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Begin forwarded message:<br class="">
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<span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif; color:rgba(0, 0, 0, 1.0);" class=""><b class="">From:
</b></span><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif;" class="">MIT SIAM <<a href="mailto:siam-exec@mit.edu" class="">siam-exec@mit.edu</a>><br class="">
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<span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif; color:rgba(0, 0, 0, 1.0);" class=""><b class="">Subject:
</b></span><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif;" class=""><b class="">SIAM Seminar, Wednesday (11/28) 4:30-5:30 PM, 2-105</b><br class="">
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<span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif; color:rgba(0, 0, 0, 1.0);" class=""><b class="">Date:
</b></span><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif;" class="">November 26, 2018 at 2:06:27 PM EST</span></div>
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<div style="" class=""><font face="arial, helvetica, sans-serif" class="">Could you please help us in advertising this?</font></div>
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<div style="" class=""><font face="arial, helvetica, sans-serif" class="">Thanks,</font></div>
<div style="" class=""><font face="arial, helvetica, sans-serif" class="">MIT SIAM</font></div>
<div style="" class=""><font face="arial, helvetica, sans-serif" class="">----------------</font><span style="font-family:arial,helvetica,sans-serif" class="">----------------</span><span style="font-family:arial,helvetica,sans-serif" class="">----------------</span><span style="font-family:arial,helvetica,sans-serif" class="">----------------</span><span style="font-family:arial,helvetica,sans-serif" class="">----------------</span><span style="font-family:arial,helvetica,sans-serif" class="">------------</span></div>
<div style="" class="">Join us for SIAM student seminars this week! We will be having <span style="font-family:arial,helvetica,sans-serif;font-size:12.8px;color:rgb(34,34,34)" class="">two short talks.</span></div>
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<font face="arial, helvetica, sans-serif" class=""> </font></p>
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<li style="font-family:sans-serif;margin:0in 0in 0.0001pt" class=""><font face="arial, helvetica, sans-serif" class="">Date: Wednesday, Nov 28, 4:30 PM - 5:30 PM</font></li><li style="font-family:sans-serif;margin:0in 0in 0.0001pt" class=""><font face="arial, helvetica, sans-serif" class="">Location: 2-105</font></li><li style="margin:0in 0in 0.0001pt" class=""><font face="arial, helvetica, sans-serif" class="">Refreshments provided</font></li></ul>
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<div style="" class=""><b class=""><font face="arial, helvetica, sans-serif" class="">Ali Ramadhan, Graduate <span class="gmail-il">student</span>, EAPS (Climate Science)</font></b></div>
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<div style="" class=""><b class="">Title</b>: Reducing the error bars on climate predictions</div>
<div style="" class=""><b class="">Abstract</b>: Starting with the first computational weather forecasts, a ridiculously crazy idea a hundred years ago, we'll see how modern climate models work and why uncertainties in climate predictions are so high despite
their sophistication. Then I'll talk about how we're trying to reduce uncertainties in climate predictions by developing a new climate model in Julia that runs on massively parallel GPU accelerators and learns from observations and high-resolution simulations.</div>
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<div style="" class=""><b style="font-family:Arial,Helvetica,sans-serif" class=""><font face="arial, helvetica, sans-serif" class="">Sam Raymond, Graduate <span class="gmail-il">student</span>, </font></b><b class="">Civil and Environmental Engineering</b></div>
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<div dir="ltr" class=""><b class="">Title</b>: Teaching a Neural Network Physics to help us design complex devices.</div>
<div dir="ltr" class=""><b class="">Abstract</b>: Machine learning structures like neural networks are especially good at finding complex transfer functions to connect various inputs and outputs. This can be extended to creating connections that we as scientists
struggle to envision. With enough good data, a network can learn complex physics and be used to invert equations to infer the initial or boundary conditions for a system. This work presents an application of this methodology that leverages numerically simulated,
synthetic, data to enable the design of custom microfluidic devices. </div>
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<b class=""><u class=""><font face="arial, helvetica, sans-serif" class="">About MIT <span class="gmail-il">SIAM</span></font></u></b></div>
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<font face="arial, helvetica, sans-serif" class="">The MIT <span class="gmail-il">SIAM</span> (Society for Industrial and Applied Mathematics) student chapter is devoted to cross-pollinating ideas in applied mathematics and computational engineering between
students and researchers at MIT that wouldn’t otherwise collaborate. </font></div>
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<font face="arial, helvetica, sans-serif" class="">To get notifications about future <span class="gmail-il">seminars</span>, workshops, and events, subscribe to our mailing list <span style="color:blue" class=""><a href="https://docs.google.com/forms/d/e/1FAIpQLScStUKmdNaDa6Ruvd-MgQQQcSEU2tKN0UebJZ3YI9rg7M0sLA/viewform" target="_blank" style="color:purple;text-decoration-line:none" class="">here</a></span><span style="color:blue" class="">.</span></font></div>
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