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.
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.’
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.
Belyaeva N. G., Chernen'kova T. V., Morozova O. V. et al., Contemporary Problems of Ecology 2018 Vol. 11 No. 7 P. 729–742
The coenotic diversity of forests of the model region in southwestern Moscow oblast with an area of 51 500 ha has been assessed using data from field studies, remote sensing (Landsat-5 TM, Landsat-8 OLI, and TIRS), and digital terrain models of the landscape. Forest communities are classified using two different methods: eco-phytocoenotic and eco-floristic. We ...
Korznikov K. A., Belyaeva N. G., Sandlerskiy R., Contemporary Problems of Ecology 2021 Vol. 14 No. 7 P. 723–732
The study concerns mapping of the actual vegetation cover of the Vengeri River basin (eastern coast of the central Sakhalin) with an area of more than 33 000 ha. A cartographic model has been created with the use of the algorithm of stepwise discriminant analysis based on the original geobotanical data, a digital elevation model, and ...