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Subject
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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Экономика Рунета: Исследование экономики рынков интернет-сервисов и контента в России 2013-2014

M. : 2014.
Гребенников С., Казакулова Г. Р., Левова И., Logunova O., Петухова С., Плуготаренко С., Sherstoboeva E.
Leading author: Davydov S. G., К. Казарьян
Chapters
Законодательное регулирование Рунета
Sherstoboeva E., В кн.: Экономика Рунета: Исследование экономики рынков интернет-сервисов и контента в России 2013-2014.: М.: [б.и.], 2014.
Данная глава анализирует тенденции развития индустрии Рунета в контексте изменений российского законодательства. Она призвана показать то, как индустрия Рунета реагирует на новые правила регулирования отношений в Рунете. Первая часть главы тезисно рассматривает основные нововведения шести законов, направленных на регулирование отношений в Рунете – антипиратского, блогерского законов, закона о борьбе с экстремизмом в Интернете, законов о ...
Added: December 22, 2014
Research target: Philology and Linguistics Economics and Management Mathematics Sociology (including Demography and Anthropology
Priority areas: economics sociology management state and public administration law humanitarian
Language: Russian
Full text
Keywords: интернет-экономикаэкономика РунетаРунетинтернет
Publication based on the results of:
Экономика Рунета - 2012 (2012)
Экономика Рунета: Исследование экономики рынков интернет-сервисов и контента в России 2013-2014
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Как понять, хорош адвокат или нет? В данной статье мы описываем методологию, позволяющую измерять качество юридической помощи через разницу между тем, что предсказывает модель машинного обучения по объективным характеристикам дела, и тем, чем дело закончилось в реальности. Мы исходим из предпосылки, что если у адвоката дела стабильно заканчиваются лучше ожидаемого, то он делает свою работу хорошо. ...
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Discrete Markowitz Portfolio Optimization with Open-Source Classical and Quantum-Inspired Solvers: A Cross-Market Walk-Forward Study
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Hybrid Competition under Fragmented Demand and Limited Consumer Choice
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Gurkov I. B., Kossov V. V., Filinov N. et al., / NRU Higher School of Economics. Series MAN "Management". 2026. No. N/A.
This research note is devoted to assessing the socioeconomic impact of sanctions of sanctioned countries and uses the data on Russia in 2022-2024. We use for the analysis four fundamental socioeconomic parameters-the expected length of life of males at birth, the misery index (Okun's index), the level of Gross Domestic Product at purchasing parity prices, ...
Added: June 11, 2026
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Kravtsova M., Musaev A. U., Welzel C., / Series "SSRN Working Paper Series". 2026.
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Kudriavtseva E., / РЦИС. Серия № 0148-756-286. 2026.
The content of the work is the system is a system for identifying four types of written speech structures. A set of 11 calculated parameters, statistical standards, and semantic characteristics allows for the identification of a text's structure as the result of a specific cognitive schema (scene, event, story, evaluation). The method has been verified ...
Added: June 2, 2026
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