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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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Digital transformation enablers in high-tech and low-tech companies: A comparative analysis

Australian Journal of Management. 2023. Vol. 48. No. 4. P. 801–843.
Titov S., Trachuk A., Linder N., Pathak R. D., Samson D., Husain Z., Sushil S.

Digital transformation (DT) is a complex, socio-technical, strategic, and often radical change influenced by various aspects, among which non-technological, organizational factors play significant roles. The literature on DT enablers suggests sensitivity to the organizational context, especially to the technology intensity of companies. This article analyzes the variations in non-technological DT enablers in high-tech and low-tech manufacturing companies. Through a systematic literature review, using coding techniques and cluster analysis, we created 20 aggregated enabler categories. With the Decision Making Trial and Evaluation Laboratory (DEMATEL) method, clustered DT enablers in high-tech and low-tech companies were compared. High-tech companies enable DT with the factors related primarily to organizational flexibility and dynamism. In contrast, low-tech firms propel DT with the enablers connected to more stable, traditional, managerial practices.

Research target: Economics and Management
Language: English
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Keywords: cluster analysisdynamic capabilityDEMATELmanufacturing transformationorganizational flexibilitytechnology intensitytransformation enablersdigital transformation
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