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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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Focus on vocabulary. Экономика материальных и нематериальных активов: корпусный словарь и ИИ-упражнения по английскому языку

СПб. : Asterion, 2026.
Gorina O. G., Kucherenko S., Larisa K., Думанов М. М.

This textbook is an integrated teaching and learning resource for English for Specific Purposes (ESP) in the field of economics of tangible and intangible assets. Its design employs (i) modern corpus linguistics methods, including frequency analysis and keyword extraction based on authentic texts reflecting current trends in professional discourse, and (ii) artificial intelligence technologies for automated generation of didactic materials. The textbook provides a lexical core that ensures comprehension of the course topics, as well as an exercise system built using large language models (LLMs) and statistical analysis of linguistic data. The publication is aimed at students of economics, teachers of English for Specific Purposes (ESP), and researchers in applied linguistics and corpus studies. The materials can be used within CLIL (Content and Language Integrated Learning) programmes and for designing academic courses in professionally oriented foreign languages.

Research target: Philology and Linguistics
Language: Russian
Sample Chapter
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DOI
Keywords: корпусная лингвистикаактивная лексикаEnglishупражнения по курсу китайского языкаАнглийский язык в бизнесе и экономикеActivitieslexical unitsArtificial Intelligenceгенеративный искусственный интеллект в образованииEconomics of Tangible and Intangible AssetsCorpus Linguisticsэкономика материальных и нематериальных активов
Publication based on the results of:
Исследование частотных характеристик языка в рамках распределения Ципфа-Мандельброта; решение прикладных задач по отбору вокабуляра в русле корпусных процедур (2023)
Focus on vocabulary. Экономика материальных и нематериальных активов: корпусный словарь и ИИ-упражнения по английскому языку
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