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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;background:white">We invite you to a workshop on AI and Scattering occurring June 21</span><sup><span style="font-family:"Arial",sans-serif;color:#222222;background:white">st</span></sup><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;background:white"> –
 June 23</span><sup><span style="font-family:"Arial",sans-serif;color:#222222;background:white">rd</span></sup><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;background:white">, 2023, at the University of Maryland, College Park. 
 In this workshop, we will explore the application of AI to electron, neutron, and x-ray scattering.  Topics of exploration will include deep learning, automation, and research data infrastructure.  The output of this workshop is expected to be a white paper
 on the status of AI for the scattering communities and present opportunities and challenges.  Online registration is available </span><a href="https://umd-mse.catalog.instructure.com/courses/ai-for-scattering" target="_blank"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#1155CC;background:white">here</span></a><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;background:white">.
  While we would strongly encourage you to come in person to participate fully in discussions and networking, hybrid options are available. They will be presented after registration (the fee is the same for in-person or virtual).  We have limited funds for
 travel support.  Please get in touch with us at </span><a href="mailto:aifs@umd.edu" target="_blank"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#1155CC;background:white">aifs@umd.edu</span></a><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;background:white"> if
 you would like to be considered for support.  Priority will be given to early career attendees.<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222">Best,<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222">Apurva Mehta, Ichiro Takeuchi, Jon Taylor, June Lau, Maria Chan, and William Ratcliff (organizers)<o:p></o:p></span></p>
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