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DESCRIPTION:AI and Machine Vision: From Foundations to Applications - Part 
 1\n\nDon’t miss our two-part AI and Machine Vision series with Dr. Sedat
  Ozer\, Assistant Professor at Cal Poly Pomona. In Part 1\, Dr. Ozer will 
 unpack the essentials of AI and machine learning—how they work\, the too
 ls behind them\, and the hardware that powers today’s applications. Part
  2 will build on this foundation\, showcasing how machine vision is transf
 orming UAVs and autonomous systems. Join us for both sessions and take par
 t in an engaging discussion during the Q&amp;A.\n\nAbout Weekend Espresso\n\n[
 ]Tech\, Trends &amp; Takeaways | Start your weekend with a shot of fresh ideas
 ! Weekend Espresso is a series of quick\, engaging seminars (under 1 hour)
  highlighting diverse topics in technology\, innovation\, and professional
  growth. Whether you’re a student\, researcher\, educator\, or industry 
 professional\, you’ll discover insights that inform\, inspire\, and spar
 k new connections. Hosted by the IEEE Foothill Section—pour yourself a c
 up and join us for lively learning!\n\nSpeaker(s): Sedat Ozer\n\nAgenda: \
 nAgenda – Weekend Espresso #3: AI and Machine Vision – From Foundation
 s to Applications (Part 1)\nSpeaker: Dr. Sedat Ozer\, Assistant Professor\
 , Cal Poly Pomona\n\nIn the first session of this two-part series\, Dr. Oz
 er will provide a foundational overview of artificial intelligence (AI) an
 d machine learning (ML)\, introducing key concepts\, neural network archit
 ectures\, and tools commonly used in the field. Attendees will gain a clea
 r understanding of how AI and ML work\, the difference between training an
 d inference\, and the hardware considerations that support modern AI appli
 cations. This session sets the stage for the second seminar\, which will d
 ive deeper into machine vision applications in UAVs and autonomous systems
 .\n\nTopics Covered:\n\n-\nIntroduction to AI and its major applications\n
 \n-\nBasics of machine learning and neural networks\n\n-\nCommon neural ne
 twork types and their applications\n\n-\nTraining vs. inference\n\n-\nPopu
 lar ML tools and software frameworks\n\n-\nHardware considerations for AI/
 ML (CPU\, GPU\, accelerators\, memory\, etc.)\n\n- How ML is applied in vi
 sion systems\n\nFormat:\n\n-\nTalk: 30~40 minutes\n\n-\nQ&amp;A and Discussion
 : 10~15 minutes\n\nVirtual: https://events.vtools.ieee.org/m/501063
LOCATION:Virtual: https://events.vtools.ieee.org/m/501063
ORGANIZER:richard.fung@ieee.org
SEQUENCE:77
SUMMARY:Weekend Espresso | AI and Machine Vision: From Foundations to Appli
 cations - Part 1
URL;VALUE=URI:https://events.vtools.ieee.org/m/501063
X-ALT-DESC:Description: &lt;br /&gt;&lt;h3 style=&quot;text-align: center\;&quot;&gt;&lt;span style=
 &quot;font-family: georgia\, palatino\, serif\; font-size: 14pt\;&quot;&gt;&lt;strong data
 -start=&quot;98&quot; data-end=&quot;146&quot;&gt;AI and Machine Vision: From Foundations to Appl
 ications - Part 1&lt;/strong&gt;&lt;/span&gt;&lt;/h3&gt;\n&lt;p&gt;&lt;span style=&quot;font-family: georg
 ia\, palatino\, serif\; font-size: 12pt\;&quot;&gt;&lt;span style=&quot;font-size: 18pt\;&quot;
 &gt;&lt;span style=&quot;font-size: 12pt\; font-family: arial\, helvetica\, sans-seri
 f\;&quot;&gt;&lt;span style=&quot;font-size: 18pt\;&quot;&gt;&lt;span style=&quot;font-size: 12pt\; font-f
 amily: arial\, helvetica\, sans-serif\;&quot;&gt;Don&amp;rsquo\;t miss our two-part AI
  and Machine Vision series with Dr. Sedat Ozer\, Assistant Professor at Ca
 l Poly Pomona. In Part 1\, Dr. Ozer will unpack the essentials of AI and m
 achine learning&amp;mdash\;how they work\, the tools behind them\, and the har
 dware that powers today&amp;rsquo\;s applications. Part 2 will build on this f
 oundation\, showcasing how machine vision is transforming UAVs and autonom
 ous systems. Join us for both sessions and take part in an engaging discus
 sion during the Q&amp;amp\;A.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp
 \;&lt;/p&gt;\n&lt;p style=&quot;text-align: center\;&quot;&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;&lt;s
 trong&gt;&lt;span style=&quot;font-family: georgia\, palatino\, serif\;&quot;&gt;&lt;span style=
 &quot;font-family: arial\, helvetica\, sans-serif\;&quot;&gt;&lt;span style=&quot;font-family: 
 arial\, helvetica\, sans-serif\;&quot;&gt;About Weekend Espresso&lt;/span&gt;&lt;/span&gt;&lt;/sp
 an&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p style=&quot;line-height: 1.3\; text-align: left\;&quot;&gt;
 &lt;span style=&quot;font-size: 18pt\;&quot;&gt;&lt;img style=&quot;float: left\; margin: 15px\;&quot; 
 src=&quot;https://media.istockphoto.com/id/136625069/photo/coffee-espresso.jpg?
 s=612x612&amp;amp\;w=0&amp;amp\;k=20&amp;amp\;c=qsAwchQa1ExewNpHaaxUAElBSXs6f9u81QyMSj
 jW7Xc=&quot; alt=&quot;&quot; width=&quot;120&quot; height=&quot;120&quot;&gt;&lt;span style=&quot;font-size: 12pt\; fon
 t-family: arial\, helvetica\, sans-serif\;&quot;&gt;&lt;strong&gt;Tech\, Trends &amp;amp\; T
 akeaways&lt;/strong&gt; | Start your weekend with a shot of fresh ideas!&amp;nbsp\;&lt;
 em data-start=&quot;199&quot; data-end=&quot;217&quot;&gt;Weekend Espresso&lt;/em&gt; is a series of qu
 ick\, engaging seminars (under 1 hour) highlighting diverse topics in tech
 nology\, innovation\, and professional growth. Whether you&amp;rsquo\;re a stu
 dent\, researcher\, educator\, or industry professional\, you&amp;rsquo\;ll di
 scover insights that inform\, inspire\, and spark new connections. Hosted 
 by the IEEE Foothill Section&amp;mdash\;pour yourself a cup and join us for li
 vely learning!&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;div dir=&quot;auto&quot;&gt;
 \n&lt;p class=&quot;p1&quot;&gt;&lt;strong&gt;Agenda &amp;ndash\; Weekend Espresso #3: AI and Machin
 e Vision &amp;ndash\; From Foundations to Applications (Part 1)&lt;br&gt;&lt;/strong&gt;&lt;s
 pan style=&quot;font-size: 12pt\;&quot;&gt;&lt;strong data-start=&quot;168&quot; data-end=&quot;189&quot;&gt;Spea
 ker: Dr. Sedat Ozer\, Assistant Professor\, Cal Poly Pomona&lt;/strong&gt;&lt;/span
 &gt;&lt;/p&gt;\n&lt;p data-start=&quot;319&quot; data-end=&quot;901&quot;&gt;In the first session of this two
 -part series\, Dr. Ozer will provide a foundational overview of artificial
  intelligence (AI) and machine learning (ML)\, introducing key concepts\, 
 neural network architectures\, and tools commonly used in the field. Atten
 dees will gain a clear understanding of how AI and ML work\, the differenc
 e between training and inference\, and the hardware considerations that su
 pport modern AI applications. This session sets the stage for the second s
 eminar\, which will dive deeper into machine vision applications in UAVs a
 nd autonomous systems.&lt;/p&gt;\n&lt;p data-start=&quot;903&quot; data-end=&quot;924&quot;&gt;&lt;strong dat
 a-start=&quot;903&quot; data-end=&quot;922&quot;&gt;Topics Covered:&lt;/strong&gt;&lt;/p&gt;\n&lt;ul data-start=
 &quot;925&quot; data-end=&quot;1254&quot;&gt;\n&lt;li data-start=&quot;925&quot; data-end=&quot;974&quot;&gt;\n&lt;p data-star
 t=&quot;927&quot; data-end=&quot;974&quot;&gt;Introduction to AI and its major applications&lt;/p&gt;\n
 &lt;/li&gt;\n&lt;li data-start=&quot;975&quot; data-end=&quot;1025&quot;&gt;\n&lt;p data-start=&quot;977&quot; data-end
 =&quot;1025&quot;&gt;Basics of machine learning and neural networks&lt;/p&gt;\n&lt;/li&gt;\n&lt;li dat
 a-start=&quot;1026&quot; data-end=&quot;1105&quot;&gt;\n&lt;p data-start=&quot;1028&quot; data-end=&quot;1105&quot;&gt;Comm
 on neural network types and their applications&lt;/p&gt;\n&lt;/li&gt;\n&lt;li data-start=
 &quot;1106&quot; data-end=&quot;1132&quot;&gt;\n&lt;p data-start=&quot;1108&quot; data-end=&quot;1132&quot;&gt;Training vs.
  inference&lt;/p&gt;\n&lt;/li&gt;\n&lt;li data-start=&quot;1133&quot; data-end=&quot;1177&quot;&gt;\n&lt;p data-sta
 rt=&quot;1135&quot; data-end=&quot;1177&quot;&gt;Popular ML tools and software frameworks&lt;/p&gt;\n&lt;/
 li&gt;\n&lt;li data-start=&quot;1178&quot; data-end=&quot;1254&quot;&gt;\n&lt;p data-start=&quot;1180&quot; data-end
 =&quot;1254&quot;&gt;Hardware considerations for AI/ML (CPU\, GPU\, accelerators\, memo
 ry\, etc.)&lt;/p&gt;\n&lt;/li&gt;\n&lt;li data-start=&quot;1178&quot; data-end=&quot;1254&quot;&gt;How ML is app
 lied in vision systems&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p class=&quot;p1&quot;&gt;&lt;strong style=&quot;font-size
 : 12pt\; font-family: -apple-system\, BlinkMacSystemFont\, &#39;Segoe UI&#39;\, Ro
 boto\, Oxygen\, Ubuntu\, Cantarell\, &#39;Open Sans&#39;\, &#39;Helvetica Neue&#39;\, sans
 -serif\;&quot; data-start=&quot;749&quot; data-end=&quot;760&quot;&gt;Format:&lt;/strong&gt;&lt;/p&gt;\n&lt;ul data-s
 tart=&quot;763&quot; data-end=&quot;831&quot;&gt;\n&lt;li class=&quot;&quot; style=&quot;font-size: 12pt\;&quot; data-st
 art=&quot;763&quot; data-end=&quot;788&quot;&gt;\n&lt;p class=&quot;&quot; data-start=&quot;765&quot; data-end=&quot;788&quot;&gt;&lt;sp
 an style=&quot;font-size: 12pt\;&quot;&gt;&lt;strong data-start=&quot;765&quot; data-end=&quot;774&quot;&gt;Talk:
 &lt;/strong&gt; 30~40 minutes&lt;/span&gt;&lt;/p&gt;\n&lt;/li&gt;\n&lt;li class=&quot;&quot; style=&quot;font-size: 
 12pt\;&quot; data-start=&quot;789&quot; data-end=&quot;831&quot;&gt;\n&lt;p class=&quot;&quot; data-start=&quot;791&quot; dat
 a-end=&quot;831&quot;&gt;&lt;span style=&quot;font-size: 12pt\;&quot;&gt;&lt;strong data-start=&quot;791&quot; data-
 end=&quot;814&quot;&gt;Q&amp;amp\;A and Discussion:&lt;/strong&gt; 10~15 minutes&lt;/span&gt;&lt;/p&gt;\n&lt;/li
 &gt;\n&lt;/ul&gt;\n&lt;/div&gt;
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