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Regular version of the site

IDAO Online Round Results. Next Up, the Final

On February 20, the first online stage of the International Data Analysis Olympiad (IDAO) was completed. IDAO was organised by the Faculty of Computer Science of the Higher School of Economics in partnership with Harbour.Space University (Barcelona), Yandex and with the Gold sponsor, Sberbank.

A total of 902 teams registered for the Olympiad that took place earlier this year from January 15 to February 11, with 1533 participants from 55 different countries. Thirty-one of the best teams made it through to compete in the IDAO finals in April, including data analysts from Russia, Belarus, Israel, Peru, India, Brazil, Ukraine and Azerbaijan.

'Three weeks of late nights, early mornings, sleeping with collaborative filtering and waking up with gradient boosting...' — shares Samir Mammadov, a finalist from ADA University, Azerbaijan.

The final of the international Olympiad will be held in Moscow, from April 2-4, at the Yandex office site. For thirty-six hours, the participants will not only train the model but create a full-fledged prototype, which will be tested for both accuracy and performance.

This will be the first International Data Analysis Olympiad in Russia, and the organizers are pleased to see the interest in machine learning from students, company employees and others at the event.

IDAO was created by leading data analysis specialists for their future colleagues. This Olympiad aims to unite analysts, scientists, professionals and junior researchers from all over the world together on one platform.

Within the framework of the Olympiad, there will also be lectures and master-classes from international specialists in Machine Learning and Data Science.

IDAO winners will receive valuable prizes. In addition, the HSE Faculty of Computer Science and Harbor.Space University will provide the best teams with scholarships that fully cover the cost of education on their educational programmes.

See also:

‘The Goal of the Spring into ML School Is to Unite Young Scientists Engaged in Mathematics of AI’

The AI and Digital Science Institute at the HSE Faculty of Computer Science and Innopolis University organised a week-long programme for students, doctoral students, and young scientists on the application of mathematics in machine learning and artificial intelligence. Fifty participants of Spring into ML attended 24 lectures on machine learning, took part in specific pitch sessions, and completed two mini-courses on diffusion models—a developing area of AI for data generation.

‘Bots Are Simply Imitators, not Artists’: How to Distinguish Artificial Intellect from a Real Author

Today, text bots like ChatGPT are doing many tasks that were originally human work. In our place, they can rewrite ‘War and Peace’ in a Shakespearean style, write a thesis on Ancient Mesopotamia, or create a Valentine’s Day card. But is there any way to identify an AI-generated text and distinguish it from works done by a human being? Can we catch out a robot? The Deputy Head of the HSE School of Data Analysis and Artificial Intelligence, Professor of the HSE Faculty of Computer Science Vasilii Gromov explained the answer in his lecture ‘Catch out a Bot, or the Large-Scale Structure of Natural Intelligence’ for Znanie intellectual society.

Software for Rapid Detection of Dyslexia Developed in Russia

HSE scientists have developed a software tool for assessing the presence and degree of dyslexia in school students based on their gender, age, school grade, and eye-tracking data. The application is expected to be introduced into clinical practice in 2024. The underlying studies were conducted by specialists in machine learning and neurolinguistics at the HSE AI Research Centre.

HSE and Indian Institute of Technology Delhi Agree on Joint Research Projects

HSE University-St Petersburg and the Indian Institute of Technology Delhi (IIT Delhi), a leading Indian university, have agreed to launch joint research projects in the field of social, political studies, humanities, and data analysis for master's students. On the Russian side, this work will be coordinated by the HSE St Petersburg School of Social Sciences.

‘Every Article on NeurIPS Is Considered a Significant Result’

Staff members of the HSE Faculty of Computer Science will present 12 of their works at the 37th Conference and Workshop on Neural Information Processing Systems (NeurIPS), one of the most significant events in the field of artificial intelligence and machine learning. This year it will be held on December 10–16 in New Orleans (USA).

Master's Programme in 'Data Science' Accredited by AI Alliance Russia

Based on the assessment results, the programme's strengths were identified as its broad coverage of educational disciplines, in-depth exploration of theoretical aspects in machine learning, the quality of staff, and the involvement of potential employers. This is the fifth educational programme at the HSE Faculty of Computer Science to receive this prestigious professional and public accreditation.

HSE University Holds HSE Sber ML Hack

On November 17-19, The HSE Faculty of Computer Science, SBER and cloud technology provider Cloud.ru organised HSE Sber ML Hack, a hackathon based around machine learning. More than 350 undergraduate and graduate students from 54 leading Russian universities took part in the competition.

HSE University Hosts Fall into ML 2023 Conference on Machine Learning

Over three days, more than 300 conference participants attended workshops, seminars, sections and a poster session. During panel discussions, experts deliberated on the regulation of artificial intelligence (AI) technologies and considered collaborative initiatives between academic institutions and industry to advance AI development through megaprojects.

HSE University to Host ‘Fall into ML 2023’ Machine Learning Conference

Machine Learning (ML) is a field of AI that examines methods and algorithms that enable computers to learn based on experience and data and without explicit programming. With its help, AI can analyse data, recall information, build forecasts, and give recommendations. Machine learning algorithms have applications in medicine, stock trading, robotics, drone control and other fields.

New Labs to Open at Faculty of Computer Science

Based on the results of a project competition, two new laboratories are opening at HSE University’s Faculty of Computer Science. The Laboratory for Matrix and Tensor Methods in Machine Learning will be headed by Maxim Rakhuba, Associate Professor at the Big Data and Information Retrieval School. The Laboratory for Cloud and Mobile Technologies will be headed by Dmitry Alexandrov, Professor at the School of Software Engineering.