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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Основные итоги IX Всероссийской (с международным участием) научной конференции «Аэрокосмические методы и геоинформационные технологии в лесоведении, лесном хозяйстве и экологии»

Современные проблемы дистанционного зондирования Земли из космоса. 2025. Т. 22. № 6. С. 383–386.
Князева С. В., Ершов Д. В., Никитина А. Д., Гаврилюк Е. А., Архипцева Е. А., Сочилова Е. Н., Королева Н. В., Podolskaia E., Белова Е. И., Тихонова Е. В., Горнов А. В., Ковганко К. А., Тихонов Д. Н., Воробьев К. В.

This brief report summarizes the key outcomes of the IX All-Russia (with International Participation)
Scientific Conference “Aerospace Methods and Geoinformation Technologies in Forest Science,
Forestry and Ecology”. The conference was held April 15–17, 2025, in Moscow at Isaev Center for
Forest Ecology and Productivity RAS with organizational support from Space Research Institute RAS.
The conference was attended about 130 participants from scientific, industrial, and educational orga-
nizations in Russia, Belarus and Azerbaijan. Sixty papers were presented on key research areas involv-
ing the use of remote sensing and GIS technologies in forest science, forestry and ecology. Plenary
papers focused on the analysis of current large-scale changes in Russian forests at the national and
regional levels, forest fire monitoring, assessment of direct pyrogenic carbon emissions in forests, and
the causes of forest insect outbreaks. The problems of abandoned agricultural lands in Russia and
the need for annual monitoring of the extent of their forest overgrowth were highlighted. The confer-
ence’s sectional presentations focused on the results of advanced research using optical aerial imag-
ery from unmanned aerial vehicles (UAVs) and airborne and terrestrial laser scanning to assess forest
characteristics and productivity. Based on the conference results, a collection of abstracts was prepared
in electronic format and posted on the eLIBRARY.RU website. All information about the Ninth All-
Russia Scientific Conference (program, collection of materials, video broadcasts of plenary and sec-
tional sessions, and paper presentations) is available at https://cepl.rssi.ru/confs/ASGIS2025/.

Research target: Earth Sciences Agriculture, Forestry, and Fisheries
Language: Russian
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Keywords: беспилотные летательные аппаратынаучная конференциягеоинформационные технологииданные дистанционного зондированияспутниковые и наземные данные о лесахвоздушное лазерное сканированиересурс- ный потенциал и характеристики лесов
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