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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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?

Быстрая сегментация множественных сочетаний признаков на основе их сводной статистики

С. 132–142.
Khvostov V., Utochkin I. S.
Language: Russian
Keywords: быстрая зрительная сегментацияансамблевые статистикисегментабельность

In book

Аффорданс: ожидание, возможность, ограничение? Материалы Всероссийской научной конференции
Общество с ограниченной ответственностью "Аверс Плюс", 2018.
Similar publications
Limitations on Animacy Categorization in Ensemble Perception
Khvostov V., Markov Y., Utochkin I. S. et al., Journal of Vision 2021 Vol. 21 Article 2085
People can rapidly and efficiently categorize the animacy of natural objects. Does this imply that the visual system has an unlimited capacity for processing animacy across the entire visual field? To test this, we generated a set of morphed “animacy continua” between animate and inanimate silhouettes. Observers were shown different ratios of these items (2:1, ...
Added: October 6, 2021
Ensemble representation of animacy could be based on mid-level visual features
Markov Y., Tiurina N., Journal of Vision 2021 Vol. 21 P. 2114–2114
Recent studies propose that mid-level features could underlie animacy perception. Here we tested whether the ability to estimate ensemble summary statistics for animacy based on high or mid-level features. We used four types of animate and inanimate images (Long & Konkle, 2018): colorful images, greyscale images, silhouettes (contains only recognizable shapes), texforms (unrecognizable images, which ...
Added: October 6, 2021
Ensemble-based segmentation in the perception of multiple feature conjunctions
Utochkin I. S., Khvostov V., Journal of Vision 2018 Vol. 18 No. 10 P. 74
Added: September 29, 2018
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