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sphenix-maps-l - [Sphenix-maps-l] FW: Brookhaven AI/ML Seminar (AIMS): Philip Harris (MIT), Tuesday, May 3rd at 12PM ET

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  • From: "Huang, Jin" <jhuang AT bnl.gov>
  • To: "sphenix-maps-l AT lists.bnl.gov" <sphenix-maps-l AT lists.bnl.gov>, "sphenix-trigger-l AT lists.bnl.gov" <sphenix-trigger-l AT lists.bnl.gov>
  • Subject: [Sphenix-maps-l] FW: Brookhaven AI/ML Seminar (AIMS): Philip Harris (MIT), Tuesday, May 3rd at 12PM ET
  • Date: Tue, 26 Apr 2022 20:32:09 +0000

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ORGANIZER;CN="Medaglia, Nicole";SENT-BY="mailto:jhuang AT bnl.gov":mailto:medaglia
 @bnl.gov
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 aps-l AT lists.bnl.gov:mailto:sphenix-maps-l AT lists.bnl.gov
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ATTACH:CID:32E52CC4133AEA4AA54EADC2DD1799B1 AT namprd09.prod.outlook.com
DESCRIPTION;LANGUAGE=en-US:Dear Friends\n\nYou might be interested in the f
 ollowing seminar next Tuesday 12PM ET that is open to BNL user communities
 . And the speaker Philip Harris is also collaborating on the sPHENIX FastM
 L project.\n\nCheers\n\nJin\n\n\nSubject: Brookhaven AI/ML Seminar (AIMS):
  Philip Harris (MIT)\, Tuesday\, May 3rd at 12PM ET\nWhen: Tuesday\, May 3
 \, 2022 12:00 PM-1:00 PM (UTC-05:00) Eastern Time (US & Canada).\nWhere: h
 ttps://bnl.zoomgov.com/j/1615894189?pwd=NkRjTDNqRzdINXkwZzBnWllIdEdvUT09\n
 \n\nBrookhaven AI/ML Seminar (AIMS):\n\nTime/Date: 12:00 PM ET\, Tuesday\,
  May 3rd\, 2022\n\nSeminar Speaker: Philip Harris (MIT)\n\nTitle: Using De
 ep Learning to observe the Higgs Boson in Real-time\nAbstract: With a raw 
 data rate exceeding 1 Petabit per second\, particle detectors at the Large
  Hadron Collider(LHC) at the Europe Center for Nuclear Research (CERN) con
 tend with some of the largest data rates ever encountered. With planned up
 grades in the near future\, these rates will continue to grow\, further co
 mplicating our ability to process data effectively to continue understandi
 ng the universe's fundamental properties. To process data in real-time\, w
 e rely on specialized computing systems using Field Programmable Gate Arra
 ys (FPGAs) and\, in later stages of data acquisition\, Graphics Processor 
 Units(GPUs). Despite the enormous challenge\, we are finding that deep lea
 rning is not only capable of handling these incredible data rates but is s
 ignificantly enhancing our ability to process data in real-time. In this t
 alk\, we present a strategy for integrating deep learning into the LHC dat
 a acquisition. We show how it dramatically improves the quality of physics
  measurements we can perform downstream.  Finally\, we discuss the scienti
 fic implications emerging from this work in a broad range of scientific fi
 elds\, including nuclear physics\, astrophysics\, materials science\, and 
 neuroscience.\n\nHost: Jin Huang\, Physics Department\n\nIndico Site: http
 s://indico.bnl.gov/event/15389/\n\n---------------------------------------
 --------------------------------------------------------------------------
 ------------\nYou are invited to a ZoomGov meeting.\nWhen: May 3\, 2022 12
 :00 PM Eastern Time (US and Canada)\n\nRegister in advance for this meetin
 g:\nhttps://bnl.zoomgov.com/meeting/register/vJIsdumqrTgtHcbntruScLROFe5tQ
 GymWoA\n\nAfter registering\, you will receive a confirmation email contai
 ning information about joining the meeting.\n
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SUMMARY;LANGUAGE=en-US:FW: Brookhaven AI/ML Seminar (AIMS): Philip Harris (
 MIT)\, Tuesday\, May 3rd at 12PM ET
DTSTART;TZID=Eastern Standard Time:20220503T120000
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Attachment: CSI_AIMS Seminar_ Philip Harris_ May 3 2022.pdf
Description: CSI_AIMS Seminar_ Philip Harris_ May 3 2022.pdf



  • [Sphenix-maps-l] FW: Brookhaven AI/ML Seminar (AIMS): Philip Harris (MIT), Tuesday, May 3rd at 12PM ET, Huang, Jin, 04/26/2022

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