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<font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt"><b>Announcing a FRIB-Theory Alliance Summer School: “</b></span></font><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt">Machine
Learning Applied to Nuclear Physics”</span></font></span></font></div>
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<div style="margin:0px"><font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt"><b> </b></span></font></span></font></div>
<div style="margin:0px"><font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt">Machine Learning is one of the most exciting and dynamic areas of modern research and application.
The purpose of this summer school is to provide an introduction to the core concepts and tools of machine learning in a manner easily understood and intuitive to physicists and nuclear physicists in particular. We will start with some of the basic methods
from supervised learning, such as various regression methods before we move into deep learning methods for both supervised and unsupervised learning, with an emphasis on the analysis of nuclear physics experiments and theoretical nuclear physics. </span></font></span></font></div>
<div style="margin:0px"><font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt">Hands-on examples will be provided and the aim is to give the participants an overview on
how machine learning can be used to analyze and study nuclear physics problems. </span></font></span></font></div>
<div style="margin:0px"><font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt"> </span></font></span></font></div>
<div style="margin:0px"><font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt">Lecturers:</span></font></span></font></div>
<div style="margin:0px"><font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt">Morten Hjorth-Jensen (FRIB/NSCL and Physics & Astronomy MSU) - Linear and logistic regression,
decision trees and random forests, neural networks and Boltzmann machines</span></font></span></font></div>
<div style="margin:0px"><font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt">Matthew Hirn (CSME and Math MSU) - Unsupervised learning and quantum mechanical problems</span></font></span></font></div>
<div style="margin:0px"><font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt">Michelle Kuchera (Davidson College) -</span></font><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt"> </span></font><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt">Convolutional
Neural Networks, Recurrent Neural Networks and analysis of nuclear physics experiments</span></font></span></font></div>
<div style="margin:0px"><font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt"> </span></font></span></font></div>
<div style="margin:0px"><font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt">Date and location:</span></font></span></font></div>
<div style="margin:0px"><font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt">May 20-23, 2019 at the FRIB, East Lansing, MI</span></font></span></font></div>
<div style="margin:0px"><font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt"> </span></font></span></font></div>
<div style="margin:0px"><font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt">For more information and to apply for the summer school visit the</span></font><font size="2" face="Calibri,sans-serif"><span style="font-size:11pt"> </span></font><a href="https://gcc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmail.vuu.edu%2Fowa%2Fredir.aspx%3FC%3DQ65Wr7EUb_WQV0GcoOkRkgsSFr0V4eaXXLzaesp4DGpbiljDTL_WCA..%26URL%3Dhttps%253a%252f%252findico.frib.msu.edu%252fevent%252f16%252f&data=02%7C01%7C%7C75e6589ddb59499abe0808d6bf7df4c5%7Cb4d7ee1f4fb34f0690372b5b522042ab%7C1%7C0%7C636906945022483461&sdata=j5clIf3miMsYkQlJBw4bKyRM3%2BlTSST%2BWjjsQXd1dPs%3D&reserved=0" originalsrc="https://mail.vuu.edu/owa/redir.aspx?C=Q65Wr7EUb_WQV0GcoOkRkgsSFr0V4eaXXLzaesp4DGpbiljDTL_WCA..&URL=https%3a%2f%2findico.frib.msu.edu%2fevent%2f16%2f" shash="DGukikLG5do2wfRx0AVdsEAj9+TtPF5EIVdc5tXoTIjNE/dX1yDj+iFpMYeHyjG0dXZbo++cdEPnLm2SgQf0raWgvTXWQ60KzDOKGY6qB09gNGp4B01CgfQZD4m+178/oNdO6IxtBdJ6GMFQnbC4+ITCtkzNC5pbETn4PllaUcI=" originalsrc="https://mail.vuu.edu/owa/redir.aspx?C=Q65Wr7EUb_WQV0GcoOkRkgsSFr0V4eaXXLzaesp4DGpbiljDTL_WCA..&URL=https%3a%2f%2findico.frib.msu.edu%2fevent%2f16%2f" shash="aks0xtAyHETYHqlPR8DwrAn2YXCNGy+k0iMYX8/8ll5sPESoZ+oAN9IBQMOfEFKkE+GgqWwje1ifUTx52asIwjoe+88619X9WcEUCgeYfb3gQ+LkmtFCsc4ZR0Eo16bIOR8rsRxIVf8Plv067o23UczgPcVsP03tl4KyMhmi88o=" target="_blank" rel="noopener noreferrer" id="LPlnk558716" class="OWAAutoLink" previewremoved="true"><font face="Calibri,sans-serif"><font size="2" color="#954F72"><span style="font-size:11pt">website</span></font></font></a><font face="Calibri,sans-serif" color="#0563C1">.</font></span></font></div>
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