HSE University Strategic Development

Tag " artificial intelligence"

‘Services Must Be Flexible’: How Governments Can Use Artificial Intelligence

‘Services Must Be Flexible’: How Governments Can Use Artificial Intelligence
The HSE International Laboratory for Digital Transformation in Public Administration held a roundtable titled ‘Artificial Intelligence in Public Administration: Current Trends.’ Scholars from Israel, China, and Russia discussed which public services AI can enhance and what key factors must be considered when adopting new technologies.

Artificial Intelligence as a Catalyst for Sustainable Development

Artificial Intelligence as a Catalyst for Sustainable Development
Artificial intelligence is transforming every aspect of life, expanding both our capabilities and our boundaries. At the same time, it presents new challenges for humanity, including concerns about safety, ethics, and environmental sustainability. Today, each neural network leaves a significant carbon footprint. However, with responsible management, AI has the potential to benefit the planet and become a cornerstone of a sustainable future economy. Panos Pardalos, Academic Supervisor of the Laboratory of Algorithms and Technologies for Network Analysis at the HSE Campus in Nizhny Novgorod, emphasised this point as he addressed the XXV Yasin (April) International Academic Conference on Economic and Social Development.

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.

Scientists Present New Solution to Imbalanced Learning Problem

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.

Megascience, AI, and Supercomputers: HSE Expands Cooperation with JINR

Megascience, AI, and Supercomputers: HSE Expands Cooperation with JINR
Experts in computer technology from HSE University and the Joint Institute for Nuclear Research (JINR) discussed collaboration and joint projects at a meeting held at the Meshcheryakov Laboratory of Information Technologies (MLIT). HSE University was represented by Lev Shchur, Head of the Laboratory for Computational Physics at the HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM), as well as Denis Derkach and Fedor Ratnikov from the Laboratory of Methods for Big Data Analysis at the HSE Faculty of Computer Science.

HSE Researchers Develop Python Library for Analysing Eye Movements

HSE Researchers Develop Python Library for Analysing Eye Movements
A research team at HSE University has developed EyeFeatures, a Python library for analysing and modelling eye movement data. This tool is designed to simplify the work of scientists and developers by enabling them to efficiently process complex data and create predictive models.

HSE’S Achievements in AI Presented at AIJ

Dmitry Chernyshenko
The AI Journey international conference hosted a session led by Deputy Prime Minister Dmitry Chernyshenko highlighting the achievements of Russian research centres in artificial intelligence. Alexey Masyutin, Head of the HSE AI Research Centre, showcased the centre’s key developments. 

Drivers of Progress and Sources of Revenue: The Role of Universities in Technology Transfer

Drivers of Progress and Sources of Revenue: The Role of Universities in Technology Transfer
In the modern world, the effective transfer of socio-economic and humanities-based knowledge to the real economy and public administration is essential. Universities play a decisive role in this process. They have the capability to unite diverse teams and, in partnership with the state and businesses, develop and enhance advanced technologies.

HSE University Leads the AI Alliance Ranking

HSE University Leads the AI Alliance Ranking
The AI Alliance Russia has released a new ranking of Russian universities based on the quality of education in the field of AI. Similar to last year, HSE University has joined the leaders in A+ group alongside MIPT and ITMO. A total of 207 universities from 69 Russian regions participated in the ranking. In 2024, over 35,000 students were enrolled in AI-related programmes at these universities.