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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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Linked data paradigm for enterprises: information integration and value chain

Business Informatics. 2013. No. 2(24). P. 3–12.
Maltseva S. V., Hladky D.

Data integration in enterprises is a crucial but at the same time costly and challenging problem. While business-critical information is stored in ERP, CRM, SCM and in Content Management systems the integration of such becomes even more critical when integrating with the growing information space on the Web. The IT industry has developed over the last decade integration solutions based on Master Data Management, Business Intelligence and the Service Oriented Architecture. However, we become increasingly aware that such technologies are not sufficient to ultimately solve all data integration challenges. Under the vision of context-aware services and integration we propose to apply the technology of the Linked Data paradigm. This approach seems to be promising, as scientists in the evolution of the Semantic Web have used it. We discuss Linked Data approaches in relation to the value chain and information integration of heterogeneous content and present an example of a CRM business process applying the Linked Data principles.

Research target: Law Economics and Management
Priority areas: IT and mathematics business informatics
Language: English
Full text
Keywords: Связанные данныеLinked DataRDFvalue chaininterprise data integrationlinked open dataData Webинтреграция данных предприятияданные WebОткрытые связанные данныеЦепочка добавленной стоимости
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