Intellectual technologies and modeling for transformation of engineering tools : доклад, тезисы доклада

Khadueva Yakha; Deunezhev Zalim; Karabitsina Ekaterina

Дополнительные ссылки: eLibrary · Источник статьи

База данных: Каталог библиотеки СФУ

Библиографическое описание: Intellectual technologies and modeling for transformation of engineering tools : доклад, тезисы доклада / Y. Y. Khadueva, Z. Z. Deunezhev, E. E. Karabitsina. - [S. l. : s. n.], 2025. - Текст : непосредственный // ITM Web of Conferences : III International Workshop / Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-III 2024) (2024 ; 02.12 - 04.12 ; Krasnoyarsk). - Krasnoyarsk, 2025. - P. 2009. - This work was supported by the Ministry of Science and Higher Education of the Russian Federation (Grant No.075-15-2022-1121). - DOI 10.1051/itmconf/20257202009.

Аннотация: This study examines the transformative impact of artificial intelligence (AI) on engineering tools, focusing on key areas of innovation and advancement. The integration of AI has revolutionized user experience through seamless interaction and personalization, adapting interfaces to individual preferences and streamlining complex processes. The paper explores how AI, particularly natural language processing, has enhanced human-computer interaction in engineering software, allowing for more intuitive command inputs and intelligent data extraction. Additionally, it investigates AI's role in augmenting problem-solving capabilities, demonstrating its ability to tackle complex engineering challenges with increased efficiency and accuracy. A significant advancement discussed is generative design, which leverages AI algorithms to produce optimized structural configurations within given constraints. While highlighting the substantial benefits of AI in engineering tools, the study also addresses important limitations and challenges, including potential loss of user control, the need for careful prompt engineering, and the technology's limitations in handling novel or ambiguous situations. The paper concludes by emphasizing the need for a balanced approach in implementing AI in engineering tools, maximizing its potential while maintaining human oversight and expertise.

Год издания: 2025

Авторы: Khadueva Yakha , Deunezhev Zalim , Karabitsina Ekaterina

Издательство: Krasnoyarsk

Источник: ITM Web of Conferences

Номера страниц: 2009

Держатель оригинала документа: Kabardino-Balkarian State University, Kadyrov Chechen State University, Siberian Federal University

Мероприятие: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-III 2024) (Krasnoyarsk, 2024 ; 02.12 - 04.12)

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