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Regular version of the site

News

HSE Launches Two New Specializations in Computer Science on Coursera

HSE Launches Two New Specializations in Computer Science on Coursera
‘Introduction to Discrete Mathematics for Computer Science’ and ‘Advanced Machine Learning’ are English-language specializations, both created with the support of the top Russian IT firm Yandex, while the specialization ‘Introduction to Discrete Mathematics for Computer Science’ was developed with the involvement of the University of California at San Diego.

Golden HSE 2017: New Way to Choose Winners

Golden HSE 2017: New Way to Choose Winners
On October 23, the first round of the annual Golden HSE competition got underway. This prize will be awarded in December for the seventeenth time. See what’s new on the ‘anti-versary’ award, and nominate your candidates.

Faculty of Computer Science Students Take Gold at BPI Challenge 2017

Faculty of Computer Science Students Take Gold at BPI Challenge 2017
Elizaveta Povalyaeva, Artem Fomenko and Ismail Khamitov, fourth-year students of Software Engineering, took first place in the student category at the BPI Challenge 2017, a business process analysis competition. They presented their solution at the 13th International Workshop on Business Process Intelligence 2017 and are the first students from Russia to participate in the event and win, with the highest-ever number of projects participating in the competition.

Research Paper Competition Winners Can Get a Headstart on Their Academic Careers

The application period for HSE’s Student Research Paper Competition has started. The winners will have an opportunity to take part in workshops on academic skills development, while those in state-financed studies will improve their chances of seeing their academic scholarships increased. Also, in addition in HSE students, learners from other academic institutions are eligible for this competition.

Bayesian Methods in Deep Learning Summer School in Moscow

Bayesian Methods in Deep Learning Summer School in Moscow
Bayesian Methods in Deep Learning Summer School was held in Moscow fron 26 to 30 August. During these five days 96 participants from 8 countries listened to lectures about Bayesian methods in deep learning and trained neural networks.

Faculty of Computer Science Staff Attend International Conference on Machine Learning

Faculty of Computer Science Staff Attend International Conference on Machine Learning
On August 6-11 the 34th International Conference on Machine Learning was held in Sydney, Australia. This conference is ranked A* by CORE, and is one of two leading conferences in the field of machine learning. It has been held annually since 2000, and this year, more than 1,000 participants from different countries took part.

Third Machine Learning Summer School Held in UK

Third Machine Learning Summer School Held in UK
On July 17-23 the Third Machine Learning summer school organized by Yandex School of Data Analysis, Laboratory of Methods for Big Data Analysis at the National Research University Higher School of Economics and Imperial College London was held in Reading, UK. 60 students, doctoral students and researchers from 18 countries and 47 universities took part in the event.

HSE Researchers Receive a Grant to Search for New Physics

HSE Researchers Receive a Grant to Search for New Physics
A team of researchers from the HSE Laboratory of Methods for Big Data Analysis (LAMBDA) has won a contest held by the Presidential Research Funding Programme. Researchers with the laboratory are developing a system of algorithms that will help physicists look for new particles in the Large Hadron Collider.

Students from HSE Computer Science Faculty Win BlockchainHack Hackathon

Students from HSE Computer Science Faculty Win BlockchainHack Hackathon
BlockchainHack, Russia's largest hackathon focusing on the development of block chain projects, took place in Moscow on the 1st and 2nd of July. Seniors from the HSE Faculty of Computer Science took home the grand prize of $50,000.

'Machine Learning Algorithm Able to Find Data Patterns a Human Could Not'

Staff from the International Laboratory of Deep Learning and Bayesian Methods
In December 2016, five new international laboratories opened up at the Higher School of Economics, one of which was the International Laboratory of Deep Learning and Bayesian Methods. This lab focuses on combined neural Bayesian models that bring together two of the most successful paradigms in modern-day machine learning – the neural network paradigm and the Bayesian paradigm.