News

The Fourth Machine Learning summer school (MLHEP 2018) will be held in Oxford, UK from 6 to 12 August 2018. https://indico.cern.ch/event/687473/

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.

From 17 to 23 July the third international school "Machine Learning in High Energy Physics 2017" (MLHEP 2017) will be held in the city of Reading, Great Britain. Within the framework of the summer school there will be lectures and seminars, which will demonstrate real examples of how modern technologies of machine learning allow us to give more precise answers to questions about the structure of our universe.

On 27th of March the Faculty of Computer Science has hosted an international masterclass on data analysis at the Large Hadron Collider for high-school students. This worldwide event organized by CERN and coordinated by Technical University of Dresden has attracted more than 13000 students from 52 countries. The Moscow masterclass was performed in joint effort of Lyceum 1575 (Moscow), Lyceum 5 (Dolgoprudny, Moscow Region) and Kapitsa Phystech Lyceum (Dolgoprudny, Moscow Region). 

At the session of our seminar, Fyodor Ratnikov (senior researcher at LAMBDA Lab) delivered a report "Practical statistics. How do we work the statistics on Large Hadron Collider (LHC)"

Mikhail Guschin, researcher of SDA delivered the report 'Data Storage optimization by using data popularity information'.

The Summer School on Machine Learning in High Energy Physics, which was co-organised by the HSE Faculty of Computer Science and Russian internet company Yandex, has ended. Below, the Head of HSE's Laboratory of Methods for Big Data Analysis, Andrey Ustyuzhanin, talks about the various ways in which physicists and programmers cooperate. He also discusses how researchers from HSE and Yandex have been participating in CERN experiments and how ordinary smartphone users can help unravel the secrets of the universe.

On August 30, 2015, the Summer School on Machine Learning in High Energy Physics wrapped up this year’s session. The school, which was held at the St. Petersburg Academic University, was organized by HSE in cooperation with the Yandex School of Data Analysis (SDA) and the Yandex Data Factory (YDF). This school is continuing cooperation between Yandex and CERN, which involves YDF and SDA researchers working together with experimental physicists on solving current problems in the field of physics. Many tasks require using machine learning approaches, which allow for greater accuracy and efficiency in these studies.

The Summer School on Machine Learning in High Energy Physics, which was co-organised by the HSE Faculty of Computer Science and Russian internet company Yandex, has ended. Below, the Head of HSE's Laboratory of Methods for Big Data Analysis, Andrey Ustyuzhanin, talks about the various ways in which physicists and programmers cooperate. He also discusses how researchers from HSE and Yandex have been participating in CERN experiments and how ordinary smartphone users can help unravel the secrets of the universe.

On June 5 a lecture by Tiziano Camporesi (CERN) took place at the Extropolis Conference Center. The event was co-organised by the Laboratory of Methods for Big Data Analysis.