In an interview for HSE News Service, Fuad Aleskerov, Distinguished Professor of HSE University and Member of Academia Europaea, shares his insights into making decisions under deep uncertainty, highlights the crucial role of cooperation in this context, and unveils plans for the upcoming launch of a specialised course on decision-making and the establishment of a mirror laboratory at HSE University.
On November 24–25, 2023, the 12th ICEF-CInSt International Finance Conference took place in Moscow. Researchers from Russia, China, Hong Kong, Taiwan, the USA, Canada, Italy, and the United Kingdom contributed as speakers and discussants. The organisers and participants of the conference shared their impressions of the event with the HSE News Service.
At the AI Journey 2023 international conference in Moscow, a ranking of Russian universities that train the best AI specialists was published. HSE University entered the A+ leadership group, taking first place according to such criteria as ‘Demand for hiring graduates’, ‘Quality of educational environment’, and ‘Activities for the development of school education’. Ivan Arzhantsev, Dean of HSE University’s Faculty of Computer Science, spoke to the HSE News Service about how AI specialists are trained at HSE University and what plans the university has in this area.
Staff members of the HSE Faculty of Computer Science will present 12 of their works at the 37th Conference and Workshop on Neural Information Processing Systems (NeurIPS), one of the most significant events in the field of artificial intelligence and machine learning. This year it will be held on December 10–16 in New Orleans (USA).
The III Young Scientists Congress took place in the Sirius Science and Art Park on November 28–30, 2023. On the first day of the forum, a discussion was held on the tools and opportunities for engaging international early-career researchers in Russian science. The meeting was organised by HSE University together with members of the Association of Global Universities.
HSE University has hosted the latest in a series of adaptation seminars for research assistants. Representatives of the Centre for Scholarly Integration and the Centre for Student Academic Development told aspiring scientists about the opportunities afforded by participation in projects at HSE’s scientific laboratories, while experienced research assistants shared their cases.
The International Sber Conference of Artificial Intelligence, ‘AI Journey 2023’ recently took place in Moscow. Alexander Rogachev, doctoral student of the HSE Faculty of Computer Science, and Egor Egorov, an HSE 4th-year undergraduate student became the winners of the AIJ Science competition for scientific articles on artificial intelligence that was held as part of the event. The research was carried out under the umbrella of the HSE's Laboratory of Methods for Big Data Analysis (LAMBDA).
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 currently existing analogues. The results of the study have been published in the Journal of Communications Technology and Electronics.
An international group of scientists including researchers from HSE University has proposed a novel approach to rehabilitating patients with motor disorders. According to the researchers, more effective recovery can be achieved by granting patients the freedom to choose their movements and providing an appropriate system of rewards for engaging in the prescribed exercises. The opinion paper has been published in Neurorehabilitation and Neural Repair.
A team of researchers from the HSE Centre for Language and Brain and Alexeev Mental Health Clinic examined the relation between subjective complaints about language function and objective language performance in elderly people with mild cognitive impairment. It was found that the severity of subjective complaints exhibited only a moderate association with actual performance in language tasks. Participants in the study who expressed higher concerns about their language function compared to their memory faced greater difficulties with language tasks.
