BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Plone.org//NONSGML plone.app.event//EN
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VEVENT
SUMMARY:Machine Learning at the CMS experiment with selected examples
DTSTART;TZID=Europe/Berlin:20220505T101500
DTEND:20220505T110000
DTSTAMP:20260424T110240Z
UID:393dc69811af48c597dbcf4d507d4d59@www.uni-bonn.de
CREATED:20220428T193419Z
DESCRIPTION:Invited presentation within the Particles Physics Seminar by D
 r. Mehmet Özgür Sahin (Université Paris-Saclay)\n\nMachine learning (ML
 ) algorithms are widely used in HEP experiments. Recent advancements in de
 ep learning techniques contributed to the explosive growth of their applic
 ations. With the planned High Luminosity upgrade of the CERN Large Hadron 
 Collider (LHC)\, the deep learning techniques will be even more prominent 
 and are expected to be used in almost every step of readout and analysis o
 f data collected by the Compact Muon Solenoid (CMS) detector. In this talk
 \, examples of this wide variety of ML applications from data acquisition 
 and reconstruction to end-to-end analyses will be presented. In addition\,
  future applications being explored by the IRFU CMS group will be discusse
 d.\n\nKindly supported by the Bonn Global Cooperation Fund
LAST-MODIFIED:20221130T101621Z
URL:https://www.uni-bonn.de/de/veranstaltungen/machine-learning-at-the-cms
 -experiment-with-selected-examples
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
DTSTART:20220327T030000
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR