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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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Artificial General Intelligence. 12th International Conference, AGI 2019, Shenzhen, China, August 6–9, 2019, Proceedings

Vol. 11654. Springer, 2019.
Under the general editorship: P. Hammer, P. Agrawal, B. Goertzel, M. Iklé
Chapters
Mental Actions and Modelling of Reasoning in Semiotic Approach to AGI
Kovalev A., Panov A., , in: Artificial General Intelligence. 12th International Conference, AGI 2019, Shenzhen, China, August 6–9, 2019, ProceedingsVol. 11654.: Springer, 2019. P. 121–131.
The article expounds the functional of a cognitive architecture Sign-Based World Model (SBWM) through the algorithm for the implementation of a particular case of reasoning. The SBWM architecture is a multigraph, called a semiotic network with special rules of activation spreading. In a semiotic network, there are four subgraphs that have specific properties and are ...
Added: October 30, 2020
Priority areas: IT and mathematics
Language: English
DOI
Text on another site
Keywords: learning algorithmsknowledge representationreinforcement learningcognitive systemsartificial intelligenceHuman-Computer Interaction (HCI)user interfacescognitive architecturesagentsMulti-Agent Systems (MAS)
Artificial General Intelligence. 12th International Conference, AGI 2019, Shenzhen, China, August 6–9, 2019, Proceedings
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