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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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Влияние прямых иностранных инвестиций на внутренние инвестиции в российской экономике

Вопросы экономики. 2020. № 5. С. 69–85.
Drapkin I. M., Лукьянов С. А., Бокова А. А.

The paper is devoted to the empirical estimation of the effects of foreign direct investment (FDI) on domestic investment in the Russian economy. The results suggest that there are crowding-out effects of FDI on the Russian economy. Using the firm-level database for 2008—2017, we analyze the presence of foreign companies in the Russian economy on the region, industry and industry in region levels. On the regional level the statistically significant effects of crowding out domestic investment are identified for state-owned, large as well as less effective companies. On the industry level the negative effects of crowding out are observed in case when FDI share in the industry exceeds 25. Estimating the effect of FDI presence on the industry in the region level, we reveal crowding out effects mainly for private and more effective national companies. Analyzing the effects in case of different levels of FDI in the economy, we do not find support for the hypothesis of adaptation of national companies for foreign companies’ presence in the economy. The paper suggests that the government policy in FDI regulation should focus on mitigation of the effects of pushing national companies off the market, and also creating conditions for cooperation of foreign and domestic companies.

Research target: Economics and Management
Language: Russian
Full text
DOI
Keywords: foreign direct investmentпрямые иностранные инвестицииdomestic investmentFDI spilloversвнешние эффекты от ПИИнациональные инвестиции
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