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<p><span style="font-size:12pt;font-family:TimesNewRomanPSMT">The 1st Artificial Intelligence for Nuclear Physics Winter School (AI4NP) will occur on<span class="Apple-converted-space"> </span></span><span style="font-size:12pt;font-family:TimesNewRomanPS;font-weight:700">January
11-15, 2021<span class="Apple-converted-space"> </span></span><span style="font-size:12pt;font-family:TimesNewRomanPSMT">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.</span></p>
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<p><span style="font-size:12pt;font-family:TimesNewRomanPSMT">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.</span></p>
<p><span style="font-size:12pt;font-family:TimesNewRomanPSMT">The Lecturers are<br>
Michelle Kuchera (Davidson College) Alessandro Lovato (ANL)<br>
Corey Adams (ANL)<br>
Cristiano Fanelli (MIT)<br>
Nobuo Sato (Jefferson Lab)</span></p>
<p><span style="font-size:12pt;font-family:TimesNewRomanPSMT">The detailed schedule can be found at
<a href="https://www.jlab.org/indico/event/409/timetable/#20210111" id="LPlnk640701">
https://www.jlab.org/indico/event/409/timetable/#20210111</a></span></p>
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<p><span style="font-size:12pt;font-family:TimesNewRomanPSMT">There is no fee for registration</span></p>
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The number of registrants is limited to 50 students, first come, first serve<span class="Apple-converted-space"> </span></span><span style="font-size:12pt;font-family:TimesNewRomanPSMT;color:rgb(149, 79, 114)"><a href="https://www.jlab.org/indico/event/409/" id="LPlnk">https://www.jlab.org/indico/event/409/</a></span></p>
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<p><span style="font-size:12pt;font-family:TimesNewRomanPSMT;color:rgb(149, 79, 114)"><br>
</span><span style="font-size:12pt;font-family:TimesNewRomanPSMT">Registration opens: November 20</span><span style="font-size:8pt;font-family:TimesNewRomanPSMT;vertical-align:4pt">th</span><span style="font-size:12pt;font-family:TimesNewRomanPSMT">, 2020<br>
Registration closes: December 20<span class="Apple-converted-space"> </span></span><span style="font-size:8pt;font-family:TimesNewRomanPSMT;vertical-align:4pt">th</span><span style="font-size:12pt;font-family:TimesNewRomanPSMT">, 2020</span></p>
<p><span style="font-size:12pt;font-family:TimesNewRomanPSMT">Organizers: Paulo Bedaque (UMD), Amber Boehnlein (JLab), and Tanja Horn (CUA) Sponsored by Department of Energy, Office of Science, Office of Nuclear Physics</span></p>
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