Alexey Masyutin

The AI Lingua Neural Network has been collaboratively developed by the HSE University’s AI Research Centre, School of Foreign Languages, and online campus. The model has been trained on thousands of expert assessments of both oral and written texts. The system evaluates an individual's ability to communicate in English verbally and in writing.

The AI Alliance Russia has released a new ranking of Russian universities based on the quality of education in the field of AI. Similar to last year, HSE University has joined the leaders in A+ group alongside MIPT and ITMO. A total of 207 universities from 69 Russian regions participated in the ranking. In 2024, over 35,000 students were enrolled in AI-related programmes at these universities.

On June 26 and 27, HSE University at Pokrovka hosted a discussion of potential partnerships between the university's research teams and strategic projects under the Priority 2030 programme. During the two-day session, the heads of strategic projects presented the main areas of their ongoing research, highlighted some of the key results achieved, and shared their vision for involving new researchers in the projects.

In December, the HSE Institute for Statistical Studies and Economics of Knowledge and the HSE AI Research Centre participated in UNCTAD eWeek to discuss the future of the emerging digital economy. One of the topics discussed during the conference was artificial intelligence and its applications in driving the digital transformation of industry sectors. The session was co-organised by HSE University.

On November 17-19, The HSE Faculty of Computer Science, SBER and cloud technology provider Cloud.ru organised HSE Sber ML Hack, a hackathon based around machine learning. More than 350 undergraduate and graduate students from 54 leading Russian universities took part in the competition.

At the end of September, the HSE University Faculty of Computer Science launched the laboratory ‘Artificial Intelligence in Mathematical Finance’, which brought together more than 70 participants. Representatives of the laboratory told students and staff about the key tasks and goals of the new research department.

HSE AI Research Centre works on achieving applied results, striving not only to develop innovative algorithms and models, but also to put them into practice to solve real-world problems and tasks. Alexey Masyutin, Head of the AI Research Centre, spoke about some of the the specifics of applying AI technologies in various fields.

Every spring, HSE University’s Faculty of Computer Science, which this year turns nine years old, traditionally opens its doors and invites everyone to a festival. This time, more than 20 events with over 2,000 registered participants were held between April 8^th and 16th as part of the Days of Computer Science.

The 2nd Congress of Young Scientists was held at the Sirius Park of Science and Art in Sochi. HSE University representatives took an active part in it, working at various venues where a wide range of topics were discussed—from university development to machine learning and scientific cinema.

The AI Journey international conference is a major platform for sharing cutting-edge innovations in artificial intelligence and machine learning. In late November 2022, AIJ was once again hosted by Sber. The conference was attended by HSE researchers from the Faculty of Computer Science and the Centre for Artificial Intelligence.

The meeting was held in person for the first time in over two years. It was attended by Sergey Kravtsov, Russian Minister of Education, and Dmitry Smyslov, Vice President of VK. The Council discussed HSE University’s breakthrough projects in engineering and artificial intelligence and elected new distinguished and tenured professors.

The HSE Centre for Artificial Intelligence, together with its partners in industry, is working on 25 applied projects in the fields of telecommunications, finance, education, medicine, etc. The results of the work by researchers and developers were recently presented at a meeting of a Russian government working group. That meeting summed up the initial results of the federal Artificial Intelligence project, part of the national Digital Economy programme.

The master’s programme 'Financial Technologies and Data Analysis' combines information technology, mathematics, and economics. The programme puts particular emphasis on hands-on experience: as early as the first year, half of the programme’s first-year master's students receive full-time employment in data science departments of financial companies.