Research & Expertise news at HSE University

On October 25–26, 2024, HSE University’s AI and Digital Science Institute and the AI Research Centre hold the Fall into ML 2024 conference in Moscow. This year’s event will focus on the prospects in development of fundamental artificial intelligence, with SBER as its conference title partner.

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.

This new model accounts for a wide range of ion-electrode interactions and predicts a device's ability to store electric charge. The model's theoretical predictions align with the experimental results. Data on the behaviour of the electric double layer (EDL) can aid in the development of more efficient supercapacitors for portable electronics and electric vehicles. The study has been published in ChemPhysChem. 

Researchers from HSE University have identified a connection between attachment to pets and attitudes toward nature and other people. The study found that the more joy people derive from interacting with their pets, the more they want to help others. However, love for animals is not always associated with concern for nature. The findings were published in the Social Psychology and Society journal.

This autumn, 55 early-career researchers will start working at HSE University's campuses in Moscow, St. Petersburg, Nizhny Novgorod, and Perm. All of them have undergone a rigorous selection process and aim to make significant progress in both science and personal development during their participation in the Russian Postdoctoral Fellowship Programme. This year, in addition to PhDs who are Russian citizens, HSE University welcomes their colleagues from Poland, Kazakhstan, and India who have earned their academic degrees from Russian universities. On September 17-18, orientation events were held for them at HSE University.

A group of scientists at HSE University have discovered how anxiety and depression can be diagnosed by analysing heart rate. It turns out that under mental stress, the heart rate of individuals with a predisposition to mental health disorders differs from that of healthy individuals, especially when performing more complex tasks. These changes in cardiovascular parameters can even be detected using a pulse oximeter or a smartwatch. The study findings have been published in Frontiers in Psychiatry.

Topic models are machine learning algorithms designed to analyse large text collections based on their topics. Scientists at HSE Campus in St Petersburg compared five topic models to determine which ones performed better. Two models, including GLDAW developed by the Laboratory for Social and Cognitive Informatics at HSE Campus in St Petersburg, made the lowest number of errors. The paper has been published in PeerJ Computer Science.

Researchers at HSE ISSEK have released the third ranking of megacities based on their innovation attractiveness—HSE Global Cities Innovation Index 2024 (HSE GCII 2024). Moscow ranks ninth, while London, New York, and Tokyo lead the ranking. The top ten also include Beijing, San Francisco, Paris, Shanghai, Los Angeles, and Seoul. In addition to Moscow, 25 other Russian cities are among the top 1,000, including St. Petersburg (73), Novosibirsk (183), and others.