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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
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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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University Teaching Load Distribution Algorithm

P. 152–155.
Vladlena D. Markvirer, Ekaterina A. Karnaukhova

This article presents an overview of the main algorithms used in resource distribution problems. The description, input and output data, as well as peculiarities and complexity of these algorithms are considered. The paper proposes a modified algorithm for finding vapor combinations in a graph, which allows solving the problem of optimal load distribution between the teachers of a structural subdivision of the university and the disciplines that this subdivision is obliged to implement in an academic year. The need for modification of the algorithm is argued by the unevenness and variability of the subject area, multi-criteria load assignment and the need to take into account subjective characteristics of the decision on allocation.

Language: English
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Keywords: graph algorithmsteaching load distributiongraph algorithms application

In book

023 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS)
023 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS)
Petrozavodsk: IEEE, 2023.
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