sPHENIX is a new detector at RHIC.

[Alexander Bazilevsky <shura AT bnl.gov>]

-------- Forwarded Message -------- Subject: Fwd: [Cuga] Artificial Intelligence for Nuclear Physics Winter School (AI4NP) - a message from Amber Boehnlein Date: Fri, 20 Nov 2020 16:48:36 -0500 From: elke-caroline aschenauer <elke.caroline AT me.com> To: Aschenauer Elke-Caroline <elke AT bnl.gov>, Bazilevsky Alexander <shura AT bnl.gov>, Chu Xiaoxuan <xuan.chu AT foxmail.com>, Eyser Oleg <keyser AT bnl.gov>, Chang Zilong <zchang AT bnl.gov>, Kiselev Alexander <ayk AT bnl.gov>, Tu Zhoudunming (Kong) <tuzhoudunming AT gmail.com>, Chang Wan <changwan AT mails.ccnu.edu.cn>, Guryn Wlodek <guryn AT bnl.gov>, Page Brian <bpage AT bnl.gov>, Fazio Salvatore <sfazio AT bnl.gov>, Nunes Ana-Sofia <anunes AT bnl.gov>, Adam Jaroslav <jadam AT bnl.gov>, Kalinkin Dima <dmitry.kalinkin AT gmail.com>, Heller Emma-Sophia <e.heller12 AT gmail.com>, Kauder Kolja <kkauder AT gmail.com>, Jentsch Alex <ajentsch AT bnl.gov>, Zhang Zhengqiao <qiao AT rcf.rhic.bnl.gov>, Ogawa Akio <akio AT bnl.gov>, Schmidke Bill <schmidke AT bnl.gov>, Ullrich Thomas <thomas.ullrich AT bnl.gov> CC: Aschenauer Elke-Caroline <elke.caroline AT me.com>

FYI

Begin forwarded message:

From: Lorelei Carlson <lorelei AT jlab.org>

Subject: [Cuga] Artificial Intelligence for Nuclear Physics Winter School (AI4NP) - a message from Amber Boehnlein

          Date: November 20, 2020 at 12:55:29 EST
            
          To: "cuga AT jlab.org" <cuga AT jlab.org>

The 1st Artificial Intelligence for Nuclear Physics Winter School (AI4NP) will occur on January 11-15, 2021 online. The goal is to give the participants a deeper understanding on what Artificial Intelligence and Machine Learning are and how they can be used to analyze data, design new detectors, controls, and calibration systems for nuclear physics experiments and perform theoretical calculations of nuclear many-body systems. The AI4NP Winter School will consist of a combination of lectures and guided hands-on exercises covering a variety of topics from the basics of neural networks to real life applications in theoretical and experimental Nuclear Physics. We are primarily targeting graduate students (both Master of Science and PhD) and post- doctoral researchers in nuclear experiment and theory, but participants of all levels of expertise are welcome including absolute beginners in the topic.

The 2021 AI4NP Winter School will proceed via Zoom owing to the Covid-19 challenge. Sessions will be held 11:00-16:00 (Eastern US Time) on each day.

                    The
                        Lecturers are
                        Michelle Kuchera (Davidson College) Alessandro
                        Lovato (ANL)
                        Corey Adams (ANL)
                        Cristiano Fanelli (MIT)
                        Nobuo Sato (Jefferson Lab)
                    The
                        detailed schedule can be found at https://www.jlab.org/indico/event/409/timetable/#20210111
                    
                      
                    There
                        is no fee for registration
                    
                        The number of registrants is limited to 50
                        students, first come, first serve https://www.jlab.org/indico/event/409/
                    
                    
                      Registration opens:
                        November 20th,
                        2020
                        Registration closes: December 20 th, 2020
                    Organizers:
                        Paulo Bedaque (UMD), Amber Boehnlein (JLab), and
                        Tanja Horn (CUA) Sponsored by Department of
                        Energy, Office of Science, Office of Nuclear
                        Physics

Attachment: AI4NP-WinterSchool-final.pdf
Description: Adobe PDF document

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