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All newsHSE Develops Its Own MLOps Platform
HSE researchers have developed an MLOps platform called SmartMLOps. It has been created for artificial intelligence researchers who wish to transform their invention into a fully-fledged service. Utilising HSE’s supercomputer, the service can be launched in just a few clicks.
Nobel Laureate Proposes Solution to Markov Equilibrium Problem
In dynamic games, a Markov equilibrium involves strategies that guide players' behaviour based on the current state of the game, rather than its history. But when uncertainty arises in the game, this approach can become problematic. Eric Maskin, Nobel Laureate in Economics and Professor at Harvard University, addressed this issue in a paper presented at the XXV Yasin (April) International Academic Conference on Economic and Social Development.
Genetic Prediction of Cancer Recurrence: Scientists Verify Reliability of Computer Models
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. 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.
'I Would Be Interested to Speak with Chinese Farmers'
Veronika Smirnova studies China's approach to global food security and has spent a year at Renmin University in Beijing. In this interview with the HSE Young Scientists project, she speaks about Xi Jinping's flagship initiatives, her interest in John Boyd Orr of the UN Food and Agriculture Organization (FAO), and her love for malatang and xiao long bao.
Stuck in the Net: How Much Time Children Spend Online
On average, a schoolchild spends 48 hours a week on studies—equivalent to a six-day working week for an adult. This was highlighted by experts at the round table ‘Domains of Children’s Well-Being Evaluation for Human Potential and Evidence-Based Social Policy Development,’ held as part of the 25th Yasin (April) International Academic Conference.
HSE Days in Ghana: How the University Attracts Talents and Expands Cooperation with Africa
In March 2025, HSE Days took place in the Ghanaian capital of Accra, the cultural hub of Kumasi, and the Bono East region. Representatives of the university awarded participants of the HSE International Olympiad (HSE INTO 2025) and spoke to local school pupils and university students about educational opportunities, scholarship programmes, and application pathways to HSE University.
‘HSE Is a Very Good Place: Intelligent Students, a Strong Teaching Staff’
Since March 2025, the HSE Faculty of Mathematics has welcomed a leading Russian mathematician, Doctor of Physical and Mathematical Sciences, Honorary Professor at the University of Edinburgh, National Professor of China, and recipient of the Lyapunov Prize—Sergey Kuksin. In an interview with the HSE News Service, he spoke about the role of the individual in mathematics, KAM theory, and why analysis is so relevant today.
Russian and Chinese Scholars Share Experience of Transformation of Doctoral Education
The Russian and Chinese postgraduate education systems originally borrowed their institutional frameworks from the Soviet Union. In the 21st century, they have evolved along different paths. While key performance indicators for postgraduate programmes in Russia are declining, China is seeing a rapid increase in the number of postgraduate students. These trajectories and the reforms undertaken in each country were the focus of a roundtable discussion held as part of the 25th Yasin (April) International Academic Conference.
Russian Scientists Reconstruct Dynamics of Brain Neuron Model Using Neural Network
Researchers from HSE University in Nizhny Novgorod have shown that a neural network can reconstruct the dynamics of a brain neuron model using just a single set of measurements, such as recordings of its electrical activity. The developed neural network was trained to reconstruct the system's full dynamics and predict its behaviour under changing conditions. This method enables the investigation of complex biological processes, even when not all necessary measurements are available. The study has been published in Chaos, Solitons & Fractals.
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