Virtual Mozart, Venture Capital Bot, and Educational Video Generation: How AI is Used at HSE University
In mid-November, HSE University hosted a meetup where faculty, researchers, and administrators presented their projects and shared experiences with using AI technologies in education and research. The meeting was part of the continuing professional development programme 'Artificial Intelligence in Education and Research.'
The 'Artificial Intelligence in Education and Research' project supports the initiatives of university staff aiming to leverage advanced technologies to enhance the quality of education and scientific research. The project is carried out within the framework of the Priority 2030 Strategic Academic Leadership Programme.
Redesigning a Venture Capital Course Using AI Elements
Alexander Semenov, Associate Professor at the School of Finance, Faculty of Economics Sciences, shared his experience using artificial intelligence to redesign a course in Venture Capital. One of the primary goals of using AI was to enhance students' understanding of the financial investment market and innovative business practices.
Alexander Semenov
For this purpose, a virtual assistant was developed based on the psychologist chatbot Anna that interacts with students, helping them answer challenging questions and become more psychologically prepared to engage with investors. The use of this virtual assistant has enhanced the quality of student training and introduced new tools for discussing the psychological aspects of entrepreneurship.
AI Simulacra for a Figital Art Course
Evgeniya Evpak, Research Assistant at the HSE ISSEK Laboratory for Economics of Innovation and visiting lecturer at the HSE Art and Design School, presented a project centred on integrating AI simulacra into a course on figital art.
Evgeniya Evpak
The project’s main idea was to create virtual avatars of historical figures, such as Plato, Jean Baudrillard, and Wolfgang Amadeus Mozart, to facilitate educational dialogues with students. These avatars were created using the Hedra and GigaChat neural networks, enabling the integration of gamification elements into the educational process and the creation of an interactive environment for studying figital art and its theoretical foundations. This approach will not only save time in creating educational video materials but also make learning more engaging for students.
AI Tools for Teaching Foreign Languages
Natalia Ryapina, Senior Lecturer at the School of Foreign Languages, HSE Campus in Perm, shared her experience using AI to teach foreign languages.
Natalia Ryapina
The main focus was on using multimodal AI tools, such as Gamma and EdrawMind, which help adapt educational materials and contribute to their comprehension by students. Generating content in various formats (video, audio, text) using artificial intelligence caters to students with different learning styles, increasing their engagement in the educational process and helping them immerse themselves more deeply in the material.
Integration of AI in Educational Activities
Ksenia Fimina, Senior Lecturer at the HSE School of Applied Mathematics, demonstrated how artificial intelligence can optimise the creation of educational materials.
Ksenia Fimina
In her work, she uses AI tools like Narakeet and Invideo AI, which reduce the time required to create presentation-quality videos by more than tenfold. AI tools offer teachers a wide range of ready-made templates and ideas for visually presenting lecture material, helping make the educational process more engaging and accessible for students. Ksenia Fimina also uses neural network technologies in developing a digital assistant for medical researchers as part of the Smart Medicine project.
Using AI to Examine the Narrative Structure of a Text
Marharyta Fabrykant, Senior Research Fellow at the Expert Institute's Laboratory for Comparative Studies in Mass Consciousness, presented the results of a study on using AI tools to analyse the emotional tone of a text and examine its narrative structure.
Marharyta Fabrykant
The project employed emotional dynamics analysis using the NLTK library to study the ancient epic of Gilgamesh. The study revealed patterns in the emotional structure of the text, confirming hypotheses about the rise and fall of emotional intensity at key moments of the narrative. Marharyta Fabrykant's project demonstrates the potential of using AI technologies for objective analysis of complex texts, which is highly significant for conducting humanities research.
The ‘Artificial Intelligence in Education and Research’ is a continuing professional development programme implemented by the HSE Faculty of Computer Sciences' Continuing Education Centre and the HSE Centre for Staff Continuing Professional Development.
See also:
HSE University to Launch 11 Projects with Research Centres from Five Countries
HSE University has announced the results of its International Academic Cooperation (IAC) competition for joint fundamental research projects. Five projects have received full funding, while six more have been awarded partial funding. The research teams include scholars from Brazil, South Africa, China, India, and Oman. Alexander Balyshev, HSE University Vice President, shared details of the 2026 IAC competition winners.
HSE University to Present Its Projects at the International Youth Festival
The International Youth Festival (IYF) will be held in Yekaterinburg from 11 to 17 September 2026. HSE University will take an active part in the event. The university's booth will present a space settlement mock-up, robots, and the iFORA big data analysis system. Fifty HSE students will visit festival venues, and experts will participate in the business programme.
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.
‘Hedgehog’ Versus ‘Relatives’: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
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.
Researchers Rank Recommendation Algorithms Using Sports Tournament Model
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed an approach for selecting recommendation algorithms more effectively. Their approach uses pairwise comparisons of algorithms to create a tournament table, with the overall ranking based on their performance across all datasets in the tournament. This can reduce the number of algorithms that need to be tested when developing new services, saving both time and money. The study was presented at the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 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.’
Researchers at HSE University and Sber Train Neural Networks to Better Predict User Preferences
The HSE FCS AI and Digital Science Institute and Sber have introduced a new architecture for recommendation systems that combines two classes of models, enabling algorithms to better predict users’ interests and needs. A preprint of the paper has been published on arxiv.org and presented at Urban ML.
HSE Graduate School of Business and Alfa-Bank Hold Summer School for Students from China
Twenty-seven students from Chinese universities took part in the international summer school ‘Digital Product Management’ organised by the HSE Graduate School of Business and Alfa-Bank. Over the course of a week, participants explored the Russian economy and business environment, learned about current technology trends, and worked through the key stages of digital product development step by step—from researching user needs and defining a problem to developing a prototype and presenting their final project.
Physicists Discover What Happens Inside a Stable Vortex
Large vortices with characteristic spiral arms are often observed in the atmosphere and the ocean. Physicists from HSE University have explained how these structures form and why they retain their shape. The researchers found that velocities at points located along the same vortex arc remain correlated even over long distances. At the same time, this correlation weakens rapidly with increasing distance from the vortex centre. These differences help explain the formation of spiral arms and may improve models of atmospheric and oceanic currents. The findings have been published in Physical Review Fluids.