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<div class="" dir="auto">Hi All,<br class="">
<br class="">
We are pleased to announce that the third MODE Workshop on Differentiable Programming for Experiment Design will take place at Princeton University on 24-26 July 2023. Forms for registration and abstract submission as well as practical information (fee, travel,
accommodations) about the workshop can be found on the workshop website:<br class="">
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<blockquote class="" style="margin:0 0 0 40px; border:none; padding:0px">
<div class=""><a href="https://indico.cern.ch/event/1242538/" class="">https://indico.cern.ch/event/1242538/</a></div>
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MODE (for Machine-learning Optimized Design of Experiments) is a collaboration of physicists and computer scientists who target the use of differentiable programming in design optimization of detectors for particle physics applications, extending from fundamental
research at accelerators, in space, and in nuclear physics and neutrino facilities, to industrial applications employing the technology of radiation detection.<br class="">
<br class="">
The 2023 workshop at Princeton University follows earlier workshops in Crete in 2022 (<a href="https://indico.cern.ch/event/1145124/" class="">https://indico.cern.ch/event/1145124/</a>) and in Louvain-La-Neuve in 2021 (<a href="https://indico.cern.ch/event/1022938/" class="">https://indico.cern.ch/event/1022938/</a>).<br class="">
<br class="">
For the organizing committee:</div>
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<div class="">Tommaso Dorigo (INFN-Padova)<br class="">
Peter Elmer (Princeton University)<br class="">
Nicolas R. Gauger (TU-Kaiserslautern)<br class="">
Pablo Martinez Ruiz del Arbol (Universidad de Cantabria)<br class="">
Roberto Ruiz de Austri Bazan (IFIC Valencia, astro-HEP)<br class="">
Pietro Vischia (Universidad de Oviedo)<br class="">
Gordon Watts (University of Washington)</div>
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