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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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Российская модель использования ИИ в цифровых экосистемах медиакоммуникационной индустрии

Вестник Московского университета. Серия 10: Журналистика. 2025. № 5(50). С. 23–53.
Vartanov S., Tyshetskaya A.

Media has been at the forefront of digital transformation in recent years: not only have the methods of creating, selling, storing, and consuming media content and media services changed, but also the structure of the media communication industry (MCI) itself. Considering its new structure and subjectivity, one cannot help but pay attention to artificial intelligence (AI) technologies that manifest themselves in the areas of communication, content generation, and processing of big data created by users in media communications processes. AI as a set of relevant technologies and related social relations has become an important characteristic of media communications, influencing the interactions of the subjects actively existing in them. In this context, digital ecosystems (DES), which have become key actors structuring the MCI and the digital media environment, are of particular interest. It was AI technologies that played a decisive role in the transformation of media platforms into media DES; therefore, the current research issue to which this article is devoted is the analysis of their contribution to the AI transformation of the whole media communication industry. The conducted analysis of data on the functioning and genesis of AI technologies in the Russian MCI allowed us to identify two qualitatively different models of the use and development of AI technologies in it: an ecosystem model based on leadership and extensive market capture and a media model focused on optimization through AI solutions of internal processes.

Research target: Media and Communications Computer Science
Language: Russian
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Keywords: media communicationмедиакоммуникацияdigital ecosystemцифровая экосистемаmedia platformмедиаплатформаartificial intelligence in mediadigital and social mediaискусственный интеллект в медиацифровые и социальные медиа
Publication based on the results of:
Исследование цифровых экосистем как новых субъектов медиакоммуникационной индустрии и элементов национальной медиасистемы (на основе разработки кейсов Яндекс и VK) (2025)
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