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Subject
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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Поп-культура, фэндомы и нейросети: фанаты встречаются с ИИ

Мониторинг общественного мнения: Экономические и социальные перемены. 2024. № 5. С. 183–202.
Nim E.

The article is dedicated to the analysis and conceptualization of the processes of dissemination of AI technologies in fan culture. The author examines fandoms as mediatized creative communities, reveals the relationship between artificial intelligence and fan culture, and identifies the practices of generative AI reception using the example of two fan communities (the Fandom wiki platform and the Archive of Our Own fan works repository). The article highlights the main lines of intersection between AI and fandom: AI technologies modify objects of fan interest; change the space, structure and creative practices of fandoms; are integrated into innovative fan services; are used for fandom analytics; foreground issues of ethics and law in participatory cultures. The expansion of artificial intelligence (neural networks in particular) has caused a polarization of fandom: while some fans actively use neural networks to edit and create content, others consider it inappropriate. Preliminary observations in two fan communities showed that critical and protest fan discourses around generative AI are focused on three ideas: a) the use of AI contradicts the concept of fandom; b) today's AI as a technology is imperfect; c) current practices in AI training and application are unethical. The article outlines further prospects for studying the interaction of fandoms with artificial intelligence, which will expand the boundaries of both fan studies and social studies of AI.

 

 

Research target: Media and Communications
Language: Russian
DOI
Text on another site
Keywords: искусственный интеллектpopular cultureпопулярная культураfan cultureгенеративный ИИ artificial intelligenceфэндомыfandomsgenerative AIфан-культура
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