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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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Корпусно-когнитивные методы обучения лексической стороне речи на иностранном языке. (рубрика:"Корпусные исследования как доказательная база когнитивной лингвистики") //Материалы Международного конгресса по когнитивной лингвистике Главный редактор серии: Н.Н. Болдырев, ответственный редактор выпуска: Т.А. Клепикова. - Том. Выпуск XXII. Язык и сознание в междисциплинарной парадигме исследований

Когнитивные исследования языка. 2015. № 22. С. 552–554.
Gorina O. G., Павловская И. Ю.

The paper deals with independent, discovery-provoking corpus-based and data- driven approaches in language learning and teaching, cognitive studies and corpora research serving as theoretical basis for them. We discuss corpus-based methods for the study of multifaceted lexical units such as collocation, colligation, lexical bundles and chunks, as well as linguistic hedging, manifesting itself at various levels of linguistic analysis. The research has been done on the material of the English language.

Priority areas: humanitarian
Language: Russian
DOI
Text on another site
Keywords: когнитологиялексический подходLexical approachчанки языка COGNITIVE STUDIESDISCOVERY APPROACHLEXICAL BUNDLESCHUNKSCORPUS-BASED LEARNING AND TEACHINGкорпусная лингводидактикаэвристический подходколлокационно-коллигационный профильлексические пучки
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