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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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The Database of Cross-Linguistic Colexifications, reproducible analysis of cross-linguistic polysemies

Scientific data. 2020. Vol. 7. P. 13.
Rzymski C., Tresoldi T., Greenhill S., Wu M., Schweikhard N., Koptjevskaja-Tamm M., Gast V., Bodt T., Hantgan A., Kaiping G., Chang S., Lai Y., Morozova N., Arjava H., Hübler N., Koile E., Pepper S., Proos M., Van Epps B., Blanco I., Hundt C., Monakhov S., Pianykh K., Ramesh S., Gray R., Forkel R., List J.

Advances in computer-assisted linguistic research are greatly influencing and reshaping linguistic investigation. With the increasing availability of interconnected datasets created and curated by researchers, more and more interwoven questions can now be investigated. Such advances, however, are bringing high requirements in terms of rigorousness for preparing and curating datasets. In this work we present CLICS, a Database of Cross-Linguistic Colexifications which aims to both tackle interdisciplinary and interconnected research questions as well as showcasing best practices in preparing data for cross-linguistic research. This is done by addressing shortcomings of an earlier version of the database, CLICS2, and supplying an updated version with CLICS3 which massively increases the size and scope of the project. We provide tools and guidelines for this purpose and discuss insights resulting from organizing student tasks for database updates.

Research target: Philology and Linguistics
Priority areas: sociology IT and mathematics
Language: English
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Keywords: polysemycross-linguistic comparisonColexification
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