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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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The Interaction of Several Languages in the Cognitive System

NRU Higher School of Economics , 2015. No. WP BRP 40/PSY/2015.
Spiridonov V., Ezrina E. V.
In this paper, we look into the interaction of several languages in a multilingual language system. Studies of three or more language-speakers are not common, with most research focused instead on various aspects of bilingualism. We believe, however, that research of processes happening when several (i.e. more than two) languages are used could provide the existing body of research with additional data about language interaction. In this study, we attempt to evaluate a multilevel network model shared between several languages which integrates lexical, semantic and syntactic information. To this end, we proposed an experimental paradigm in which trilingual participants translate phrases and sentences from their Language 2 to Language 3 (and vice versa) while they are primed subliminally with single words in Language 1. We planned to carry out a series of experiments where we manipulate the type of primes as well as the type of phrases and sentences. We hypothesized that Language 1 primes will interfere with the translation between Languages 2 and 3 leading to longer translation times and the amount of interference would vary in different conditions. Our hypotheses were confirmed only in part for some stimuli but not for others. The implications of these results for the existing models and theories are discussed
Priority areas: humanitarian
Language: English
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Keywords: билингвыnetwork modelsтрилингвыMultilingualstrilingualsparallel non-selective accesssyntactic nodessubliminal primingсетевая модельнеизбирательный доступсинтаксические и семантические узлысублиминальный прайминг
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