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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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Improve Method Using Spatial Fast Filters and GPU to Detection of Parcels of Land in Satellite Images for Cadaster Purposes

P. 453–458.
Cadena L., Cadena F., Легалов А. И., Zotin A.

Nowadays, remotely sensed images are used for various purposes in different applications. One of them is the cadastral application using high resolution satellite imagery. The edge detection has an important role in image processing, especially in the detection and the extraction physical features, those which are useful to their enforcement in the analysis of cadasters. An improve methodology is shown for detection of parcels of land in satellite images using GPU and fast filter for improve time process to reduce the noise, dynamic histogram equalization instead classic histogram equalization and Canny edge detection which is the best of others as Sobel, Prewitt, etc, for accelerated time process we used parallel Matlab GPU. Index Terms— satellite image, digital image, Canny edge detector, fast filters, dynamic histogram equalization, SSIM measure, parallel programming, GPU.

Language: English
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Keywords: GPUimage processing

In book

Proceedings of The World Congress on Engineering and Computer Science 2018, 23-25 October, 2018. San Francisco, USA
Vol. 1. , Newswood Limited, 2018.
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