HSE — Nizhny Novgorod

Developments in the field of artificial intelligence are gradually taking over the world. AI has the potential to bring incredible benefits to the global economy and our quality of life, but it also creates new challenges. Panos Pardalos, Professor at the University of Florida, Academic Supervisor of the Laboratory of Algorithms and Technologies for Networks Analysis (Nizhny Novgorod), covered these issues, along with other related topics, in his recent report.

The Russian International Affairs Council (RIAC) has presented an analytical report entitled 'Electronic Internationalisation Ranking of Russian Universities (2023).' One of its components is a ranking of English-language websites of Russian universities, with HSE University maintaining the top position.

HSE University, together with the world-class Neimark IT campus, is preparing a unique professional environment for future IT specialists: to this end, an IT school will be created in the Nizhny Novgorod region, and on September 1st, the first network degree programme ‘Artificial and Augmented Intelligence Technologies’ will be launched at HSE University in Nizhny Novgorod.

On March 3, HSE University will host a University-wide Open Day for applicants to bachelor's and specialist programmes. It is a significant event for the university, its teachers and students, and, of course, applicants. Participants will have a chance to learn more about HSE University’s academic and extracurricular environment, talk to representatives of faculties and educational programmes, participate in activities, and learn about opportunities for self-development.

The English-language programme of HSE Online ‘Master of Computer Vision’ will change its name to ‘Artificial Intelligence and Computer Vision’ in 2024. Andrey Savchenko, the programme academic supervisor, shares how the new name will affect the programme semantics, why AI has become the main federal trend in the field of information technology, and what tasks graduates will solve.

A new algorithm that enables precise measurement of the pitch frequency of a speech signal, a crucial parameter for identifying emotions and diagnosing illnesses, has been introduced by researchers at HSE Campus in Nizhny Novgorod. This method can operate in a noisy environment, in real time and with fewer computing resources than any analogues.