5th Fall into ML Conference to Bring Together Leading AI Researchers

The AI and Digital Science Institute at the HSE Faculty of Computer Science invites researchers, developers and everyone shaping the future of technology to the fifth, anniversary edition of the Fall into Machine Learning conference (Fall into ML 2026). The event will take place on October 23–24, 2026, at the HSE Cultural Centre in Moscow and will become the key meeting point for Russia’s AI community.
Over its five years, the conference has grown into a flagship platform where fundamental research and industry solutions come together in a shared space for discussion. In 2025, more than 700 people attended in person, while this year, marking the conference’s fifth anniversary, the organisers expect more than 1,000 guests from Lomonosov Moscow State University, the Moscow Institute of Physics and Technology, Skoltech, ITMO University and other leading Russian universities, as well as from cutting-edge research centres and major technology companies. Some 70% of participants are students and PhD students—the future of the industry—while the remaining 30% are established researchers whose publications have been accepted at top A*-level conferences such as ICML, NeurIPS, ICLR, AAAI, and COLT.
The organisers have prepared an intensive two-day programme covering the most relevant areas of machine learning, including generative modelling, diffusion models, large language models, reinforcement learning, stochastic optimisation, computer vision, robotics and autonomous systems. Participants will be able to attend mini-courses delivered by leading experts, as well as workshops on applied areas ranging from AI in finance to the interpretability of large language models.
The highlight of the second day will be a poster session, where authors of A*-level papers will present their findings to a broad audience. This will be more than just a presentation: it will be an opportunity to find like-minded researchers for future collaborations, with the format encouraging live discussion, debate around the posters and the development of new hypotheses.
Alexey Naumov
‘Fall into ML was conceived as an informal platform for communication among Russian researchers whose work is accepted at leading international A*-level conferences. In its first year, the event was a small-scale gathering, with around 30 poster presentations. Today, five years later, the conference brings together more than 1,000 participants. This year, we are taking it to a new level by opening our doors to the international research community,’ said Alexey Naumov, Director of the HSE Faculty of Computer Science’s AI and Digital Science Institute and the driving force behind the conference.
The conference offers several participation formats:
Attendee—for those who want to be at the heart of the key trends and listen to presentations by Russia’s leading researchers. Registration is open until October 20.
Workshop—for research teams with current research projects who are ready for an in-depth exploration of specific areas. Applications to run a workshop are open until September 15.
Poster session—for authors of A*-level publications who would like to present their work to a broad audience. Applications for the poster session are open until October 15.
The conference is traditionally held with the support of its general partner, Sber.
Nikolay Tiden
‘For Sber, supporting the Fall into Machine Learning conference is a strategic investment in the development of science,’ said Nikolay Tiden, Senior Managing Director and Director of the Applied AI Centre at Sberbank. ‘Over the past five years, we have seen the conference become a genuine hub for generating ideas, where fundamental research meets the challenges of industry. We value the way the organisers foster dialogue between generations: established authors of top publications and early-career researchers who are just beginning to make their mark work side by side here. In our view, this kind of vibrant interaction is the main driving force behind progress. That is why Sber consistently supports this community: we are convinced that today’s discussions on Pokrovsky Bulvar will be transformed into technological breakthroughs tomorrow.’
Andrey Savchenko
‘Fall into ML is a unique annual platform that brings together Russia’s leading artificial intelligence researchers to present the results they have achieved over the past year. It is not simply a place to present papers—it is a forum for a lively exchange of ideas between representatives of different mathematical schools: optimisation researchers, probability theorists, computational geometers, and others. They bring their approaches into contact, and entirely new research problems often emerge from this interaction. It is precisely this informal synthesis at the intersection of disciplines that makes the conference a truly valuable event for the entire Russian AI community,’ concluded Andrey Savchenko, Scientific Director of Sberbank’s Applied AI Centre and Professor at HSE University.
For more information and to submit an application, visit the conference’s official site.
See also:
HSE Researchers Present Study on Neural Network Robustness in Video Analysis at ChinaMM 2026
Researchers from HSE University presented a study at the international ChinaMM 2026 conference on how video transmission distortions affect the performance of neural networks. The authors proposed a new approach to testing the robustness of such models under conditions that closely resemble the real-world use of video services.
HSE University to Develop Predictive Analytics System for Icebreaker Motors
Industrial automation is one of the key applications of artificial intelligence. A predictive analytics system for large electric motors is among the solutions being developed for the industry as part of HSE University’s Strategic Technological Project ‘Multi-Agent Platform of AI Solutions for Industry-Specific Tasks.’ What is predictive analytics, how can it improve the operation of electric motors, and what specialists joined forces to develop this technology? Anton Zarubin, Dean of the School of Computer Science, Physics, and Technology at HSE University–St Petersburg and the project development coordinator, explains in this interview with the HSE News Service.
Scientific Expedition to Hainan: HSE Scientists Organise Conference on Statistical AI in China
The Statistical AI Conference was held in Sanya, Hainan Island, China, from 24 to 28 August 2026. The international event brought together leading experts in statistics, machine learning, and applied AI. Alexey Naumov, Director of the AI and Digital Science Institute at the HSE Faculty of Computer Science, and Sergey Samsonov, Head of the International Laboratory of Stochastic Algorithms and High-Dimensional Inference, were among the conference organisers.
HSE University Expands Cooperation with Malaysia in Technology Foresight
HSE University researchers will take part in a study of the future of engineering education in Malaysia, while the Malaysian Industry-Government Group for High Technology (MIGHT) will use the iFORA big-data analysis system to validate the findings of its foresight research. These are the outcomes of a visit by HSE representatives to Kuala Lumpur.
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.
Researchers Assess Contributions of BRICS Countries to Leading ML/AI Conferences
The HSE Scientometrics Centre analysed more than 104,000 papers published between 2020 and 2025 and presented at ten top-level A* conferences ranked by ICORE 2026. The researchers examined the contributions of Brazil, Russia, India, China and South Africa. Together, these countries accounted for around 40,800 publications, or 39.2% of the total. However, the distribution is highly uneven, and a shared BRICS research space has yet to emerge.
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.
Laboratory of Future Networks: HSE Telecommunications Research Institute Develops 5G/6G Research Testbed
The 5G/6G testbed at the HSE Telecommunications Research Institute is becoming a research platform, an educational laboratory, and a foundation for developing new software components for future networks. It makes it possible not only to observe how a mobile network operates, but also to change its operating conditions and measure the results: data-transmission speed, latency, errors, radio-resource utilisation, and other parameters. Based on the testbed, researchers plan to develop MIMO, O-RAN, xApp, and IAB technologies, as well as experiment with artificial intelligence.
‘Hedgehog’ Versus ‘Relatives’: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
Hybrid Intelligence: Competencies in the Age of AI Discussed at Technoprom-2026
Artificial intelligence is not creating new professions, but rather transforming the nature of existing ones. This was the conclusion reached by participants in the panel session ‘Hybrid Intelligence: Digital and Human Drivers of Development,’ organised by the Institute for Statistical Studies and Economics of Knowledge (ISSEK) at HSE University as part of the 13th International Forum of Technological Development (Technoprom-2026). The experts discussed how the nature of work is changing, which skills are becoming increasingly sought after, and what prevents companies from fully capitalising on new technologies.


