Issue |
ITM Web Conf.
Volume 72, 2025
III International Workshop on “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-III 2024)
|
|
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Article Number | 02009 | |
Number of page(s) | 9 | |
Section | Applications of AI and Complex Systems in Various Domains | |
DOI | https://doi.org/10.1051/itmconf/20257202009 | |
Published online | 13 February 2025 |
Intellectual technologies and modeling for transformation of engineering tools
1 Kadyrov Chechen State University, Grozny, Russia
2 Kabardino-Balkarian State University, Nalchik, Russia
3 Siberian Federal University, 79, Svobodny Prospect, Krasnoyarsk, 660049, Russia
* Corresponding author: yakha@chesu.ru
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.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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