Moreover, neural networks enable the recreation, reinterpretation, and integration of lost cultural patterns into modern design solutions. Thus, the use of AI in creating ornaments and decorative compositions contributes not only to the development of new artistic practices but also to the preservation of cultural heritage, expanding the boundaries of interaction between tradition and innovation. The scientific significance of this study lies in its comprehensive analysis of the role of artificial intelligence in the artistic process, from idea generation and motif stylization to the creation of entire decorative compositions. Unlike the traditional understanding of ornament as a set of fixed forms, artificial intelligence enables the creation of dynamic, fluid, and adaptive ornaments that can interact with the context of an architectural space or the user's wishes. The practical significance of the study lies in the direct application of its findings in professional practice, industry, education, and production. The obtained results demonstrate the possibility of recreating lost cultural patterns of ornament and decorative compositions using artificial intelligence, interpreting them in various ways, and integrating them into contemporary design solutions. Thus, the use of artificial intelligence in the creation of ornament and decorative compositions contributes not only to the development of new artistic practices but also to the preservation of cultural heritage, expanding the boundaries of interaction between tradition and innovation.