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.
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
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.
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.
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.
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Chemists Simplify Synthesis of Drugs Involving Amide Groups
Chemists from HSE University and the Nesmeyanov Institute of Organoelement Compounds of the Russian Academy of Sciences (INEOS RAS) have developed a new method for synthesising amides, essential compounds in drug production. Using a ruthenium catalyst and carbon monoxide under precisely controlled reaction conditions, they successfully obtained the target product without by-products or complex purification steps. The method has already been tested for synthesising a key component of Vorinostat, a drug used to treat T-cell lymphoma. This approach could lower the cost of the drug by orders of magnitude. The paper has been published in the Journal of Catalysis. The study was supported by the Russian Science Foundation.
Scientists Present New Solution to Imbalanced Learning Problem
Specialists at the HSE Faculty of Computer Science and Sber AI Lab have developed a geometric oversampling technique known as Simplicial SMOTE. Tests on various datasets have shown that it significantly improves classification performance. This technique is particularly valuable in scenarios where rare cases are crucial, such as fraud detection or the diagnosis of rare diseases. The study's results are available on ArXiv.org, an open-access archive, and will be presented at the International Conference on Knowledge Discovery and Data Mining (KDD) in summer 2025 in Toronto, Canada.
Implementation of Principles of Sustainable Development Attracts More Investments
Economists from HSE and RUDN University have analysed issues related to corporate digital transformation processes. The introduction of digital solutions into corporate operations reduces the number of patents in the field of green technologies by 4% and creates additional financial difficulties. However, if a company focuses on sustainable development and increases its rating in environmental, social, and governance performance (ESG), the negative effects decrease. Moreover, when the ESG rating is high, digitalisation can even increase the number of patents by 2%. The article was published in Sustainability.
Russian Scientists Develop New Compound for Treating Aggressive Tumours
A team of Russian researchers has synthesised a novel compound for boron neutron capture therapy (BNCT), a treatment for advanced cancer that uses the boron-10 isotope. The compound exhibits low toxicity, excellent water solubility, and eliminates the need for administering large volumes. Most importantly, the active substance reaches the tumour with minimal impact on healthy tissues. The study was published in the International Journal of Molecular Sciences shortly before World Cancer Day, observed annually on February 4.
HSE Scientists Develop Application for Diagnosing Aphasia
Specialists at the HSE Centre for Language and Brain have developed an application for diagnosing language disorders (aphasia), which can result from head injuries, strokes, or other neurological conditions. AutoRAT is the first standardised digital tool in Russia for assessing the presence and severity of language disorders. The application is available on RuStore and can be used on mobile and tablet devices running the Android operating system.