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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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CHI EA '26: Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems

NY : Association for Computing Machinery (ACM), 2026.
Under the general editorship: N. Oliver, D. Shamma, H. Candello, P. Cesar, P. Lopes, V. Artizzu, F. Draxler, G. Lopez, A. Reinschluessel, X. Tong, P. Toups Dugas

This book consists of the proceedings of the extended abstracts of the 2026 CHI Conference on Human Factors in Computing Systems.

Chapters
Human-in-the-Loop Egyptology: A System for Ancient Egyptian Text Study
Humonen I., Golyadkin M., Rubanova V. et al., , in: CHI EA '26: Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems.: NY: Association for Computing Machinery (ACM), 2026. P. 1–5.
We present a prototype web-based human-in-the-loop system for studying Ancient Egyptian hieroglyphic texts that integrates an image-to-text pipeline into an interactive workspace for iterative refinement. In a formative user study with Egyptologists and students, the system enabled faster work and higher-quality results than a manual workflow. ...
Added: April 14, 2026
Research target: Electronics and Electrical Engineering
Language: English
Text on another site
Keywords: ИнформатикаInformaticsИскусственный интеллектArtificial Intelligence
CHI EA '26: Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems
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