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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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Борьба без надежды: Общественные представления о способах противодействия фейковым новостям

Полития: Анализ. Хроника. Прогноз. 2025. № 3. С. 108–126.
Kazun A. D., Petrova D.

The fake news raises concerns among both researchers and news consumers. This article, based on 119 interviews, examines public perceptions of measures to counter disinformation. Informants view fake news as a phenomenon posing a significant social threat. However, there is widespread skepticism about the possibility of completely eradicating fake news, which is attributed to the structure of the media environment and human nature — factors that, according to the interviewees, cannot be fundamentally changed. Nevertheless, the necessity of implementing a wide range of measures to mitigate the harmful effects of fake news is emphasized, ranging from improving media literacy to legislative regulation or even censorship. Responsibility for combating fake news is seen as collective rather than individual, and as personalized rather than automated or algorithmic. Informants identify a variety of actors who should be involved in countering disinformation, including the state, news consumers, journalists and media organizations, platforms and social networks, and regulatory bodies (both existing and proposed). Success, according to the informants, can only be achieved through joint efforts. Notably, opinions on the state's role vary depending on the informants' political views. Automated tools for combating fake news—such as verification algorithms and fact-checking websites—are rarely mentioned and remain peripheral to the public discourse. Overall, informants argue that the fight against fake news must be systemic, focusing not on immediate corrective measures but on broader, long-term transformations.

Research target: Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration Media and Communications
Language: Russian
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Text on another site
Keywords: медиапотреблениецифровое обществоdisinformationдезинформацияfake newsфейковые новостиmedia consumption
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