HSE researchers are training large language models (LLMs) to understand Russian-language scientific terminology while improving their energy efficiency. The adapted model runs 2.7 times faster and requires 73% less memory than the original open model, allowing it to operate on more affordable hardware. The programme has passed state registration.
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science, along with students from the AI360: Artificial Intelligence Engineering track of the Applied Mathematics and Information Science bachelor’s programme, took part in ICLR, one of the world’s most prestigious international conferences on machine learning and representation learning. This year’s event was held in Rio de Janeiro, Brazil.
Diaries and letters are an invaluable resource for humanities scholars. But what can be done when the text is impossible to read? At the HSE Faculty of Humanities, this challenge has been translated into the language of mathematics: a team of philologists, historians, and machine learning specialists has created an information system that not only recognises illegible handwriting but also helps analyse archival content.
HSE researchers are training large language models (LLMs) to understand Russian-language scientific terminology while improving their energy efficiency. The adapted model runs 2.7 times faster and requires 73% less memory than the original open model, allowing it to operate on more affordable hardware. The programme has passed state registration.
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science, along with students from the AI360: Artificial Intelligence Engineering track of the Applied Mathematics and Information Science bachelor’s programme, took part in ICLR, one of the world’s most prestigious international conferences on machine learning and representation learning. This year’s event was held in Rio de Janeiro, Brazil.
Diaries and letters are an invaluable resource for humanities scholars. But what can be done when the text is impossible to read? At the HSE Faculty of Humanities, this challenge has been translated into the language of mathematics: a team of philologists, historians, and machine learning specialists has created an information system that not only recognises illegible handwriting but also helps analyse archival content.
On April 20–21, the HSE School of Foreign Languages held the V International Scientific and Practical Conference ‘Languages. Education. Development’ (HSE LED). It was organised in an online format and dedicated to current trends in the development of modern knowledge in linguistics and pedagogy. Over two days, about 1,700 participants (including more than 220 speakers) took part in the event— 40% more than in the previous academic year.
Interdisciplinary research is a defining feature of modern science, and this trend is especially pronounced in the field of quantum technologies. Physics, chemistry, mathematics, and biology form the core fields of research at the Centre for Quantum Metamaterials of the HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM). Prof. Alexei Vagov, director of the centre, discusses its key activities, which focus on exploring the prospects of creating materials with predefined properties through manipulating their structure at the quantum level.
The conference programme covers five research topics: economics; human capital and society; instrumental methods and models; foresight research; and international research. Hundreds of scientists from around the world will take part in the conference.
Career prospects in Russia prove to be more important for African students than climate, language barriers, or everyday difficulties. HSE researchers came to this conclusion after analysing survey results from students representing 28 countries across the continent. The key factor influencing their decision is the opportunity to start working while still studying.
Researchers from the International Laboratory of Intangible-driven Economy (Perm) and the HSE Laboratory of Sports Studies, together with mathematician and science populariser Alexey Savvateev, organised a game theory tournament entitled ‘The Election Race.’ Participants competed both against one another and against artificial intelligence. For now, humans have managed to gain the upper hand and propose more effective strategies.
HSE University has hosted the final defences of student projects submitted to the Scientific Initiative Competition organised by the Centre for Student Academic Development. Over the course of the year, participants worked on research projects spanning all stages of the research process, from defining a scientific problem to analysing results, and public defence marked the final stage of the competition.
The Centre for the Study of Native Languages at Dagestan State University (DSU) is actively engaged in researching the many languages spoken by the peoples of Dagestan. The republic has 14 official state languages, many of which have their own dialects and varieties. Scholars from Dagestan plan to adopt corpus-based methods of linguistic research used at HSE University and intend to collaborate with HSE’s Linguistic Convergence Laboratory. The HSE News Service spoke with the centre’s Director, Prof. Marina Gasanova, who is currently undertaking a research placement at HSE University.
