<div dir="ltr"><div>Please feel free to register and attend tonight's IEEE R&A monthly session.</div><div><br><div class="gmail_quote">---------- Forwarded message ----------<br>From: <b class="gmail_sendername">Mahesh Balasubramaniam</b> <span dir="ltr"><<a href="mailto:mbalasu@ncsu.edu" target="_blank">mbalasu@ncsu.edu</a>></span><br>Date: Fri, Feb 2, 2018 at 1:24 AM<br>Subject: [TAR] [TAR Meeting Monday Feb 5th, 2018 at 7pm - NCSU EB1 1007]<br>To: <a href="mailto:trianglerobotics@yahoogroups.com" target="_blank">trianglerobotics@yahoogroups.<wbr>com</a><br>Cc: <a href="mailto:triembed@triembed.org" target="_blank">triembed@triembed.org</a>, Triangle Linux Users Group General Discussion <<a href="mailto:trilug@trilug.org" target="_blank">trilug@trilug.org</a>>, humanoidrobotteam <<a href="mailto:humanoidrobotteam@googlegroups.com" target="_blank">humanoidrobotteam@<wbr>googlegroups.com</a>><br><br><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><p class="m_8309826835025848695m_4060821158543808788gmail-m_4689629753029453769gmail-m_490010568569781198gmail-MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><span style="color:rgb(0,0,0)"><font face="arial, helvetica, sans-serif">Friends,</font></span></p><p class="m_8309826835025848695m_4060821158543808788gmail-m_4689629753029453769gmail-m_490010568569781198gmail-MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, helvetica, sans-serif" color="#000000"><span></span></font></p>

<p class="m_8309826835025848695m_4060821158543808788gmail-m_4689629753029453769gmail-m_490010568569781198gmail-MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, helvetica, sans-serif" color="#000000">We are having a meeting on Feb 05, 2018 at 7pm (6:20 pm for
pizza) in 1007 NCSU Engineering Building 1.  The subject will be </font></p>

<p class="m_8309826835025848695m_4060821158543808788gmail-m_4689629753029453769gmail-m_490010568569781198gmail-MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, helvetica, sans-serif" color="#000000" size="4"><b><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">"</span></b></font><b><span style="font-family:Arial,sans-serif"><font size="4">Tripping
the light GANtastic: Understanding objects and scenes with Generative
Adversarial Networks – Dr. Matthew Phillips</font></span></b><b style="color:rgb(0,0,0);font-family:arial,helvetica,sans-serif;font-size:large"><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">"</span></b></p>

<p class="m_8309826835025848695m_4060821158543808788gmail-m_4689629753029453769gmail-m_490010568569781198gmail-MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, helvetica, sans-serif" color="#000000">Please refer to the
registration link below for more details.<span></span></font></p>

<p class="m_8309826835025848695m_4060821158543808788gmail-m_4689629753029453769gmail-m_490010568569781198gmail-MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, helvetica, sans-serif" color="#000000">registration link
:</font></p>

<p class="MsoNormal"><a href="https://events.vtools.ieee.org/m/160206" target="_blank">https://events.vtools.ieee.org<wbr>/m/160206</a></p><p class="m_8309826835025848695m_4060821158543808788gmail-m_4689629753029453769gmail-m_490010568569781198gmail-MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="color:rgb(0,0,0);font-family:arial,helvetica,sans-serif">Requesting all of your co-ordination to mindfully welcome,
appreciate and get inspired by Dr. Matthew Phillips for his work involving computer vision and deep learning.</span></p><p class="m_8309826835025848695m_4060821158543808788gmail-m_4689629753029453769gmail-m_490010568569781198gmail-MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif">Generative adversarial networks (GANs)</span></b><span style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif"> are
a class of <font color="#000000">artificial Intelligence</font> algorithms used
in <font color="#000000">unsupervised machine learning,</font> implemented
by a system of two <a href="https://en.wikipedia.org/wiki/Neural_network" title="Neural network" target="_blank"><span style="color:windowtext;text-decoration-line:none">neural networks</span></a> contesting with each other in
a <font color="#000000">zero-sum game</font> framework.</span><br></p><p style="margin:6pt 0in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:10pt;font-family:Arial,sans-serif">In simple words,<b> GANs</b></span><span style="font-size:10pt;font-family:Arial,sans-serif"> are <font color="#000000">artificial neural networks </font>that work
together to give better answers. One neural network is the tricky network, and
the other one is the useful network. The tricky network will try to give an
input to the useful network that will cause the useful network to give a bad
answer. The useful network will then learn not to give a bad answer, and the
tricky network will try to trick the useful network again. As this continues,
the useful network will get better and not become tricked as often, and the
useful network will be able to be used to make good predictions.<span></span></span></p><p class="m_8309826835025848695m_4060821158543808788gmail-m_4689629753029453769gmail-MsoNoSpacing"><b><span style="font-size:10pt;font-family:Arial,sans-serif">GANs</span></b><span style="font-size:10pt;font-family:Arial,sans-serif"> provide a way to
learn deep representations without extensively annotated training data. They
achieve this through deriving backpropagation signals through a competitive
process involving a pair of networks.</span></p><p class="m_8309826835025848695m_4060821158543808788gmail-m_4689629753029453769gmail-MsoNoSpacing"><b><span style="font-size:10pt;font-family:Arial,sans-serif">GANs</span></b><span style="font-size:10pt;font-family:Arial,sans-serif"> have received
wide attention in the machine learning field because of their potential to
learn high-dimensional, complex real data. Specifically, they do not perform
distribution assumptions and can simply infer real-like samples from latent
space. This powerful property leads GANs to be applied to various applications
such as image synthesis, image attribute editing, image translation, image
super-resolution and classification.</span></p><p style="margin:0in 0in 7.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><strong><u><span style="font-size:10pt;font-family:Arial,sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Bio of the speaker:</span></u></strong><strong><u><span style="font-size:11pt;font-family:Arial,sans-serif"><span></span></span></u></strong></p><p style="margin:0in 0in 7.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><strong><span style="font-size:10pt;font-family:Arial,sans-serif">Dr.
Matthew Phillips </span></strong><span style="font-size:10pt;font-family:Arial,sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">received a B.A. in philosophy and
mathematics from Tufts University, and he received a Ph.D. in philosophy with a
certificate in cognitive science from Rutgers University. <b>After he completed
his Ph.D., he moved into neuroscience, where he first focused on
visual/oculomotor psychophysics. He later shifted to primate cellular
electrophysiology and, finally, to computational neuroscience. His focus on
computational neuroscience brought him to Duke University and the Research
Triangle Park (RTP). In the RTP, Matt worked briefly as a C++ engineer and
pursued side projects in machine learning. He now works full time in machine
learning and computer vision at Kitware.</b></span><b><span></span></b></p><p style="margin:0in 0in 7.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="font-size:10pt;font-family:Arial,sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Dr. Phillips</span><span style="font-size:10pt;font-family:Arial,sans-serif"> has received numerous awards, grants and fellowships. In
2005, he received the James S. McDonnell Foundation 21st Century Postdoctoral
Fellowship Award, which he declined. A year later, he received a Fight for
Sight fellowship. Then, in 2008, he accepted an award to present at the
Advances in Computational Motor Control meeting. In the same year, he began a
Postdoctoral Individual National Research Service Award from the National Eye
Institute of the National Institutes of Health for “Using saccadic adaptation
to probe the coordinate system of parietal neurons.” Later, in 2012, he
received a research grant from the American Academy of Neurology for “Assessing
efficiency of learning the neurologic exam with a visual tracking device” with
co-principal investigator James Noble, MD.</span></b></p><p style="margin:0in 0in 7.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:10pt;font-family:Arial,sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Dr. Phillips has also contributed to considerable
applications development and open source projects including signal processing
algorithms, neural waveforms and computer vision based analytics.<span></span></span></p><p class="MsoNormal" style="line-height:15.1pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:10pt;font-family:Arial,sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Please
refer to the following link to know more about Dr. Phillips,<strong><span style="font-weight:normal"><span></span></span></strong></span></p><p class="MsoNormal" style="line-height:15.1pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:10pt;font-family:Arial,sans-serif"><a href="https://www.kitware.com/matthew-phillips/" target="_blank">https://www.kitware.com/matthe<wbr>w-phillips/</a><span></span></span></p><p class="m_8309826835025848695m_4060821158543808788gmail-m_4689629753029453769gmail-m_490010568569781198gmail-MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">



























</p><p><span style="font-size:10pt;font-family:Arial,sans-serif">IEEE ENCS RA24
chapter appreciates the passion, drive, highly impressive efforts from Dr. Phillips and wishes the very best to his career & life.<span></span></span></p>

<p class="m_8309826835025848695m_4060821158543808788gmail-m_4689629753029453769gmail-m_490010568569781198gmail-MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, helvetica, sans-serif" color="#000000">Thank you.</font></p><span class="m_8309826835025848695HOEnZb"><font color="#888888"><p class="m_8309826835025848695m_4060821158543808788gmail-m_4689629753029453769gmail-m_490010568569781198gmail-MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, helvetica, sans-serif" color="#000000"><br></font></p>

<blockquote style="margin:0px 0px 0px 40px;border:none;padding:0px"></blockquote><div id="m_8309826835025848695m_4060821158543808788gmail-m_-1924795640118188928gmail-m_6421438454356265340gmail-m_-2838268137003043547m_5703861071340677012yiv2307547126gmail-m_-3604653533164565719gmail-m_8761693531504412946gmail-m_-301414042908005789ydpeaf1dbf2yiv6120506917ydp9e86d0ffm_-7401213605170141970ydpae6ae074yiv7210634634ydp4791ceefydp4f57e8cbydp9364fa5aydp724eb8afyiv9396962673yui_3_16_0_ym19_1_1488341634479_14902" style="font-size:12.8px;font-family:HelveticaNeue,"Helvetica Neue",Helvetica,Arial,"Lucida Grande",sans-serif"><span id="m_8309826835025848695m_4060821158543808788gmail-m_-1924795640118188928gmail-m_6421438454356265340gmail-m_-2838268137003043547m_5703861071340677012yiv2307547126gmail-m_-3604653533164565719gmail-m_8761693531504412946gmail-m_-301414042908005789ydpeaf1dbf2yiv6120506917ydp9e86d0ffm_-7401213605170141970ydpae6ae074yiv7210634634ydp4791ceefydp4f57e8cbydp9364fa5aydp724eb8afyiv9396962673yui_3_16_0_ym19_1_1488341634479_14903" style="font-family:Georgia,serif"><font color="#000000">Mahesh Balasubramaniam</font></span></div><div id="m_8309826835025848695m_4060821158543808788gmail-m_-1924795640118188928gmail-m_6421438454356265340gmail-m_-2838268137003043547m_5703861071340677012yiv2307547126gmail-m_-3604653533164565719gmail-m_8761693531504412946gmail-m_-301414042908005789ydpeaf1dbf2yiv6120506917ydp9e86d0ffm_-7401213605170141970ydpae6ae074yiv7210634634ydp4791ceefydp4f57e8cbydp9364fa5aydp724eb8afyiv9396962673yui_3_16_0_ym19_1_1488341634479_14905" style="font-size:12.8px;font-family:HelveticaNeue,"Helvetica Neue",Helvetica,Arial,"Lucida Grande",sans-serif"><font color="#000000"><span id="m_8309826835025848695m_4060821158543808788gmail-m_-1924795640118188928gmail-m_6421438454356265340gmail-m_-2838268137003043547m_5703861071340677012yiv2307547126gmail-m_-3604653533164565719gmail-m_8761693531504412946gmail-m_-301414042908005789ydpeaf1dbf2yiv6120506917ydp9e86d0ffm_-7401213605170141970ydpae6ae074yiv7210634634ydp4791ceefydp4f57e8cbydp9364fa5aydp724eb8afyiv9396962673yui_3_16_0_ym19_1_1488341634479_14906" style="font-family:Helvetica,sans-serif">IEEE ENCS RA24 Chair</span><span id="m_8309826835025848695m_4060821158543808788gmail-m_-1924795640118188928gmail-m_6421438454356265340gmail-m_-2838268137003043547m_5703861071340677012yiv2307547126gmail-m_-3604653533164565719gmail-m_8761693531504412946gmail-m_-301414042908005789ydpeaf1dbf2yiv6120506917ydp9e86d0ffm_-7401213605170141970ydpae6ae074yiv7210634634ydp4791ceefydp4f57e8cbydp9364fa5aydp724eb8afyiv9396962673yui_3_16_0_ym19_1_1488341634479_14907" style="font-family:Georgia,serif"></span></font></div><div id="m_8309826835025848695m_4060821158543808788gmail-m_-1924795640118188928gmail-m_6421438454356265340gmail-m_-2838268137003043547m_5703861071340677012yiv2307547126gmail-m_-3604653533164565719gmail-m_8761693531504412946gmail-m_-301414042908005789ydpeaf1dbf2yiv6120506917ydp9e86d0ffm_-7401213605170141970ydpae6ae074yiv7210634634ydp4791ceefydp4f57e8cbydp9364fa5aydp724eb8afyiv9396962673yui_3_16_0_ym19_1_1488341634479_14909" style="font-size:12.8px;font-family:HelveticaNeue,"Helvetica Neue",Helvetica,Arial,"Lucida Grande",sans-serif"><font color="#000000"><span id="m_8309826835025848695m_4060821158543808788gmail-m_-1924795640118188928gmail-m_6421438454356265340gmail-m_-2838268137003043547m_5703861071340677012yiv2307547126gmail-m_-3604653533164565719gmail-m_8761693531504412946gmail-m_-301414042908005789ydpeaf1dbf2yiv6120506917ydp9e86d0ffm_-7401213605170141970ydpae6ae074yiv7210634634ydp4791ceefydp4f57e8cbydp9364fa5aydp724eb8afyiv9396962673yui_3_16_0_ym19_1_1488341634479_14910"><span id="m_8309826835025848695m_4060821158543808788gmail-m_-1924795640118188928gmail-m_6421438454356265340gmail-m_-2838268137003043547m_5703861071340677012yiv2307547126gmail-m_-3604653533164565719gmail-m_8761693531504412946gmail-m_-301414042908005789ydpeaf1dbf2yiv6120506917ydp9e86d0ffm_-7401213605170141970ydpae6ae074yiv7210634634ydp4791ceefydp4f57e8cbydp9364fa5aydp724eb8afyiv9396962673yui_3_16_0_ym19_1_1488341634479_14911"><a rel="nofollow" shape="rect" href="mailto:mbalasu@ncsu.edu" target="_blank">mbalasu@ncsu.edu</a></span></span><span id="m_8309826835025848695m_4060821158543808788gmail-m_-1924795640118188928gmail-m_6421438454356265340gmail-m_-2838268137003043547m_5703861071340677012yiv2307547126gmail-m_-3604653533164565719gmail-m_8761693531504412946gmail-m_-301414042908005789ydpeaf1dbf2yiv6120506917ydp9e86d0ffm_-7401213605170141970ydpae6ae074yiv7210634634ydp4791ceefydp4f57e8cbydp9364fa5aydp724eb8afyiv9396962673yui_3_16_0_ym19_1_1488341634479_14912" style="font-family:Georgia,serif"></span></font></div><div id="m_8309826835025848695m_4060821158543808788gmail-m_-1924795640118188928gmail-m_6421438454356265340gmail-m_-2838268137003043547m_5703861071340677012yiv2307547126gmail-m_-3604653533164565719gmail-m_8761693531504412946gmail-m_-301414042908005789ydpeaf1dbf2yiv6120506917ydp9e86d0ffm_-7401213605170141970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