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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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The Cybersecurity in Development of IoT Embedded Technologies

P. 1–4.
Усмонов Б. Ш., Evsyutin O., Iskhakov A., Шелупанов А. А., Исхакова А. О., Мещеряков Р. В.

The article deals with the current problem of ensuring security when developing embedded technologies for the Internet of things. The authors analyze modern technological features of this concept; consider the main vulnerabilities of information security. An approach is proposed to protect the data transferred between the physical, logical and virtual components of the dedicated Internet infrastructure of things. Distinctive features of the proposed approach are the intellectual analysis of messages transmitted in IoT and the use of digital watermarks for data transfer between IoT-devices.

Language: English
DOI
Text on another site
Keywords: digital watermarks information securityfiltrationauthentication Internet of Thingsintellectual data analysis

In book

2017 International Conference on Information Science and Communications Technologies (ICISCT)
IEEE, 2017.
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