• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
  • HSE University
  • News
  • International Data Analysis Olympiad (IDAO) to Be Held for the Second Time

International Data Analysis Olympiad (IDAO) to Be Held for the Second Time

International Data Analysis Olympiad (IDAO) to Be Held for the Second Time

© IDAO (International Data Analysis Olympiad)

The HSE Faculty of Computer Science and Yandex with the support of Sberbank are to organize the 2nd International Data Analysis Olympiad (IDAO). The Olympiad is held by leading experts in data analysis for their future colleagues and aims to bring together analysts, scientists, professionals, and junior researchers.

Dmitry Vetrov, Chairman of IDAO Judging Commission, HSE Professor and Head of Bayesian methods research group comments: 'Data Science is becoming one of the most important domains of human knowledge. Our civilization is at the point when we are able collect and store large amounts of data but still do not fully realize what we can do with them. There is a clear need in professionals in data science and machine learning and this need will only grow in next years. Such olympiads are excellent ways to encourage more gifted young people to become data scientists. The more data scientists we will have, the faster we will move towards AI and the creation of new post-industrial future for humanity.'

However, the methods that are proposed in articles or that are used in machine learning competitions are often not effective enough to find use in real applications. Many of them work too slowly or require too much memory, which prevents them from being used in a mobile application, for example. The IDAO is prepared to answer this challenge. Participants will try to outdo each other not only as predictions, but also in the practical effectiveness of the models used.

Complex tasks in data analysis and additional requirements for a model's performance will make the IDAO attractive for both participants in machine learning competitions and for sports programming enthusiasts. Moreover, people with different training – analysts and developers, for example – will be able to serve on teams together to create more advanced and relevant solutions.

The International Data Analysis Olympiad (IDAO) consists of two stages. The first, remote online qualifying round will be held on the Yandex.Contest platform from January 15 to February 11, 2019, and will feature two tracks. The first track is a traditional competition in machine learning. Based on the submitted data with the labels assigned to them, participants will need to make new predictions and load them into the automatic verification system. The task of the second track is to develop a solution for the same problem that fits into a tight timeframe and the memory used. The results will be released by February 18, 2019.

Only 30 best teams will receive invitations to the second stage, which is to take place at the central headquarters of Yandex on April 4-6, 2019. Over the 36 hours of competition. As part of the onsite round of the Olympiad, speeches and workshops by international experts in machine learning and data analysis are also planned. IDAO winners will receive valuable prizes. It also will be a serious advantage for students applying to the master’s degree programs at the HSE Faculty of  Computer Science.

The registration is officially open now.

 

See also:

Analysing Genetic Information Can Help Prevent Complications after Myocardial Infarction

Researchers at HSE University have developed a machine learning (ML) model capable of predicting the risk of complications—major adverse cardiac events—in patients following a myocardial infarction. For the first time, the model incorporates genetic data, enabling a more accurate assessment of the risk of long-term complications. The study has been published in Frontiers in Medicine.

‘We Bring Together the Best Russian Scientists and AI Researchers at HSE University Site’

On October 25–26, 2024, HSE University’s AI and Digital Science Institute and the AI Research Centre hold the Fall into ML 2024 conference in Moscow. This year’s event will focus on the prospects in development of fundamental artificial intelligence, with SBER as its conference title partner.

HSE Researchers Demonstrate Effectiveness of Machine Learning in Forecasting Inflation

Inflation is a key indicator of economic stability, and being able to accurately forecast its levels across regions is crucial for governments, businesses, and households. Tatiana Bukina and Dmitry Kashin at HSE Campus in Perm have found that machine learning techniques outperform traditional econometric models in long-term inflation forecasting. The results of the study focused on several regions in the Privolzhskiy Federal District have been published in HSE Economic Journal.

Programming & Real Life: Results of the PROD Olympiad

The HSE Cultural Centre recently hosted an awards ceremony for the winners of the PROD Olympiad. This is the first-ever industrial IT-development competition for 9th–11th graders in Russia, organised by HSE University, Tinkoff Bank, and the Central University (Moscow). About 4,000 people from 89 regions of Russia, as well as from Kazakhstan, Belarus, Armenia, China, and Turkmenistan, participated in the qualifying stage, with 43 people emerging as eventual winners.

Open Olympiad in Informatics for School Students Held with Participation of HSE University

The 18th Open Olympiad in Informatics was held in March at four locations; Moscow, Perm, Lipetsk and Tehran. The Olympiad included an online qualifying round and an on-site final round, which was attended by 435 schoolchildren from many countries, including Russia, Azerbaijan, Bangladesh, Belarus, Bulgaria, China, Cuba, Egypt, Georgia, and Germany. The event was co-organised by HSE University.

‘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).