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September 21, 2026
Researchers Develop Methodology to Assess the Quality of Legal Representation in Criminal Proceedings
Having a good defence attorney in criminal proceedings can largely determine whether a defendant retains their freedom, health and good name. Researchers at HSE University propose a method for predicting an attorney’s performance based on the outcomes of their previous cases. The methodology takes into account the severity of the charges, the complexity of the cases, and the most likely outcome, drawing on judicial statistics.
September 21, 2026
Algebra, Geometry, and AI: Russian and Vietnamese Mathematicians Discuss Current Research
A delegation of scientists from Hanoi visited the HSE Faculty of Computer Science and then took part in a Russian-Vietnamese conference in St Petersburg. The events were part of the three-year project ‘Flexibility and Computational Methods.’ Over the course of the project, the researchers have prepared joint publications and obtained new mathematical results.
September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.

 

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?

How Artificial Intelligence Technology Affects Productivity

Ch. 9. P. 125–144.
Semenova E., Mikhail Komarov

The article investigates the impact of large language models (LLMs), such as ChatGPT, on productivity within the digital product development industry. The research highlights the transformative role of LLMs in enhancing task completion speed, job satisfaction, and reducing fatigue, particularly for junior employees and less experienced professionals. Through a survey-based approach, the study identifies that the practical application of LLMs is more beneficial in stages like coding, code review, and bug fixing, while their effectiveness diminishes in more creative or
planning-intensive phases. Despite the positive correlation between LLM usage and productivity improvements, the study underscores the lack of significant empirical data across diverse organizational settence.
 

Language: English
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Keywords: productivityпроизводительностьChatGPTChatGPTArtificial intelligence (AI)ИИБЯМLarge language models (LLM)Digital product developmentразработка цифрового продукта

In book

Sustainable Green Conversion. Selected Papers from ISPR2024, October 10-12, 2024 Budva-Montenegro, Volume 1
Sustainable Green Conversion. Selected Papers from ISPR2024, October 10-12, 2024 Budva-Montenegro, Volume 1
Komarov M. M. Vol. 1,2. , Springer, 2025.
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