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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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Robust estimation of cost efficiency in non-parametric frontier models

2017. No. 244.
Besstremyannaya G., Simm J., Golovan S.
The paper proposes a bootstrap methodology for robust estimation of cost efficiency in data envelopment analysis. Our algorithm re-samples "naive" input-oriented efficiency scores, rescales original inputs to bring them to the frontier, and then re-estimates cost efficiency scores for the rescaled inputs. We consider the cases with absence and presence of environmental variables. Simulation analyses with multi-input multi-output production function demonstrate consistency of the new algorithm in terms of the coverage of the confidence intervals for true cost efficiency. Finally, we offer real data estimates for Japanese banking industry. Using the nationwide sample of Japanese banks in 2009, we show that the bias of cost efficiency scores may be linked to the bank charter and the presence of the environmental variables in the model. A package `rDEA', developed in the R language, is available from the GitHub and CRAN repository.
Priority areas: economics
Language: English
Text on another site
Keywords: Data envelopment analysis (DEA)
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