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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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Способен ли искусственный интеллект написать статью в юридический журнал?

Закон. 2023. № 3. С. 126–133.
Yankovskiy R.

In this article, we explore the potential of artificial intelligence (AI), in particular, ChatGPT based in GPT 4.0 model, to create articles in the field of legal studies. We analyze the pros and cons of employing AI in jurisprudence, specifically focusing on its capacity to adapt to intricate legal terminology, evolving legislation, and nuanced argumentation. The primary emphasis is placed on potential inaccuracies that may emerge in AI-generated text, as well as the underlying causes and subsequent ramifications. Furthermore, we discuss the copyright implications for works created via AI and propose possible solutions. In conclusion, we outline the current limitations and future prospects for leveraging AI in both legal practice and scholarly research. A substantial portion of the article is entirely generated by AI.

Research target: Computer Science Law
Language: Russian
Full text
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Keywords: искусственный интеллектюриспруденцияавторствоконтекстюридическая терминологияавторские правагенерация текстаИИ в обученииюридические аргументыошибки ИИ
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