• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

HSE University and Yandex to Host International AI Olympiad for Students

HSE University and Yandex to Host International AI Olympiad for Students

© HSE University

The HSE Faculty of Computer Science and Yandex Education are launching their first joint AI competition, Artificial Intelligence and Data Analysis Olympiad (AIDAO), for students from around the world. Participants will tackle challenging tasks in science and industry and interact with experts from HSE and Yandex. The winners will receive cash prizes.

Students from technical programmes at Russian and international universities are eligible to participate. The goal of the Olympiad is to identify talented students and challenge them with tasks that require innovative thinking and in-depth knowledge. First place winners will receive 600,000 roubles, second place—450,000 roubles, and third place—300,000 roubles.

Nikita Anisimov

‘We see the demand for AI experts growing every year, and HSE is one of the top Russian universities for training AI specialists. We have extensive experience in organising various types of Olympiads, and together with Yandex, a recognised industry leader and our long-time partner, we aim to create a synergy that will allow students from different countries to showcase their talents in AI and big data. This Olympiad will help them fully realise their potential both during their studies and in their future careers,’ said HSE University Rector Nikita Anisimov.

The Olympiad consists of two stages: online and offline. Registration for the first stage will start on September 9 and last until October 5, 2024. Students must complete one task on the Yandex Contest platform to participate. All submissions will be automatically checked in the first stage. If the task is solved correctly and meets the requirements, participants will advance to the next round.

The second stage will take place from November 30 to December 2, 2024, in Moscow. Projects will be evaluated by a panel of experts, including Evgeny Sokolov, Head of the Big Data and Information Retrieval School at the HSE Faculty of Computer Science, Elena Kantonistova, Academic Supervisor of the HSE Artificial Intelligence Programme, Aleksey Tolstikov, Head of Yandex School of Data Analysis, Alexander Mamaev, Head of ML at Yandex Taxi, and Denis Derkach, Director for Applied Research and Development at the AI and Digital Science Institute and Head of the Laboratory of Methods for Big Data Analysis (LAMBDA) at the HSE Faculty of Computer Science.

Darya Kozlova

‘Yandex continues to develop educational formats to address the shortage of highly qualified professionals in the field of artificial intelligence. We currently offer bachelor's, master's, and doctoral programmes in AI. This year, we introduced interdisciplinary programmes on neural networks for students from various fields, and now, together with HSE University, we are launching the first international Olympiad. Our goal is to share expertise and create conditions for talented students to gain experience aligned with industry needs,’ noted Darya Kozlova, Director of Yandex Education.

The Olympiad tasks are created by researchers and experts from Yandex and HSE University and are based on real-world product cases. For example, the tasks include predicting satellite positions using AI, estimating taxi drivers’ waiting times, or interpreting physiological data using computer vision and data analysis knowledge.

The assignment texts will be provided in English. To complete them, participants need to have a good understanding of mathematical statistics, probability theory, basic algorithms and data structures, time series analysis, fundamental machine learning techniques, and deep learning frameworks. Additionally, they should be able to work with data, be proficient in Python programming, and have skills in teamwork and presenting results.

To participate in the Olympiad, you can submit a team application (comprising 2-3 members) or join existing teams.

Sign up for AIDAO

See also:

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.

AI vs AI: Scientists Develop Neural Networks to Detect Generated Text Insertions

A research team, including Alexander Shirnin from HSE University, has developed two models designed to detect AI-generated insertions in scientific texts. The AIpom system integrates two types of models: a decoder and an encoder. The Papilusion system is designed to detect modifications through synonyms and summarisation by neural networks, using one type of models: encoders. In the future, these models will assist in verifying the originality and credibility of scientific publications. Articles describing the Papilusion and AIpom systems have been published in the ACL Anthology Digital Archive.

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.

‘Many Want to Create AI-Based Products and Become More Competitive’

In 2024, the online Russian-taught master’s programme ‘Artificial Intelligence,’ offered by the HSE Faculty of Computer Science, saw a record number of first-year students—over 300. What accounts for such a high interest in AI, how the curriculum is structured, and what new skills will graduates acquire? Elena Kantonistova, the programme’s academic director, shares more.

'I Would Like to Leave a Lasting Impact on Science'

Aibek Alanov pursues his own scientific research and leads two teams of scientists, one at HSE University and the other at AIRI. In this interview for the HSE Young Scientists project, he explores the parallels between today's AI researchers and early 20th-century physicists, discusses generative models, and shares his passion for bachata partner dancing.

HSE’S Achievements in AI Presented at AIJ

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

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.

AI on Guard of Ecology: Students from Russia and Belarus Propose New Solutions to Environmental Problems

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.

Taming the Element: How AI Is Integrating into the Educational Process Around the World

Artificial intelligence is gradually becoming an indispensable part of higher education. Both students and teachers use it to reduce the volume of routine tasks and expand their capabilities. The limitations and prospects of AI are discussed in the report ‘The Beginning of the End or a New Era? The Effects of Generative Artificial Intelligence (GAI) in Higher Education,’ published in the journal Modern Education Analytics, under the scientific supervision of HSE Academic Supervisor Yaroslav Kuzminov.

A New Tool Designed to Assess AI Ethics in Medicine Developed at HSE University

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.