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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.
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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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Show Me How to Tie a Tie: Evaluation of Cross-Lingual Video Retrieval

P. 3–15.
Braslavski P., Verberne S., Talipov R.

In this study we investigate the potential of cross-lingual video retrieval for how-to questions. How-to questions are the most frequent among wh-questions and constitute almost 1 % of the entire query stream. At the same time, how-to videos are popular on video sharing services. We analyzed a dataset of 500M+ Russian how-to questions. First, we carried out manual labelling of 1,000 queries that shows that about two thirds of all how-to question queries are potentially suitable for answers in the form of video in a language other than the language of the query. Then, we evaluated video retrieval quality for original and machine translated queries on a crowdsourcing platform. The evaluation reveals that machine translated questions yield video search quality comparable to the quality for original questions. Cross-lingual video search for how-to queries can improve recall and diversity of search results, as well as compensate the shortage of original content in emerging markets.

Language: English
DOI
Keywords: video retrieval

In book

Experimental IR Meets Multilinguality, Multimodality, and Interaction
Springer, 2016.
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