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DTSTAMP:20250730T162942Z
UID:BA75A30A-5485-437F-BD85-DA6AFB95A162
DTSTART;TZID=America/Denver:20250818T150000
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DESCRIPTION:Abstract: There are three waves of Artificial Intelligence. The
  first Wave of AI is Crafted Knowledge\, which includes rule-based AI syst
 ems. The second wave of AI is Statistical Learning\, which includes machin
 e becoming intelligent by using statistical methods. The third wave of AI 
 is contextual adaptation. In the third wave\, instead of learning from dat
 a\, intelligent machines will understand and perceive the world on its own
 \, and learn by understanding the world and reason with it. Neuro-symbolic
  AI\, which combines neural networks with symbolic representations\, has e
 merged as a promising solution of the third wave of AI. In this talk\, fir
 st I will share my journey from counter-unmanned aircraft systems to expla
 inable AI to neuro-symbolic AI. Then I will present the past\, present\, a
 nd future of neuro-symbolic AI. I will also share my perspective on the em
 erging area of neuro-symbolic AI.\n\nSpeaker: Houbing Herbert Song\, Ph.D.
 \, IEEE Fellow\, Co-EiC of IEEE TII\n\nSpeaker(s): Prof. Houbing Herbert S
 ong\n\nBldg: ICT 516\, University of Calgary\, Calgary\, Alberta\, Canada
LOCATION:Bldg: ICT 516\, University of Calgary\, Calgary\, Alberta\, Canada
ORGANIZER:maziar.shafieidarabi@ucalgary.ca
SEQUENCE:10
SUMMARY:Dr.  Houbing Herbert Song: &quot;Neuro-symbolic AI: The Third Wave of 
 AI&quot;
URL;VALUE=URI:https://events.vtools.ieee.org/m/494951
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNoSpacing&quot; style=&quot;line-height: 1
 .5\; margin: 6pt 0in\; text-align: justify\;&quot;&gt;&lt;span lang=&quot;EN-CA&quot; style=&quot;fo
 nt-family: arial\, helvetica\, sans-serif\; font-size: 12pt\; color: rgb(0
 \, 0\, 0)\;&quot;&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; There are three waves of Artificia
 l Intelligence. The first Wave of AI is Crafted Knowledge\, which includes
  rule-based AI systems. The second wave of AI is Statistical Learning\, wh
 ich includes machine becoming intelligent by using statistical methods. Th
 e third wave of AI is contextual adaptation. In the third wave\, instead o
 f learning from data\, intelligent machines will understand and perceive t
 he world on its own\, and learn by understanding the world and reason with
  it. Neuro-symbolic AI\, which combines neural networks with symbolic repr
 esentations\, has emerged as a promising solution of the third wave of AI.
  In this talk\, first I will share my journey from counter-unmanned aircra
 ft systems to explainable AI to neuro-symbolic AI. Then I will present the
  past\, present\, and future of neuro-symbolic AI. I will also share my pe
 rspective on the emerging area of neuro-symbolic AI.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=
 &quot;MsoNoSpacing&quot; style=&quot;line-height: 1.5\; margin: 6pt 0in\; text-align: jus
 tify\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p style=&quot;background: white\; margin: 12pt 0in 0in\; 
 line-height: 1.5\; text-align: justify\;&quot;&gt;&lt;span style=&quot;font-family: arial\
 , helvetica\, sans-serif\; font-size: 12pt\; color: rgb(0\, 0\, 0)\;&quot;&gt;&lt;str
 ong&gt;Speaker: &lt;/strong&gt;&lt;span style=&quot;line-height: 107%\;&quot;&gt;Houbing Herbert So
 ng\, Ph.D.\, IEEE Fellow\, Co-EiC of IEEE TII&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
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