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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Управление качеством проектирования изделий легкой промышленности через конфекционирование материалов в цифровой среде

Костюмология. 2022. Т. 7. № 1. С. 1–11.
Туханова В. Ю.

This article provides the study of the quality management of the light industry in the digital environment. The article deals with the process of the confectioning of materials for garments. It is considered with the modern scheme of supplying materials to enterprises of the Russian light industry. The author presents a diagram based on the analysis of the material confectioning process before the introduction of digital technologies. The goal is to study the quality indicators at all stages of the creation of light industry products, as well as to develop a methodology for designing the quality of garments in the digital environment. This research is a part of the doctoral dissertation. The article presents the results of an experiment by measuring the shrinkage of materials after ironing and washing. The purpose of the tests is to develop measures for the efficiency of an enterprise producing women's clothing under its own brand. The article presents a diagram of the analytics of the stages of the process of confectioning materials in a digital environment.

The algorithm for managing the quality of light industry products through materials packaging tools was implemented at an enterprise in Moscow as part of the Russian Federation's strategy for the transition to digital technologies in the production sector. The article substantiates that modern research in the field of introducing digital technologies into industrial production suggests that the next stage in the digitalization of processes will be to work on the implementation of artificial intelligence algorithms for the efficient operation of enterprises and competitiveness in the world market. The author proposes ways of introducing artificial intelligence technologies into the process of quality management in the garments design.

Research target: Chemical Technologies
Language: Russian
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Keywords: искусственный интеллектпроектированиетехнологияtechnologyquality managementуправление качествомdesignцифровая экономикаartificial intelligencedigital economygarmentsшвейные изделия
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