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PRODID:IEEE vTools.Events//EN
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BEGIN:DAYLIGHT
DTSTART:20260308T030000
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DTSTART:20261101T010000
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BEGIN:VEVENT
DTSTAMP:20260426T141656Z
UID:06C2E2B9-130B-4BD1-8745-E8FC749F7AE9
DTSTART;TZID=America/New_York:20260423T183000
DTEND;TZID=America/New_York:20260423T200000
DESCRIPTION:This presentation will introduce a broad overview of how artifi
 cial intelligence (AI) can be used in complex radio frequency systems. AI 
 enables RF systems to respond more quickly and effectively to dynamic envi
 ronment conditions with complex and novel emitters. I will illustrate wher
 e the AI techniques of situation assessment\, decision making\, and machin
 e learning can function in an RF system\, and show how Cognitive Radio\, C
 ognitive Radar and Cognitive Electronic Warfare are the same concept. I wi
 ll describe how to handle real-time in-mission learning\, motivate why thi
 s capability is crucial\, and present ideas on how to evaluate a system th
 at learns during a mission. The presentation is based on the book &quot;Cogniti
 ve Electronic Warfare: An Artificial Intelligence Approach&quot;.\n\nSpeaker(s)
 : Karen Haigh\, \n\nRoom: 401-D\, Bldg: Martin Luther King Jr. Memorial Li
 brary\, 901 G St NW\, Washington\, District of Columbia\, United States\, 
 20001\, Virtual: https://events.vtools.ieee.org/m/556033
LOCATION:Room: 401-D\, Bldg: Martin Luther King Jr. Memorial Library\, 901 
 G St NW\, Washington\, District of Columbia\, United States\, 20001\, Virt
 ual: https://events.vtools.ieee.org/m/556033
ORGANIZER:arcjai7@gmail.com
SEQUENCE:26
SUMMARY:Cognitive RF Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/556033
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;This presentation will introduce a broad o
 verview of how artificial intelligence (AI) can be used in complex radio f
 requency systems. AI enables RF systems to respond more quickly and effect
 ively to dynamic environment conditions with complex and novel emitters. I
  will illustrate where the AI techniques of situation assessment\, decisio
 n making\, and machine learning can function in an RF system\, and show ho
 w Cognitive Radio\, Cognitive Radar and Cognitive Electronic Warfare are t
 he same concept. I will describe how to handle real-time in-mission learni
 ng\, 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 App
 roach&quot;.&lt;/p&gt;
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