BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:HSF+IML Joint Seminar - WhAM (Whale Acoustics Model)
DTSTART:20261014T140000Z
DTEND:20261014T150000Z
DTSTAMP:20261114T222800Z
UID:indico-event-1730035@indico.cern.ch
DESCRIPTION:The HEP Software Foundation\nThe HEP Software Foundation faci
 litates cooperation and common efforts in High Energy Physics software and
  computing internationally. There are several focus activity areas: Data 
 analysis\, detector simulation\, physics generators\, pyHEP\, Julia in HEP
 \, reconstruction and software triggers\, software developer tools and pac
 kaging\, and training.The HSF hosts workshops\, provides strategic input a
 nd generally raises awareness on the importance of HEP software.\nSign up 
 to HSF mailing lists here.\nHSF Seminars\nHSF Seminars are nominally hoste
 d on the last Wednesday of each month. Presentations are recorded (given c
 onsent) and put on YouTube.See the full series on indico here!\nSign up to
  announcements for future HSF seminars as well as other HSF events by join
 ing hsf-forum@googlegroups.com (sign up instructions).\nHave a seminar top
 ic idea? Send an email to hsf-seminar-conveners@googlegroups.com (current 
 organisers are Nicole Skidmore\, Michel Jouvin and Claire Antel)\n \nIML 
 - Inter-Experimental LHC Machine Learning Working Group\nIML organizes mon
 thly meetings on a variety of subjects. These meetings are often topic-or
 iented (focusing on a certain ML technique) and may include external exper
 ts. Each year IML organizes an annual workshop typically comprised of roug
 hly 300 participants\, which includes invited data scientist’s talks\, s
 ubmitted talks\, and tutorials. This year's IML workshop is happening 9-13
 th Nov (next month!).\nIML also serves as entry point to find LHC specific
  machine learning resources\, such as software solutions for machine lea
 rning starting from the common ROOT file format. We build a forum for comm
 unity driven summaries of software solutions\, announce LHC tailored train
 ings/school\, and list relevant papers and people involved. We can help fi
 nding temporary hardware resources (GPUs) for tests. We are currently bu
 ilding up a database with benchmarks datasets and challenges in order to 
 better enable testing new methods in our domain against previous ones.\n 
 \n\nhttps://indico.cern.ch/event/1730035/\n\nZoom: https://cern.zoom.us/j/
 65676140079?pwd=pH7VereIbjfV85ho0woMGAhFDAUmjM.1
LOCATION:40/S2-D01 - Salle Dirac (CERN)
URL:https://indico.cern.ch/event/1730035/
END:VEVENT
END:VCALENDAR