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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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Information exchange, meaning and redundancy generation in anticipatory systems: self-organization of expectations–the case of Covid-19

International Journal of General Systems. 2022. Vol. 51. No. 7. P. 675–690.
Ivanova I.

The paper focuses on the link between the dynamics of information and system evolution. Information, exchanged between different system’s parts, before being processed is first provided with meaning by the system. Meanings are generated from the perspective of hindsight, i.e. against the arrow of time. The same information can be differently interpreted by different system’s parts (i.e. provided with different meanings) so that the number of options for possible system development is proliferated. Some options eventually turn into observable system states. So that system evolutionary dynamics can be considered as due to information processing within the system. The model under study is Triple Helix (TH) model, conceptualized in the framework of three compartment model used to describe infectious diseases. The paper demonstrates how the dynamics of information and meaning can be incorporated in the description of Covid-19 infection propagation. The results show correspondence of model predictions with observable infection dynamics. © 2022 Informa UK Limited, trading as Taylor & Francis Group.

Research target: Economics and Management Other social sciences
Language: English
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Keywords: modelinformationnon-linearityredundancyCOVID-19
Publication based on the results of:
Impact of climate change agenda on innovation actors’ behaviour (2022)
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