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Large Language Models No Longer Require Powerful Servers

Large Language Models No Longer Require Powerful Servers
Scientists from Yandex, HSE University, MIT, KAUST, and ISTA have made a breakthrough in optimising LLMs. Yandex Research, in collaboration with leading science and technology universities, has developed a method for rapidly compressing large language models (LLMs) without compromising quality. Now, a smartphone or laptop is enough to work with LLMs—there's no need for expensive servers or high-powered GPUs.

AI to Enable Accurate Modelling of Data Storage System Performance

AI to Enable Accurate Modelling of Data Storage System Performance
Researchers at the HSE Faculty of Computer Science have developed a new approach to modelling data storage systems based on generative machine learning models. This approach makes it possible to accurately predict the key performance characteristics of such systems under various conditions. Results have been published in the IEEE Access journal.

From Neural Networks to Stock Markets: Advancing Computer Science Research at HSE University in Nizhny Novgorod

From Neural Networks to Stock Markets: Advancing Computer Science Research at HSE University in Nizhny Novgorod
The International Laboratory of Algorithms and Technologies for Network Analysis (LATNA), established in 2011 at HSE University in Nizhny Novgorod, conducts a wide range of fundamental and applied research, including joint projects with large companies: Sberbank, Yandex, and other leaders of the IT industry. The methods developed by the university's researchers not only enrich science, but also make it possible to improve the work of transport companies and conduct medical and genetic research more successfully. HSE News Service discussed work of the laboratory with its head, Professor Valery Kalyagin.

Group and Shuffle: Researchers at HSE University and AIRI Accelerate Neural Network Fine-Tuning

Group and Shuffle: Researchers at HSE University and AIRI Accelerate Neural Network Fine-Tuning
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.

When Thoughts Become Movement: How Brain–Computer Interfaces Are Transforming Medicine and Daily Life

When Thoughts Become Movement: How Brain–Computer Interfaces Are Transforming Medicine and Daily Life
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 Teach AI to Analyse Figure Skating

Researchers from HSE University in Perm Teach AI to Analyse Figure Skating
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. 

'Science Knows No National Borders'

Panos Pardalos
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.

First Digital Adult Reading Test Available on RuStore

First Digital Adult Reading Test Available on RuStore
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.

HSE Scientists Explain How to Identify Brain Areas Critical for Language Function During Surgery

HSE Scientists Explain How to Identify Brain Areas Critical for Language Function During Surgery
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.

'Global Dialogue about the Future': Key Topics of Expert Lectures at HSE St Petersburg International Partners' Week

'Global Dialogue about the Future': Key Topics of Expert Lectures at HSE St Petersburg International Partners' Week
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.