Soft introduction to Artificial Neural Networks: Are Machines gonna conquer the world?
30 June
11:00 (Moscow time,GMT+3)

Информация на русском

30 июня состоится лекция ведущего специалиста CERN Нико Серра. Также мы подведем итоги образовательной программы "New technologies to search for new phenomena in particle physics" и анонсируем новую.

Мероприятие пройдет на платформе Zoom с прямой трансляцией на YouTube. Для получения ссылки требуется регистрация.

10:30 - подведение итогов образовательной программы CERN - НИТУ "МИСиС" и анонсирование программы осеннего семестра 2020

выступление ректора Черниковой А.А. и руководителей программы Голутвина А.И. и Шевченко В.И.

11:00 - лекция Нико Серра (на английском)
11:45 - вопросы
Information in English

On June 30, we will host a lecture by Nico Serra, a leading specialist from CERN. We will also summarize the results of the educational program "New Technologies to Search for New Phenomena in Particle Physics" and announce a new one.

The event will be held on the Zoom platform with a live broadcast on YouTube. Registration is required to receive the link.

10: 30 - Summary of the educational program by CERN and NUST MISIS and announcement of the Fall term 2020

speech by A.A. Chernikova, the NUST MISIS rector, and program managers A.I. Golutvin and V.I. Shevchenko

11: 00 - The lecture by Niko Serra (in english)
11: 45 - Q&A Session
Nico Serra
University of Zurich
Nico Serra is Professor at the University of Zurich and group leader of the Experimental Flavour Physics group. He has been one of the initiators of the SHiP experiment and he is also member of the LHCb experiment. In LHCb he has been main proponent of several important analyses, including the first measurement of the so-called B0 → K*μμ anomaly. He was awarded several prestigious grants, including the SNF Professorship in 2013, and the SNF Starting Grant in 2016.
It is evident that Artificial Intelligence is changing our world, our way to work, drive and interact with people and machines. This change is accelerating and we can assume AI will be more and more pervasive in the years to come.
Most of the algorithms behind this technology are based on (deep) neural networks.
I will discuss the basis of artificial neural networks and explain how they work.
I will also shortly discuss some of the architectures that are most popular today and that will probably have a large impact in the future.
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