International Data Analysis Olympiad IDAO-2021 Has Started
The registration period for the International Data Analysis Olympiad (IDAO-2021) is open until March 12. The qualifying round has already begun and will run until March 31. This year, the HSE Faculty of Computer Science and Yandex are holding the Olympiad for the fourth time. This year's Platinum Partner is Otkritie Bank. The Olympiad is organised by leading data analysts for their future colleagues—early career analysts and scientists.
The online tournament will focus on the search for dark matter—one of the few remaining mysteries of fundamental physics. Dark matter cannot be seen because it does not interact with light and interacts very weakly with ordinary matter. The task of the IDAO participants is to build a model that recognises some known observation processes, so that they can be excluded from the search for dark matter.
Committee Chair, First Deputy Dean, HSE Faculty of Computer Science, HSE University
IDAO is an opportunity for aspiring data analysts from all over the world to make a name for themselves and to try their hand at real-world challenges from the world of science and business. We are proud of the diversity of our competition participants: over three years, people from all over the world, from Brazil to Japan, have attended IDAO. Unfortunately, in 2021, as in 2020, it was decided that both stages would have to be held online. We hope that the situation with the pandemic will soon stabalize and that we will again be able to organise a marathon of 36 intense data science hours live in our unique atmosphere.
In the qualifying round, which runs until March 31st, participants will be able to choose one of two tracks to carry out the task. The first track is a classic machine learning task, where only prediction accuracy matters. The second track is a task with time and performance constraints. This track is designed to simulate real-world conditions, where not only the solution itself is important, but also how it was obtained. The first round task will traditionally be presented by LAMBDA (Laboratory of Methods for Big Data Analysis) — this time in collaboration with the Association of Universities CYGNO (Italy). The platform for the competition will be Yandex.Contest.
Another tradition is to offer participants the second round task from the competition partners. In 2021, participants will be able to try their hand at solving a case from Otkritie Bank. In previous years, Yandex, QIWI, and Sberbank provided tasks.
Member of Management Board, Head of IT, Otkritie Bank
I wish all IDAO participants success in the competition. I would like to point out that IDAO is a great platform to demonstrate your abilities to employers and earn professional recognition. We are always happy to see new talents in our bank.
Every year after the competition, participants and guests can attend open lectures and master classes led by international experts in machine learning and data analysis. Previous lectures are available here.
The last on-site round of the Olympiad was held in 2019. At that time, 31 teams made it to the finals, which were held at the Yandex office. The participants were offered a task from Yandex.Taxi: it was necessary to use data analysis to learn how to predict the waiting time for the next order for a cab driver at the airport and to better understand how long they would have to wait for a client.
Head of the Moscow Branch of Yandex School of Data Analysis
The IDAO Olympiad is one of important events for community development and education at the international level. This is the fourth time that we, together with the HSE Faculty of Computer Science, have brought together cool specialists who come up with new solutions to current problems in Data Science. We hope all participants will confidently pass the qualifying round. We have no doubt that interesting tasks will motivate you to do your best in this competition.
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.
Joint Project of Scientists from HSE University and Surgut State University to Help Prevent Recurrent Heart Attacks and Strokes
One of the winning projects of a competition held by HSE University’s Mirror Laboratories last June focuses on the use of machine learning technologies to predict the outcomes of acute coronary syndrome. It is implemented by HSE University’s International Laboratory of Bioinformatics together with the Research and Educational Centre of the Medical Institute at Surgut State University. Maria Poptsova, Head of the International Laboratory of Bioinformatics and Associate Professor at HSE University’s Faculty of Computer Science, talks about how this joint project originated, how it will help patients, and how work to implement it will be organised.
On August 28–30, HSE University’s Faculty of Computer Science held the 4th Summer School on Machine Learning in Bioinformatics. This year, 670 people registered for the event, and over 300 visited in person. The programme included lectures and seminars on various spheres of bioinformatics: applied bioinformatics and the bioinformatics of DNA, RNA, and proteins; elementary genomics; modern methods of data analysis and molecular biology. The lectures were complemented by practical tasks aimed at different levels of knowledge.
Fall into ML 2023: HSE University’s Faculty of Computer Science Organises Conference on Machine Learning
On October 26–28, HSE University’s Institute of Artificial Intelligence and Digital Sciences at the Faculty of Computer Science will hold a conference titled Fall into ML 2023 withsupport from the HSE University AI Research Centre . The event is dedicated to promising directions of fundamental AI development.
HSE Researchers Examine Wellbeing of Russian Social Media Users and Rank Public Holidays by Popularity
Researchers of the HSE Graduate School of Business trained a machine-learning (ML) model to infer users' subjective wellbeing from social media posts. Having processed 10 million tweets, the researchers compiled a rating of holidays celebrated in Russia based on their popularity. The New Year tops the list, but Russian-speaking users of Twitter are also happy to celebrate Defender of the Fatherland Day, International Women's Day, and Halloween. The study findings have been published in PeerJ Computer Science.
At Sarov Technopark, Researchers from HSE Faculty of Computer Science Discussed AI for Data Analysis in Physics
The Laboratory of Methods for Data Analysis of the HSE Faculty of Computer Science, in collaboration with the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF, Sarov) and the National Centre for Physics and Mathematics, recently held the Second All-Russian School-Seminar on High Energy Physics and Accelerator Technology.
A group of researchers from the HSE Faculty of Computer Science and the Sber AI Lab has increased the speed of gradient boosting, one of the most efficient machine learning algorithms. The proposed approach will make it possible to solve classification and regression problems faster. The results of the work were presented at the NeurIPS conference.
HSE University’s Faculty of Computer Science and Samolet, one of Russia’s largest development companies, are launching a new Master’s Programme 'Data Science for Construction, Architecture and Engineering'. Samolet will finance the tuition of the 30 best applicants on the programme.
The awards ceremony for the winners of the Data Analysis National Olympiad (DANO) has taken place at the HSE Cultural Centre. This is the second time the Olympiad has been held, and was organized by HSE University together with Tinkoff. About 7,000 participants from different regions of Russia and 13 other countries took part in the event. Those coming in the top 25 of the individual ratings will be able to study at HSE University for free.
Researchers from HSE University and the Russian Technological University (RTU MIREA) have developed an intelligent system to automate software testing on a variety of platforms. Its computer vision feature is capable of recognising elements in a graphical user interface even after a redesign. The details are published in the Journal of the Siberian Federal University.