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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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BI-системы: повышение качества принятия инвестиционных решений

Проблемы теории и практики управления. 2009. № 7. С. 90–95.
Зайнашев Т. М.

In big oil and gas companies information problems emerging in investment decision-making are important today. Among these decisions are: the choice of most efficient projects from the investment portfolio and designing the company's investment program. Components of SAP Netweaver BI 7.0 software system are regarded and the decision-making architecture aimed at collecting, processing and saving data in the data bank in order to subsequently form analytical OLAP reports providing support and increasing investment decision-making quality are regarded.

 

Research target: Economics and Management Computer Science
Priority areas: management business informatics
Language: Russian
Keywords: топливно-энергетический комплексоценка эффективности проектовfuel and energy complexinvestment programOLTP-systemBI-systemassessment of effectiveness of projectsинвестиционная программаOLTP-системаBI-система
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