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The AI Lunch Series will be hosting <span style="margin: 0px; background-color: rgb(255, 255, 255); display: inline !important">Dr. Alex Radovic (Borealis AI) this Wednesday for a presentation on <span style="margin: 0px; background-color: rgb(255, 255, 255); display: inline !important">“Deep
Learning at the Frontier of Particle Physics”. Additional information can be found at: </span></span><a href="https://www.jlab.org/AI/lunch_series/2020" target="_blank" rel="noopener noreferrer" style="margin: 0px">https://www.jlab.org/AI/lunch_series/2020</a></div>
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<div style="margin: 0px"><span style="margin: 0px">12-1PM, Wednesday, May 13, 2020</span></div>
<div style="margin: 0px"><span style="margin: 0px">Join with Bluejeans:<span> </span><a href="https://bluejeans.com/444866022" target="_blank" rel="noopener noreferrer" style="margin: 0px">https://bluejeans.com/444866022</a><br>
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Abstract: "Our knowledge of the fundamental particles of nature and their interactions is elegantly summarized by the standard model of particle physics. Advancing our understanding in this field has required experiments that operate at ever higher energies
and intensities, which produce extremely large and information-rich data samples. The use of advanced machine-learning techniques is revolutionizing how we interpret these data samples, greatly increasing the discovery potential of present and future experiments.
This talk will summarize the challenges and opportunities that come with the use of deep learning at the frontiers of particle physics, with a particular focus on examples from the thriving subfield of neutrino physics."<br>
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If you have questions, contact tennant@jlab.org.</div>
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