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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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Abstracting concepts from text documents by using an ontology

P. 20–31.
Artemova E., Чугунова О. Н., Аскарова Ю. А., Nascimento S., Mirkin B.
A method for computationally visualizing and interpreting a text or corpus of texts in a
taxonomy of the field is described. The method involves such stages as matching taxonomy
topics and text(s) by using annotated suffix trees (ASTs), combining multiple information such
as text abstracts, key-words and taxonomy cross-references, building clusters of taxonomy topics
and their profiles, and lifting the profiles to higher ranks of the taxonomy hierarchy.
Language: English
Full text
Keywords: Taxonomysuffix treeconceptual clustering

In book

CDUD – 2010: International Workshop on Concept Discovery in Unstructured Data
M.: Higher School of Economics Publishing House, 2011.
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