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Regular version of the site

Research & Expertise news at HSE University, April 23, 2025

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May 16, 12:00
International PhD Seminar. Speakers: Yeni Rakhmawati, Elizaveta Lysova-Golomzina, Kate Andronova
May 16, 16:00

International Round Table: “Chinese Perspective on Trump's 'Revolution'

May 17 – May 18
S.-T. Yau College Student Mathematics Contest

Registration deadline - April 30 

Jun 6
India Day 2025 at IOCS

Application deadline: May 20 

Illustration for news: HSE Develops Its Own MLOps Platform

HSE 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. In the future, the platform may host AI assistants to simplify educational processes, provide medical support, offer consultations, and solve a wide range of other tasks. Creators of AI technologies will be able to obtain a ready-to-use service within just a few hours. Utilising HSE’s supercomputer, the service can be launched in just a few clicks.

Illustration for news: Habits Stem from Childhood: School Years Found to Shape Leisure Preferences in Adulthood

Habits Stem from Childhood: School Years Found to Shape Leisure Preferences in Adulthood

Moving to a big city does not necessarily lead to dramatic changes in daily habits. A study conducted at HSE University found that leisure preferences in adulthood are largely shaped during childhood and are influenced by where individuals spent their school years. This conclusion was drawn by Sergey Korotaev, Research Fellow at the HSE Faculty of Economic Sciences, from analysing the leisure habits of more than 5,000 Russians.

Illustration for news: Russian Scientists Reconstruct Dynamics of Brain Neuron Model Using Neural Network

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.

Illustration for news: Russian and Chinese Scholars Share Experience of Transformation of Doctoral Education

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. However, 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 contrasting trajectories and the reforms undertaken in each country in recent decades were the focus of a roundtable discussion held as part of the 25th Yasin (April) International Academic Conference.