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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
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Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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Проектирование качества швейных изделий с применением искусственного интеллекта

Научный журнал «Костюмология» (Journal of Clothing Science), Российская Федерация. 2021. Т. 6. № 2. С. 1–14.
Туханова В. Ю.

This article provides an overview of existing methods for assessing the quality of garments at the stage of design. The article considers the absolute, product-oriented, consumer-oriented, producer-oriented and value-based approaches to classification of quality criteria for the design and manufacturing of light industry products. The author analyzed traditional models for assessing the quality of garments, including methods of expert assessments. The article deals with a set of indicators that determine the quality of garments. The list of indicators includes the perfection of the technical and aesthetic performance of the product, socio-economic indicators, functionality, functional reliability and safety of a garment. A conceptual model for designing the quality of a garment was developed by the author. The process is presented in the form of a function, the arguments of which are the organization of the process of designing and manufacturing a garment; garment manufacturing; confectioning of materials; garment operating conditions; garment’s design parameters; garment manufacturing technology; garment pricing; social factors. The article provides a rationale for using artificial intelligence technologies to solve the problems of selecting optimal design proposals, manufacturing technology, materials and other parameters. The article also considers possibilities of a three-dimensional clothing design digital platform, which contains a range of technical characteristics that ensure the implementation of a conceptual model for designing a garment quality, including design and technological documentation for the production of a batch of products; artistic-aesthetic and physical-mechanical properties of materials; garment’s design parameters; garment pricing in terms of the materials and accessories costs. The author proposes ways of introducing artificial intelligence technologies into the process of quality assessment in the garments design.

Research target: Materials Technologies Engineering and Technology
Priority areas: engineering science
Language: Russian
Full text
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Keywords: проектированиетехнологияtechnologydesignquality качествоartificial intelligenceигровой искусственный интеллектgarmentsquality assessment methodsшвейные изделияметоды оценки качества
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