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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.
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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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Complex dynamics and optimal control of monetary policy in a New Keynesian model with government debt

IFAC-PapersOnLine. 2022. Vol. 55. No. 40. P. 157–162.
T. A. Alexeeva, Kuznetsov N. V., Lobachev M., Mokaev R., Mokaev T., A. V. Petrova, I. A. Polshchikova

One of the central tasks of macroeconomic analysis is forecasting and control of economic agents’ expectations for key macroeconomic indicators such as inflation, gross domestic product (GDP), prices and others, etc., so that to achieve maximum level of their welfare through monetary and fiscal policy. This problem is solved within the framework of the optimal control theory using New Keynesian (NK) models that can demonstrate complex behavior, including periodic and chaotic dynamics, even in conditions of dynamical economic equilibrium. Revealing the economic mechanism for the emergence of such irregular dynamics can improve forecasting behavior of the model of the economy and stabilize undesirable dynamics. We consider this complex mechanism from two sides. First, we analyze how various monetary and fiscal policy regimes, active as well as passive, stimulate the emergence of different types of dynamics, both locally determinate and explosive ones, using the NK model with government debt as an example. Second, we clarify how government debt affects optimal monetary policy. A non-trivial backward integration algorithm is implemented to identify the initial state of the model, which leads to optimal dynamic equilibrium and the achievement of targeted values of key macroeconomic indicators.

Research target: Mathematics Economics and Management
Language: English
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Keywords: нелинейная динамикаоптимальное управлениеnonlinear dynamicsoptimal controloptimal monetary policyоптимальная монетарная политикаglobal indeterminacyNew Keynesian modelновокейнсианская модельглобальная неопределенность
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