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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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Hardware–Software Complex for SPICE Model Libraries Development

IEEE Access. 2025. Vol. 13. P. 205412–205427.
Petrosyants K. O., Romanov A., Romashikhin M.

This article proposes the basic architecture of a hardware-software complex for SPICE model libraries development. Its improvements are proposed by adding support for AI digital twins methodology, FPGA acceleration and inference, as well as additional automation tools. This made it possible to significantly expand the set of basic SPICE models, increase the temperature range, add consideration of radiation exposure, add fault tolerance analysis, increase the level of automation and integration of additional tools, and ensure the storage of various sets of SPICE models of different nature and implementation in a single repository. The advantages of the developed hardware-software complex are demonstrated in various examples of its application for modeling transistors of various types.

Research target: Electronics and Electrical Engineering
Language: English
Full text
DOI
Text on another site
Keywords: SPICE modelingSPICE parameters extractionTCAD modelingDiscrete MOS transistorsbipolar MOS transistors
Publication based on the results of:
Methods and tools for the development and implementation of digital twins for electronic engineering (2025)
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