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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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Цифровая трансформация в отраслях обрабатывающей промышленности России: результаты конъюнктурных обследований

Вестник Санкт-Петербургского университета. Серия 5. Экономика. 2020. Т. 35. № 4. С. 628–657.
Lola I. S., Bakeev M.

The spread of digital technologies in the economy changes production processes and used business models. The technologies associated with the fourth industrial revolution, such as the industrial Internet of Things and additive manufacturing, have a significant impact on the production cycle in the manufacturing industry.

Based on short-term and medium-term entrepreneurial opinions and intentions, the work reflects the key aspects of the digitalization process in Russian enterprises, using the method of conjuncture observations and surveys, which supplements the methods of quantitative statistics. On this basis, taking into account the differentiation of the manufacturing industries into low-, medium- and high-tech, a set of trends in the digital technologies development, the industrial participation in digital transformation in the forms of the business processes digitalization and the digitalization of labor, as well as many other important indicators not measured or only partially measured by quantitative statistics is presented. For all the industries, factors hindering digital transformation were identified and ranked.

In general, a survey of managers showed a significant variation in entrepreneurial judgment regarding most aspects of the production digitalization. Despite the fact that the transition to Industry 4.0 is taking place in Russia on the background of rather unfavorable trends in the business climate, the resulting opinions allow us to state that progress is obvious, though the level of immersion into digitalization processes is not yet deep. Consideration of digital activity from the point of industrial separation view, as well as taking into account the classification of industries as low-, medium- and high-tech, allowed us to identify the industrial features of the digital transformation. In particular, it was shown that some technologies, such as the industrial Internet of Things, were predominantly distributed in the medium and high-tech segment, while others, such as 3D printing and RFID tags, were represented in most manufacturing industries.

The main promising areas for continuing research on digital transformation in the Russian manufacturing include expanding the conjuncture observation program by including other industries in it, the development of appropriate composite indicators, an analysis of the relationship between economic indicators and digitalization, a foresight study of the qualitative aspects of digital transformation.

Research target: Economics and Management
Priority areas: economics
Language: Russian
Full text
DOI
Keywords: обрабатывающая промышленностьmanufacturing industryцифровые технологиицифровизацияdigitalizationdigital technologiesконъюнктурные наблюденияцифровая активностьdigital activitydigital investmentdigital strategyconjuncture observationsцифровые инвестициицифровая стратегия
Publication based on the results of:
Monitoring of business climate, economic sentiment and digital activity in the Russian economy (2019)
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