Tag "research projects"

Researchers at HSE University and the AIRI Institute have proposed a method for quickly fine-tuning neural networks. Their approach involves processing data in groups and then optimally shuffling these groups to improve their interactions. The method outperforms alternatives in image generation and analysis, as well as in fine-tuning text models, all while requiring less memory and training time. The results have been presented at the NeurIPS 2024 Conference.

At the dawn of the 21st century, humans are increasingly becoming not just observers, but active participants in the technological revolution. Among the breakthroughs with the potential to change the lives of millions, brain–computer interfaces (BCIs)—systems that connect the brain to external devices—hold a special place. These technologies were the focal point of the spring International School ‘A New Generation of Neurointerfaces,’ which took place at HSE University.

Researchers from HSE University in Perm have developed NeuroSkate, a neural network that identifies the movements of skaters on video and determines the correctness of the elements performed. The algorithm has already demonstrated success with the basic elements, and further development of the model will improve its accuracy in identifying complex jumps. 

Foreign scientists successfully continue their work in HSE University laboratories, combining fundamental and applied research to achieve significant results. HSE News Service has spoken to Professor Panos Pardalos, Head of the Laboratory of Algorithms and Technologies for Networks Analysis at HSE University in Nizhny Novgorod, about its work.

The team of the HSE Faculty of Urban and Regional Development (FURD) has held a series of meetings with partners in China as part of its working visit focused on advancing cooperation. The agenda included urban and agglomeration ranking research, the development of unique educational programmes in urban studies, and other key topics.

HSE University's Centre for Language and Brain has developed the first standardised tool for assessing Russian reading skills in adults—the LexiMetr-A test. The test is now available digitally on the RuStore platform. This application allows for a quick and effective diagnosis of reading disorders, including dyslexia, in people aged 18 and older.

The HSE Centre for Language and Brain conducted a course on tractography, a method that enables visualisation of key brain connections and helps surgeons avoid damaging language-critical areas during surgery. The course was attended by neurosurgeons and radiologists from Moscow and other Russian regions who are interested in methods of preoperative language mapping.

The International Partners' Week at HSE University-St Petersburg united more than 100 representatives of leading universities from 23 countries. During the large forum, specialists of the campus, invited experts and international partners took part in panel discussions on artificial intelligence, the use of 'soft power', shaping a new generation of leaders and many other topics.

The application of mathematical models to the diagnosis and treatment of cardiovascular diseases contributes to the effective detection of patient predispositions and supports the selection of best treatment strategies. The use of mathematical models helps create new diagnostic tools and train neural networks to assist clinicians. Researchers from HSE University and colleagues from Saratov State Medical University are engaged in this work as part of the Mirror Laboratories project. In this interview, Natalya Stankevich, Senior Research Fellow at the International Laboratory of Dynamical Systems and Applications of the HSE Campus in Nizhny Novgorod, talks about what the collaboration has achieved so far.

In biomedical research, machine learning algorithms are often used to analyse data—for instance, to predict cancer recurrence. However, it is not always clear whether these algorithms are detecting meaningful patterns or merely fitting random noise in the data. Scientists from HSE University, IBCh RAS, and Moscow State University have developed a test that makes it possible to determine this distinction. It could become an important tool for verifying the reliability of algorithms in medicine and biology. The study has been published on arXiv.