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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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Роль искусственного интеллекта в антикоррупционном рекрутинге

Научный результат. Серия: Технология бизнеса и сервиса. 2022. Т. 8. № 2. С. 94–107.
Krylova D., Maksimenko A.

This article analyzes in detail the technologies of artificial intelligence in the field of recruiting, taking into account the parameters of reliability, loyalty and honesty: in the context of the 4 stages of development of AI in the field of recruitment, the intellectual methods used in relation to each problem area of ​​recruitment are considered, the advantages of technological solutions of the most popular among users of recruiting platforms that use AI algorithms in their work, aimed at selecting the most honest and professional candidates. Based on the review of foreign studies given by the authors, it is possible to draw conclusions about the positive (speed and quality of the selection of applicants according to the requirements of employers) and negative (the risk of discrimination, a decrease in the perceived value of the company's brand) effects that are associated with the introduction of artificial intelligence in the system of search and selection of candidates. In the course of communication with representatives of the largest recruiting services using AI in the field of recruitment, the possibilities of intelligent solutions in predicting the success of candidates and determining their propensity for opportunistic and corrupt behavior were revealed.

Research target: Psychology Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: искусственный интеллектпротиводействие коррупцииartificial intelligenceanti-corruptionчат-ботchatbotanti-corruption recruitmentselection of honest employeesanti-corruption human resource managementантикоррупционный рекрутментотбор честных сотрудниковантикоррупционное управление человеческими ресурсами
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