International Data Analysis Olympiad (IDAO) to Be Held for the Second Time
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.
HSE University and Samolet to Train Data Analysts in Development
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.
‘Smart and Bright: Winners of Data Analysis National Olympiad Announced
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.
Machine Learning Algorithm to Reduce Tester Workload
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.
Over 7,000 Students Take Part in Data Analysis National Olympiad
Data analysis enthusiasts from different regions of Russia and 13 foreign countries recently took part in the Data Analysis National Olympiad (DANO). The results of the first round will be announced on October 20th.
HSE University Hosts Third Summer School on Machine Learning in Bioinformatics
Between August 23rd and 25th, the HSE Faculty of Computer Science held its annual summer school on machine learning in bioinformatics. After two years of being held online, the school returned to an offline format for this year. Over three days, more than 120 participants attended lectures and seminars by leading experts in the field from institutions such as HSE University, Skoltech, AIRI, MSU, MIPT, Genotek, and Sber Artificial Intelligence Laboratory.
Machine Learning Helps Improve Perovskite Solar Cells
A team of researchers from HSE MIEM, LPI RAS, and the University of Southern California have applied machine learning to the analysis of internal defects in perovskite solar cells and proposed ways to improve their energy efficiency. The findings of the study performed on the Cs2AgBiBr6 double perovskite can be used to develop more efficient and durable perovskite-based materials. The paper has been published in the Journal of Physical Chemistry Letters.
HSE Faculty of Computer Science Celebrates its First Graduates of the Data Science and Business Analytics Programme
At the beginning of July, the Data Science and Business Analytics programme at the HSE Faculty of Computer Science held its first graduation ceremony. Most graduates have already found jobs in various fields—Data Science, development, product management, systems analysis, and so on. Many of the bachelors plan to continue their studies at the best international and Russian universities, but they are not going to say goodbye. ‘We have been and will always be one big team,’ they say.
HSE Faculty of Computer Science and Skoltech Hold Math of Machine Learning Olympiad 2022
HSE's Faculty of Computer Science and the Skolkovo Institute of Science and Technology have held the Mathematics of Machine Learning Olympiad for the fifth time. The participants competed for prizes and the opportunity to matriculate at two universities without exams by enrolling in the HSE and Skoltech joint master's programme in Math of Machine Learning.
Bachelor's Programme in Data Science and Business Analytics Accredited by AI Alliance Russia
The ‘Data Science and Business Analytics’ bachelor’s programme at HSE Faculty of Computer Science has received professional and public accreditation by the AI Alliance Russia. This is the third programme of the faculty that has received accreditation from the AI Alliance Russia, following the bachelor's programme in ‘Applied Mathematics and Information Science’ and the master’s programme in ‘Financial Technologies and Data Analysis’.
Helping the Homeless with AI Technology
A research team from the HSE University Artificial Intelligence Centre led by Ivan Yamshchikov has developed a model to predict the success of efforts to rehabilitate homeless people. The model can predict the effectiveness of the work of organisations for the homeless with about 80% accuracy. The project was presented at a conference dedicated to the activities of social centres.