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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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Researching Online Museums: Digital Methods to Study Virtual Visitors

Ch. 7. P. 103–128.
Grincheva N.

This chapter focuses on the application of visitor studies methodologies to museums as cultural institutions that incorporate digital media into their cultural programming and social activities. It provides a comprehensive guide to three types of research methods employed by contemporary museums to study online visitors: quantitative, behavioral and qualitative. Illuminating how traditional museum visitor research tools informed emerging digital methods, the chapter describes important procedures of online museum audience studies. Step by step, three sections introduce more sophisticated online methods, which add new dimensions to the understanding of virtual visitors.

Language: English
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Keywords: digital museum

In book

Research Methods for the Digital Humanities
Levenberg l., Neilson T., Rheams D. Palgrave Macmillan, 2018.
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