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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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Инфраструктура поддержки студенческих предпринимательских инициатив в вузах: российский ландшафт

Т. 70. Вып. 2. Higher School of Economics Publishing House, 2023.
Sorokin P., Chernenko S., Vyatskaya Y.

The report is devoted to the analysis of measures of infrastructural support of student entrepreneurial initiatives in Russian universities. The contribution to the success of the main infrastructure elements of entrepreneurship support was assessed: educational opportunities, business incubator, accelerator, startup studios, communities, etc. The information openness of support measures through the official websites of universities is considered. The study is based on two samples: 1) a sample of 48 Russian universities (51 units of analysis, taking into account the HSE campuses); 2) the data of the MEE survey of 2022 on a sample of students of Russian universities of full-time undergraduate and specialist studies. The analysis is based on the analysis of university websites, as well as survey data of respondents regarding the development opportunities of student entrepreneurship.

Research target: Education
Language: Russian
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Keywords: бизнес-инкубаторentrepreneurshipтехнопаркtechnoparkстуденческое предпринимательствоacceleratorакселераторStudent entrepreneurshipBusiness incubatorПредпринимательствоuniversity infrastructurestartup studioинфраструктура вузовстартап-студия
Инфраструктура поддержки студенческих предпринимательских инициатив в вузах: российский ландшафт
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