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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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Talent Management Practices in IT Companies from Emerging Markets: A Comparative Analysis of Russia, India, and China

Journal of East-West Business. 2016. Vol. 22. No. 3. P. 168–197.
Latukha M., Selivanovskikh L.

In this article, the authors review talent management practices in information technology (IT) companies from Russia, India, and China, discussing their differences and similarities. Using the emerging market context, the authors debate the factors influencing talent management, specifically in IT companies. The article examines the relevant research on the main talent management issues in Russia, India, and China, and offers one of the first intercountry comparative analyses of talent management practices in IT companies from emerging markets. The authors argue that although talent management practices are influenced by different institutional and cultural factors, there are similarities and differences that can be explained by the emerging market and industry-specific contexts.

Research target: Economics and Management
Priority areas: management
Language: English
DOI
Text on another site
Keywords: RussiaChinaIndia emerging marketstalent management Information technology
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