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ITMO at a Glance

Search by tag «Artificial Intelligence» 233 results

  • ITMO and MWS AI Open Laboratory for Acceleration of Neural Networks and Development of Language AI Models

    ITMO and MWS AI (part of МТS Web Services) have launched a virtual laboratory where scientists will develop novel methods for accelerating, compressing, and training AI models. The laboratory will help adapt AI into more languages and create new models for speech synthesis and recognition in Arabic and Kazakh, as well as propose algorithms that will optimize performance, reduce resource requirements, and let neural networks run directly on users’ devices to ensure the privacy of their data.

    17.06.2026

  • ITMO AI Expert to Evaluate Economic Consequences of Urban Decisions

    Urbanomy is the new ITMO-developed software suite that uses AI to predict economic and social effects of urban decisions. The new tool models interests of citizens, investors, and the city, identifies hidden conflicts, and offers balanced area development scenarios. Thus, the tool will be beneficial for authorities, investors, and analysts by allowing them to make economically optimal urban planning decisions. The service has already been tested by the administration of Gatchina in a pilot urban analysis project.

    11.06.2026

  • Robots + AI: Scientists and Big Tech On Making Sci-Fi a Reality

    Intelligent robots that interact with the world around them and make decisions don’t seem so fantastical anymore. How many years separate us from humanoid devices and fully autonomous systems? What data should we use to train robotic systems? And where should one study to bring to life the tech described by Azimov and the Strugatsky brothers? All this was discussed at a session of St. Petersburg International Economic Forum (SPIEF) – here are the highlights.

    09.06.2026

  • Daria Kozlova at SPIEF 2026: How AI Is Transforming Education in 2026

    While AI creates new opportunities for education and business, it also demands these fields to formulate responsible guidelines on how this emerging technology should be implemented. What do universities and companies choose to pursue in this regard? This question was addressed by Daria Kozlova, the Director for Strategic Development at ITMO, at the SPIEF session “Is Easily Accessible AI a Harm or a Boon for Humanity?”.

    05.06.2026

  • Still on Top: ITMO Among Three Best Russian Universities for AI Specialists

    ITMO has once again made it to the top three universities in Russia based on the quality of training AI specialists, according to the latest edition of the annual ranking by AI Alliance. The university has been one of the ranking’s leaders for four years. In total, the study includes 193 universities from 58 Russian regions, ranked from A++ to E+.

    03.06.2026

  • ITMO and AIRI Open AI-Powered Lab to Model Complex Molecular Systems

    ITMO University and AIRI Institute have opened a virtual laboratory for molecule digital design where scientists from different cities will develop complex molecular systems using AI. They will train AI to analyze and predict the properties of molecules, generate custom-built molecular systems, and design more advanced algorithms. The findings are expected to accelerate the development of medications, materials, and molecular complexes.

    02.06.2026

  • ITMO-Developed Analytics System Improves Search Systems and AI Assistants

    ITMO University researchers have released DocuMentor, a data processing library that can help analyze and extract the hierarchical structure of documents. Based on a vision-language model (VLM) for optical character recognition, the library identifies the location of elements in a PDF file with a 98% accuracy. The new tool can make documents machine-readable for subsequent integration into efficient corporate search systems and AI assistants. The Russian Ministry of Construction, Housing and Utilities will be using the tool to create a regulations database.

    05.05.2026

  • Russian Scientists Propose More Accurate Update Method for Recommendation Systems, No Retraining Needed

    Researchers at AI VK and ITMO’s Laboratory for Multiagent Modeling and Adaptive Intelligence have proposed a more precise way to update recommendation algorithms that will help reduce the computational costs of updating ML models while preserving backward compatibility.

    23.04.2026

  • Russia Proposes First Competence Model for Physical AI Specialists

    In collaboration with ITMO, HSE, MAI, MEPhI, and MIPT, Yandex has launched Russia’s first competence model for specialists in physical AI – a comprehensive roadmap that outlines the essential knowledge and skills that specialists need to produce robots and other AI-assisted autonomous vehicles. The developed model became the basis for Yandex Physical AI Garage – a collaborative program by Yandex and its partner universities. At ITMO, the program will be implemented as a separate track within the Robotics and Artificial Intelligence Bachelor’s program.

    22.04.2026

  • Russian Scientists Help Recommendation Systems Understand Users Better

    Researchers from ITMO University, Sberbank’s Practical AI Center, AIRI Institute, and Innopolis University have found a way to distill deep semantic knowledge from large language models (LLMs) into lightweight recommendation systems. For users, this means more accurate recommendations for products, movies, and other content and a stable service performance, with recommendations being generated as quickly as with the original compact model. The findings of the study were reported at ECIR 2026.

    20.04.2026