Tag " artificial intelligence"

Andrei Ternikov, Associate Professor at the St Petersburg School of Economics and Management at HSE University–St Petersburg, has developed a method for conducting online exams that significantly limits students’ ability to use ChatGPT and other AI models to obtain correct answers. Andrei Ternikov spoke to the HSE News Service about his approach—which won the HSE University Autumn Educational Innovation Competition, received an Alfa Future grant, and was presented at an international conference in Japan.

Researchers at the HSE AI Research Centre have developed an AI model that opens up new possibilities for the diagnosis and treatment of serious diseases, including brain cancer and neurodegenerative disorders. Using artificial intelligence, the team studied G-quadruplexes—structures that play a crucial role in cellular function and in the development of organs and tissues. The findings have been published in Scientific Reports.

In 2025, HSE University continued its participation in the Priority 2030 Strategic Academic Leadership Programme, maintaining a strong focus on technological leadership in line with the programme’s updated framework. A key element of the university’s technological leadership strategy is its Strategic Technological Projects (STPs), aimed at creating in-demand, knowledge-intensive products and services.

HSE University has been acknowledged internationally for its pioneering efforts in integrating artificial intelligence into higher education. The AI Lingua Neural Network developed at HSE was included in the renowned international collection ‘The Global Development of AI-Empowered Higher Education: Beyond the Horizon.’ The compilation was prepared by the Institute of Education (IOE) of Tsinghua University with the support of the Ministry of Education of the People's Republic of China and a global advisory committee, which included experts from Oxford, UCL, Sorbonne, and other leading academic centres.

HSE University and MTS Web Services (MWS) have announced the launch of a series of joint research initiatives in the field of artificial intelligence technologies. These efforts aim to develop innovative solutions in cybersecurity, multimodal content generation, and big data analysis. The project’s leading institution is the HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM), under the overall coordination of the HSE AI Research Centre.

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.

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.

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.

An international online hackathon dedicated to solving environmental problems was held at HSE University in Nizhny Novgorod. Students employed artificial intelligence and computer vision to develop innovative solutions for image segmentation, predictive modelling (forecasting future events based on data from the past) of emissions and creating chatbots for nature reserves and national parks.

A team of researchers at the HSE AI Research Centre has created an index to evaluate the ethical standards of artificial intelligence (AI) systems used in medicine. This tool is designed to minimise potential risks and promote safer development and implementation of AI technologies in medical practice.