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DTSTART:20230312T030000
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DTSTART:20221106T010000
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DTSTAMP:20230228T035005Z
UID:B0B594AD-E129-442C-8C85-D0F6972F3283
DTSTART;TZID=America/New_York:20230227T100000
DTEND;TZID=America/New_York:20230227T110000
DESCRIPTION:This IEEE AESS Distinguished Lecturer talk by Dr. Karen Haigh w
 ill introduce a broad overview of how artificial intelligence (AI) can be 
 used in electronic warfare (EW). AI enables EW systems to respond more qui
 ckly and effectively to battlefield conditions with complex and novel emit
 ters. I will illustrate where the AI techniques of situation assessment\, 
 decision making\, and machine learning can function in an EW system. I wil
 l describe how to handle real-time in-mission learning\, motivate why this
  capability is crucial\, and present ideas on how to evaluate a system tha
 t learns during a mission. The presentation is based on the book &quot;Cognitiv
 e Electronic Warfare: An Artificial Intelligence Approach.&quot;\n\nCo-sponsore
 d by: Dept of Electrical Engineering and Computer Science\, Florida Atlant
 ic University\n\nSpeaker(s): Karen Haigh \, \n\nRoom: 303\, Bldg: EE96 -- 
 Engineering East\, Florida Atlantic University\, Boca Raton\, Florida\, Un
 ited States\, 33431\, Virtual: https://events.vtools.ieee.org/m/346466
LOCATION:Room: 303\, Bldg: EE96 -- Engineering East\, Florida Atlantic Univ
 ersity\, Boca Raton\, Florida\, United States\, 33431\, Virtual: https://e
 vents.vtools.ieee.org/m/346466
ORGANIZER:hkalva@fau.edu
SEQUENCE:13
SUMMARY:Cognitive Electronic Warfare: Using AI to Solve EW problems -- Dr. 
 Karen Haigh 
URL;VALUE=URI:https://events.vtools.ieee.org/m/346466
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;This IEEE AESS Distinguished Lecturer talk
  by Dr. Karen Haigh will introduce a broad overview of how artificial inte
 lligence (AI) can be used in electronic warfare (EW). AI enables EW system
 s to respond more quickly and effectively to battlefield conditions with c
 omplex and novel emitters. I will illustrate where the AI techniques of si
 tuation assessment\, decision making\, and machine learning can function i
 n an EW system. I will describe how to handle real-time in-mission learnin
 g\, motivate why this capability is crucial\, and present ideas on how to 
 evaluate a system that learns during a mission. The presentation is based 
 on the book &quot;Cognitive Electronic Warfare: An Artificial Intelligence Appr
 oach.&quot;&lt;/p&gt;
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