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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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Внешние и внутренние условия реализации практик удержания талантов в организациях: сравнительный анализ

Организационная психология. 2020. Т. 10. № 1. С. 62–88.
Mondrus O., Мартихина С. Д., Osipova A.

Purpose. The purpose of the paper is to identify the external and internal factors which lead to the formation of talent retention practices in organizations operating in the territory of Russia. The research involves 21 companies — representatives of eight industries and five countries. Methodology. The research is based on a mixed methodology. In addition to theoretical analysis and identification of external and internal factors that influence the formation of talent retention practices, the authors conduct a multiple case study to evaluate an organizational context of talent retention practices in the companies. To analyze the data, both qualitative and quantitative methods are used. Findings. As the results of the research, it is shown that with respect to the talent retention practices, the role of the innovative component in an organization’s business model or the role of the stability of the results lead to the formation of two clusters of talent management system configurations. Companies which focus on creating an innovative product / service demonstrate the talent-centered talent management system configurations with blurred, fuzzy boundaries. In such organizations, the talent retention practice is not distinguished as a separate one and does not have clear boundaries but manifests itself through the other talent management practices. Companies that focus on the implementation of integrated solutions and products restricted by sectoral, state and other standards, the talent management system configurations are outlined, with predetermined performance indicators. In organizations of this type, a clearer identification of the boundaries of talent retention practices might be observed, as well as toolkit and criteria by which organization’s leaders determine and identify talents and the principles of their retention. Value of results. As part of the research, the authors for the first time have introduced a numerical scale for analyzing and interpreting the talent management system configuration. The scale made it possible to distinguish two clusters of the organizations from the point of formation of talent retention practices. The further usage the scale provides grounds for preliminary analysis of the talent management system configuration in the company, makes it possible to determine practices connected to each other, and to identify areas for the further development of talent management in the organization.

Research target: Economics and Management
Priority areas: management
Language: Russian
Text on another site
Keywords: organizational contextорганизационный контекступравление талантамиtalent managementtalent retentionconfiguration of a talent management systemудержание талантовконфигурация системы управления талантами
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