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<span style="color: rgb(0, 0, 0); font-family: Calibri, Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255); display: inline !important;">The AI Lunch Series will be hosting Tom Gibbs (NVIDIA) this Wednesday for a presentation on “The Convergence
of HPC and AI: New Methods for Computer Modeling to Address Grand Challenges in Science”. Additional information can be found at:<span> </span></span><a href="https://www.jlab.org/AI/lunch_series/2020" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-ogsc="" style="margin: 0px; font-family: Calibri, Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);">https://www.jlab.org/AI/lunch_series/2020</a><span style="color: rgb(0, 0, 0); font-family: Calibri, Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255); display: inline !important;"> </span>
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12-1PM, Wednesday, July 29, 2020</div>
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Join with Bluejeans:<span> </span><a href="https://bluejeans.com/707697867" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-ogsc="" style="margin: 0px">https://bluejeans.com/707697867</a> </div>
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Abstract: "The talk introduces the challenge with conventional modeling to address Grand Challenge problems as Moore's Law is coming to an end, and the opportunity that is being demonstrated with early examples using Converged HPC and AI Methods. These include
methods to dramatically improve the scale, accuracy and time to solution with converged modeling and simulation. Examples are given for Grand Challenge problems from multiple domains including fusion, particle physics, weather and climate, biochemistry, astrophysics,
and material science."</div>
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<span style="color: rgb(0, 0, 0); font-family: Calibri, Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255); display: inline !important;">If you have questions, contact tennant@jlab.org.</span><br>
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