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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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InGrid: Towards a Simulation-Based Automated Decision-Making System for Transportation

P. 982–986.
Stepanyants V.

Transportation systems are complicated and deal with significant problems. With the pool of possible solutions being wide, extensive transportation planning has to be involved. However, planning based on expert opinions is significantly limited in terms of rapidity, accuracy, and confidence. Computer-aided design and automated decision-making systems are the next step to ensure transportation system development alignment with solving persisting transportation problems. This paper analyses the functional requirements for a simulation-based automated decision-making system for transportation. Existing practices, needs, and limitations are assessed, and a comprehensive architecture for such a system is synthesized and described in detail. The proposed InGrid (Inductive Grid) automated decision-making system architecture includes a core simulation model, scenario configuration capabilities, verification and validation modules, automated decision and scenario configuration optimization, and continuous model validation. The obtained results can be used in the development of traffic control and transportation planning decision support systems.

Language: English
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Keywords: транспортная системаверификациякомпьютерное моделированиеsimulationverificationvalidationвалидацияCADСАПРавтоматизация принятия решенийпараметрическое моделированиеTransportation systemautomated decision-makingparametric modeling

In book

2025 International Russian Automation Conference (RusAutoCon)
IEEE, 2025.
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