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Laboratory of Methods for Big Data Analysis (LAMBDA) of the Faculty of Computer Science, HSE University held the sixth summer school on Machine Learning in High Energy Physics (MLHEP) on July 16-30. The school was organised in cooperation with Yandex School of Data Analysis and EPFL High Energy Physics Laboratory. This year the school was listed as an official EPFL course with 4 ECTS credits awarded to the participants successfully passing the school requirements.

𝐋𝐀𝐌𝐁𝐃𝐀 scientists Andrey Ustyuzhanin and Denis Derkach have participated as speakers at the Open conference on artificial intelligence “𝐎𝐩𝐞𝐧𝐓𝐚𝐥𝐤𝐬.𝐀𝐈”

Tracking Machine Learning challenge (TrackML) has been organized throughout 2018 and 2019 by a team of particle physicists and tracking experts to reach out to Computer Science and Machine Learning expertise of the wider community.

The Higher School of Economics has joined the LHCb collaboration at the Large Hadron Collider, which is operated by the European Organization for Nuclear Research. The group from HSE will consist of researchers from the Laboratory of Methods for Big Data Analysis (LAMBDA). This will give HSE researchers full access to data from the collaboration and allow the university to participate in various projects.

The cost of SHiP detector to be reduced by 25%

National Research University Higher School of Economics hosted a masterclass in particle physics on March 27 and brought high school students to participate. These students took a day off from school to go to the University and dive into the actual data. Scientists of the HSE Laboratory of Methods for Big Data Analysis (LAMBDA) Denis Derkach and Fedor Ratnikov introduced them to the tiniest building blocks of the universe and to the accelerators and detectors which probe these mysterious particles.

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.

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). 

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.