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Regular version of the site

News

Summer School on Machine Learning in High Energy Physics Took Place

Summer School on Machine Learning in High Energy Physics Took Place
On July 15-30, the Seventh International School on Machine Learning in High Energy Physics (MLHEP) organised by the Laboratory of Methods for Big Data Analysis (LAMBDA), Yandex School of Data Analysis and EPFL (Switzerland) took place.

Imperial Collegue London Machine Learning & Deep Learning online-course

Imperial Collegue London Machine Learning & Deep Learning online-course
Artem Maevskiy, LAMBDA researcher, participated in giving an Imperial Collegue London (ICL) Machine Learning & Deep Learning online-course.



‘We Facilitate High-Speed Car Crashes and Study How Car Engines Work Based on Photos of Flying Debris’

Nikita Kazeev
Nikita Kazeev holds a Candidate of Sciences degree (Russian equivalent of a PhD) in Computer Science and a PhD in Physics. He is a Research Fellow at the LAMBDA Laboratory and works at CERN. In an interview with HSE News Service, he talked about what it was like to defend his dissertation in a double doctoral degree programme at HSE University and Sapienza University of Rome, what it is like to conduct research in Geneva, and why it is imperative to communicate with colleagues.

HSE Researcher Appointed Coordinator in Large Hadron Collider Experiment

HSE Researcher Appointed Coordinator in Large Hadron Collider Experiment
Mikhail Guschin, Research Fellow at the HSE University Laboratory of Methods for Big Data Analysis of the Faculty of Computer Science, was appointed coordinator of the machine learning and statistics working group in the LHCb Large Hadron Collider experiment at CERN (the European Organization for Nuclear Research). He will be the only representative of a Russian University among the coordinators for the experiment’s working groups.

Sixth Summer School on Machine Learning in High Energy Physics is completed

Sixth Summer School on Machine Learning in High Energy Physics is completed
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.

Conference on artificial intelligence “𝐎𝐩𝐞𝐧𝐓𝐚𝐥𝐤𝐬.𝐀𝐈”

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

TrackML challenge

TrackML challenge
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.

HSE Becomes LHCb Associate Member at CERN

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.

Machine Learning Helping to Save Money at CERN

Machine Learning Helping to Save Money at CERN
The cost of SHiP detector to be reduced by 25%

Masterclasses Introduce High School Students to Particle Physics

Masterclasses Introduce High School Students to Particle Physics
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.