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PRODID:IEEE vTools.Events//EN
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TZID:Pacific/Honolulu
BEGIN:STANDARD
DTSTART:19470608T023000
TZOFFSETFROM:-1130
TZOFFSETTO:-1000
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BEGIN:VEVENT
DTSTAMP:20240305T070545Z
UID:F810E901-244C-4F34-8815-536196DE8C22
DTSTART;TZID=Pacific/Honolulu:20240304T170000
DTEND;TZID=Pacific/Honolulu:20240304T190000
DESCRIPTION:This presentation by Dr. Karen Haigh will introduce a broad ove
 rview of how artificial intelligence (AI) can be used in complex radio fre
 quency systems. AI enables RF systems to respond more quickly and effectiv
 ely to dynamic environment conditions with complex and novel emitters. I w
 ill illustrate where the AI techniques of situation assessment\, decision 
 making\, and machine learning can function in an RF system\, and show how 
 Cognitive Radio\, Cognitive Radar and Cognitive Electronic Warfare are the
  same concept. I will describe how to handle real-time in-mission learning
 \, motivate why this capability is crucial\, and present ideas on how to e
 valuate a system that learns during a mission. The presentation is based o
 n the book "Cognitive Electronic Warfare: An Artificial Intelligence Appro
 ach"\n\nVisitor Parking information can be found here: https://manoa.hawai
 i.edu/commuter/visitors/\n\nSpeaker(s): Karen Haigh\n\nRoom: 244\, Bldg: U
 H Manoa Holmes Hall\, Holmes Hall\, 2540 Dole St\, Honolulu\, HI \, Honolu
 lu\, Hawaii\, United States\, 96822
LOCATION:Room: 244\, Bldg: UH Manoa Holmes Hall\, Holmes Hall\, 2540 Dole S
 t\, Honolulu\, HI \, Honolulu\, Hawaii\, United States\, 96822
ORGANIZER:sahara.matthew@ieee.org
SEQUENCE:38
SUMMARY:IEEE DL Seminar by Dr. Karen Haigh on Cognitive RF Systems: Using A
 I to Solve Complex Problems
URL;VALUE=URI:https://events.vtools.ieee.org/m/405534
X-ALT-DESC:Description: <br /><p>This presentation by Dr. Karen Haigh will 
 introduce a broad overview of how artificial intelligence (AI) can be used
  in complex radio frequency systems. AI enables RF systems to respond more
  quickly and effectively to dynamic environment conditions with complex an
 d novel emitters. I will illustrate where the AI techniques of situation a
 ssessment\, decision making\, and machine learning can function in an RF s
 ystem\, and show how Cognitive Radio\, Cognitive Radar and Cognitive Elect
 ronic Warfare are the same concept. I will describe how to handle real-tim
 e in-mission learning\, motivate why this capability is crucial\, and pres
 ent ideas on how to evaluate a system that learns during a mission. The pr
 esentation is based on the book "Cognitive Electronic Warfare: An Artifici
 al Intelligence Approach"</p>\n<p>&nbsp\;</p>\n<p>Visitor Parking informat
 ion can be found here: https://manoa.hawaii.edu/commuter/visitors/</p>
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