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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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?

Transformation of Russian Electricity Market Model after the Implementation of Blockchain Technology

P. 74–77.
Serova E., Айрапетян И. А., Колмыченко Д. О.

The  study  focuses  on  the  theoretical  implementation  of  blockchain  technology  in  Russian  electricity 
market.  The  authors  attempt  to  model  Russian  electricity  market  schemes  before  and  after  the 
implementation of blockchain along with its evaluation. The key findings of the research are the decrease 
in the number of market participants and the reduction of electricity price in the blockchain-based market 
model,  which,  in  turn,  is  estimated  to  be  more  efficient  than  the  traditional  one.  The  efficiency 
calculations are made through the Fuzzy Inference System based on fuzzy logic.  

Language: English
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Keywords: fuzzy logicRussian electricity marketblockchain technologytransformation of the market model

In book

Conference Proceedings GSOM Emerging Market Conference 2018
Conference Proceedings GSOM Emerging Market Conference 2018
St. Petersburg: St. Petersburg University, 2018.
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