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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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Internet Regulation Media Coverage in Russia: Topics and Countries

P. 359–363.
Shirokanova A., Silyutina O.

Russia first introduced Internet regulation in 2012 with site blockings and then progressed to personal data retention and ban on VPNs. This makes an interesting case because online media had spread and established a parallel political agenda in Russia in the 2000s, before the onset of regulations. The focus of this study is the contents and dynamics of media coverage of Internet regulation in Russia over years, particularly the topics covered and the countries involved. It uses topic modeling and social network analysis to analyze 6,140 texts from Russia's largest mass media collection. The automatic modeling approach helps obtain reproducible evidence on the structure and actors of the otherwise highly politicized discourse. The study demonstrated, first, the growing interest of Russian media to Internet regulation, with comparable shares of state-controlled and private media in this discourse. Second, it revealed the structure of 50 topics arranging into nine clusters, from gambling to international relations, with one dominant network segment spanning over five clusters. Third, it identified groups of countries by their appearance in the texts and co-appearance in one text as 'communities' of countries that can 'put on the map' the discourse on certain topics of Internet regulation in Russia.

Language: English
Full text
DOI
Keywords: mass mediaмассмедиатематическое моделированиеtopic modellingрегулирование ИнтернетаInternet regulation
Publication based on the results of:
Cultural factors of and barriers to modernization (2018)

In book

WebSci'18 Proceedings of the 10th ACM Conference on Web Science
NY: ACM, 2018.
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