The fundamental problem of processing big data lies in the data's diversity and abundance. Analysing heterogeneous information allows for a more complete description of reality to be formed, enabling more accurate forecasting. At the same time, volumes of such data are growing at an exponential rate, and special preparation is required to work with big data effectively. With the aim of creating a world-class practical centre to improve expertise in big data processing and analysis, the LAboratory of Methods for Big Data Analysis (LAMBDA) was created in February 2015.
LAMBDA currently focuses on using machine-learning and data analysis methods to solve issues in fundamental sciences such as particle physics and astrophysics. The Laboratory’s main developmental direction is to work with leading scientists from these fields to search for answers to the universe’s mysteries. Specifically, the Laboratory cooperates with the European Organization for Nuclear Research (CERN), researching the events of the Large Hadron Collider and raising the efficiency of data analysis.
In addition, the Laboratory’s educational activities include organizing and carrying out academic seminars and summer/winter schools on big data analysis and providing scientific guidance to thesis and dissertation work.
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.
There is a reception of applications for the fourth summer school "Machine Learning in High Energy Physics"
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).