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<span
style="font-family:"Calibri",sans-serif;border:none windowtext 1.0pt;padding:0cm">Dear
AI/CS/ECE student<span style="color:#500050">/</span>scientist/engineer/enthusiast,</span>
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<p class="MsoNormal"><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm">the
Artificial Intelligence and Information Analysis (<a
href="https://aiia.csd.auth.gr/"
moz-do-not-send="true">AIIA</a>) Lab of
Aristotle University of Thessaloniki (AUTH) in
cooperation with (</span><span
style="font-family:"Calibri",sans-serif;border:none windowtext 1.0pt;padding:0cm"><a
href="https://tema-project.eu/" target="_blank"
moz-do-not-send="true">TEMA) </a><span
style="color:black">R&D project, the
International AI Doctoral Academy (</span><a
href="https://www.i-aida.org/"
moz-do-not-send="true">AIDA</a><span
style="color:black">), is excited to invite you
to register and attend the upcoming “<a
href="https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-computer-vision-and-big-data-analytics-2024/"
moz-do-not-send="true">CVML Programming Short
Course and Workshop on Deep Learning, Computer
Vision and Big Data Analytics 2024</a>” which
will take place in Thessaloniki, Greece from
August 27<sup>th</sup> to 29<sup>th</sup> 2024.<o:p></o:p></span></span></p>
<p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:19.5pt;background:white"><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm">This
Summer School offers a three-day short course that
delivers an in-depth exploration of programming
tools and techniques for addressing a variety of
computer vision and deep learning challenges. The
course focuses on the fundamentals of deep
learning and its applications in Natural Disaster
Management.</span><span
style="font-family:"Calibri",sans-serif;color:#0D0D0D;background:white">
</span><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm">Here's
a glimpse of what the course entails: <o:p></o:p></span></p>
<ul type="disc">
<li class="MsoListParagraph"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:19.5pt;mso-list:l0 level1 lfo1;background:white"><span
style="font-family:"Calibri",sans-serif;border:none windowtext 1.0pt;padding:0cm">Deep
neural networks – Convolutional NNs<o:p></o:p></span></li>
<li class="MsoListParagraph"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:19.5pt;mso-list:l0 level1 lfo1;background:white"><span
style="font-family:"Calibri",sans-serif;border:none windowtext 1.0pt;padding:0cm">2D
Object Tracking in Embedded Systems<o:p></o:p></span></li>
<li class="MsoNormal"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:36.0pt;line-height:19.5pt;mso-list:l0 level1 lfo1;background:white"><span
style="font-family:"Calibri",sans-serif;border:none windowtext 1.0pt;padding:0cm">Real
Time Object Detection.<o:p></o:p></span></li>
<li class="MsoNormal"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:36.0pt;line-height:19.5pt;mso-list:l0 level1 lfo1;background:white"><span
style="font-family:"Calibri",sans-serif;border:none windowtext 1.0pt;padding:0cm">Real-Time
Image Segmentation.<o:p></o:p></span></li>
<li class="MsoNormal"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:36.0pt;line-height:19.5pt;mso-list:l0 level1 lfo1;background:white"><span
style="font-family:"Calibri",sans-serif;border:none windowtext 1.0pt;padding:0cm">Natural
Language Processing.<o:p></o:p></span></li>
<li class="MsoNormal"
style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:36.0pt;line-height:19.5pt;mso-list:l0 level1 lfo1;background:white"><span
style="font-family:"Calibri",sans-serif;border:none windowtext 1.0pt;padding:0cm">Explainability
in Computer Vision applications.<o:p></o:p></span></li>
</ul>
<p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:19.5pt;background:white"><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm">Additionally,
hands-on programming workshops will be conducted
on each topic, providing participants with
practical experience and skills enhancement.<o:p></o:p></span></p>
<p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:19.5pt;background:white"><b><u><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm">Details<o:p></o:p></span></u></b></p>
<p style="background:white;vertical-align:baseline"><b><span
style="font-family:"Calibri",sans-serif;color:#242424;border:none windowtext 1.0pt;padding:0cm">Host
Institution</span></b><span
style="font-family:"Calibri",sans-serif;color:#242424;border:none windowtext 1.0pt;padding:0cm">:
<b>Aristotle University of Thessaloniki</b></span><span
style="font-family:"Calibri",sans-serif;color:#242424"><o:p></o:p></span></p>
<p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:19.5pt;background:white"><b><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm">27,
28, 29 August 2024, 08:30- 16:30 EEST (UTC + 3
hours)<o:p></o:p></span></b></p>
<p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:19.5pt;background:white"><b><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm">On-site
Participation: <a
href="https://www.google.com/maps?ll=40.626813,22.962576&z=16&t=m&hl=en&gl=GR&mapclient=embed&cid=15378852460087723486"
moz-do-not-send="true">KEDEA</a> Building,
AUTH, Thessaloniki, Greece <o:p></o:p></span></b></p>
<p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:19.5pt;background:white"><b><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm">General
Registration<o:p></o:p></span></b></p>
<p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:19.5pt;background:white"><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm"><a
href="https://rc.auth.gr/product-list/single-product/138"
moz-do-not-send="true">Early registration</a>
(till 15/07/2024)<o:p></o:p></span></p>
<p class="MsoNormal"><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm">Students/Scientists,
Engineers from other scientific disciplines having
the necessary mathematical background are also
welcomed to register. <o:p></o:p></span></p>
<p class="MsoNormal"><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm">Special
Registration for AIDA Students*<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm"> On
top of the above registration, also enroll on this
course using the “ENROLL ON THIS COURSE” button on
the <a
href="https://www.i-aida.org/course/cvml-programming-short-course-and-workshop-on-deep-learning-computer-vision-and-big-data-analytics-2024/"
moz-do-not-send="true">AIDA course page</a>, so
that this course is included on your AIDA
Certificate of Course Attendance upon successful
completion of the program.<o:p></o:p></span></p>
<p class="MsoNormal"><b><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm">*AIDA
Students are PhD students/candidates or Postdoc
researchers belonging to any <a
href="https://www.i-aida.org/about/members/"
moz-do-not-send="true">AIDA member</a>.<o:p></o:p></span></p>
<p class="MsoNormal"><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm"><o:p> </o:p></span></p>
<p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:19.5pt;background:white"><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm">Upon
successful completion of the course, participants
will receive a <b>certificate of attendance</b>
issued by Aristotle University of Thessaloniki.<o:p></o:p></span></p>
<p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:19.5pt;background:white"><b><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm">For
more details, please visit</span></b><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm">:
<a
href="https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-computer-vision-and-big-data-analytics-2024/"
moz-do-not-send="true"
class="moz-txt-link-freetext">https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-computer-vision-and-big-data-analytics-2024/</a></span><span
style="font-family:"Calibri",sans-serif;border:none windowtext 1.0pt;padding:0cm"><o:p></o:p></span></p>
<p class="MsoNormal"><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm"><o:p> </o:p></span></p>
<p style="background:white;vertical-align:baseline"><span
style="font-family:"Calibri",sans-serif;color:#242424;border:none windowtext 1.0pt;padding:0cm">This
summer school is technically sponsored</span><span
style="font-family:"Calibri",sans-serif;color:#500050;border:none windowtext 1.0pt;padding:0cm"> </span><span
style="font-family:"Calibri",sans-serif;color:#242424;border:none windowtext 1.0pt;padding:0cm">by
</span><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm"><a
href="https://tema-project.eu/" target="_blank"
moz-do-not-send="true">TEMA </a></span><span
style="font-family:"Calibri",sans-serif;color:#242424;border:none windowtext 1.0pt;padding:0cm">,
<a href="https://tema-project.eu/projects-cluster"
moz-do-not-send="true">AI.BIG Cluster</a>, </span><span
style="font-family:"Calibri",sans-serif;color:black;border:none windowtext 1.0pt;padding:0cm"><a
href="https://www.i-aida.org/"
moz-do-not-send="true">AIDA</a>, <a
href="https://www.ai4media.eu/"
moz-do-not-send="true">AI4Media</a> </span><span
style="font-family:"Calibri",sans-serif;color:#242424;border:none windowtext 1.0pt;padding:0cm">R&D
projects.<o:p></o:p></span></p>
<p style="background:white;vertical-align:baseline"><span
style="font-family:"Calibri",sans-serif;color:#242424;border:none windowtext 1.0pt;padding:0cm"><o:p> </o:p></span></p>
<p style="background:white;vertical-align:baseline"><span
style="font-family:"Calibri",sans-serif;color:#242424;border:none windowtext 1.0pt;padding:0cm"><o:p> </o:p></span></p>
<p class="MsoNormal"><span
style="font-family:"Calibri",sans-serif">School
Organizer: Prof. Ioannis Pitas <o:p></o:p></span></p>
<p class="xmsonormal"><span
style="font-family:"Calibri",sans-serif">Chair
of the International AI Doctoral Academy (AIDA),
Director of the Artificial Intelligence and
Information analysis (AIIA) Lab,<o:p></o:p></span></p>
<p style="background:white;vertical-align:baseline"><span
style="font-family:"Calibri",sans-serif;color:black">Aristotle
University of Thessaloniki, Greece</span><span
style="font-family:"Calibri",sans-serif"
lang="EL"><o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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