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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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CEUR-WS The proceedings of Proceedings of the Workshop on Computer Modelling in Decision Making (CMDM 2016)

Vol. 1726. Aachen : CEUR-WS, 2016.
Academic editor: T. Belkina, S. Islyaev, Mkhitarian V., S. Sidorov

This volume contains the papers presented at CMDM 2016: The Workshop on Computer Modelling in Decision Making held on November 10{11, 2016 in Sara- tov. The CMDM 2016 workshop brings together researchers, postgraduate stu- dents and academics interested in computer and mathematical modelling in de- cision making in di erent areas. The CMDM 2016 workshop's main topic is computer and mathematical modelling in decision making in nance, insurance, banking, economic forecasting, investment and nancial analysis. The workshop takes place in Saratov State University (Saratov, Russia) on the 10th and 11th of November 2016 and is co-organized with the Central Bank of the Russian Fed- eration and the Department of Statistics and Data Analysis of Higher School of Economics (Moscow, Russia). The workshop is co-located with the V International Youth Research and Practice Conference on Mathematical and Computer Modelling in Economics, Insurance and Risk Management, Saratov, Russia, November 10{11, 2016. Fifteen papers were submitted and ten papers were accepted for presentation at the workshop after a careful peer reviewing process with discussions among reviewers and members of the program committee. Each paper was reviewed by at least two reviewers or members of the program committee. We would like to thank all reviewers for their helpful e orts. The CMDM 2016 workshop has been nancially supported by the Russian Fund for Basic Research (grant 16-31-10296). The EasyChair system has been used to manage the submissions, reviewing, and proceedings production and we would like to express our gratitude to the sta of EasyChair system for support.

Chapters
Econometric Modeling of the Parameters Actuarial Model of Net Rates for Life Insurance of the Population of Region
Mkhitarian V., Mikhaylova S., , in: CEUR-WS The proceedings of Proceedings of the Workshop on Computer Modelling in Decision Making (CMDM 2016)Vol. 1726.: Aachen: CEUR-WS, 2016. P. 69–80.
The article analyzed and solved the problems of constructing mortality tables and determining the amount of payment for the foreseeable future, which are relevant in connection with the development of the classical life insurance in Russia and the growing role of methodological developments aimed at determining the cost of insurance coverage. The algorithm calculation is ...
Added: January 31, 2017
Econometric Modeling of the Dynamics of the Integration Activity of Russian Companies
Mkhitarian V., Karelina M., , in: CEUR-WS The proceedings of Proceedings of the Workshop on Computer Modelling in Decision Making (CMDM 2016)Vol. 1726.: Aachen: CEUR-WS, 2016. P. 53–68.
This paper presents an empirical analysis of the Russian market of mergers and acquisitions  in 2003-2012. This analysis allowed for the conclusion that, to assess and forecast the integration activity of Russian companies, the most precise and appropriate models are seasonal autoregressive integrated moving average models built on weighted observations to eliminate the effect of ...
Added: January 31, 2017
Solving Optimal Stopping Problem by Using Computer Algebra Systems
Khametov V., Shelemekh E. A., Yasonov E., , in: CEUR-WS The proceedings of Proceedings of the Workshop on Computer Modelling in Decision Making (CMDM 2016)Vol. 1726.: Aachen: CEUR-WS, 2016. P. 43–52.
Abstract. The article deals with optimal stopping problem for arbi trary sequence of bounded random values (finite horizon). We obtained recurrent relations in the form of a Bellman equation and established a criteria of optimality for a stopping moment. Using this results we study how computer algebra systems can be applied to solve optimal stopping problems. We used Maple 14 ...
Added: February 22, 2017
Research target: Computer Science Mathematics Economics and Management
Priority areas: economics mathematics
Language: English
Text on another site
Keywords: economicscomputer modellingdecision making
CEUR-WS The proceedings of Proceedings of the Workshop on Computer Modelling in Decision Making (CMDM 2016)
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