BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20261101T010000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260411T060429Z
UID:E411BD07-3E85-4346-A47E-51FC71718BBA
DTSTART;TZID=America/New_York:20260423T183000
DTEND;TZID=America/New_York:20260423T220000
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\nCo-sponsor
 ed by: CH02097 -- Aerospace Society Chapter of the IEEE Washington Section
 \n\nSpeaker(s): Doctor Haigh\, \n\n***CANCELED***\n\nBldg: Olive Garden Re
 staurant\, 8133 Leesburg Pike\, Vienna\, Virginia\, United States\, 22182
LOCATION:Bldg: Olive Garden Restaurant\, 8133 Leesburg Pike\, Vienna\, Virg
 inia\, United States\, 22182
ORGANIZER:rolito_martinez@hotmail.com
SEQUENCE:21
SUMMARY:Cognitive RF Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/553751
X-ALT-DESC:Description: &lt;br /&gt;&lt;div class=&quot;tab--wrapper lg__col-start-1 lg__
 col-span-2 lg__border-separator-r&quot;&gt;\n&lt;div class=&quot;tab--content p-6 space-y-
 6&quot;&gt;\n&lt;section class=&quot;relative&quot;&gt;\n&lt;div class=&quot;mx-auto break-words word-wrap
  prose font-serif&quot;&gt;\n&lt;p&gt;This presentation 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 and novel emitters. I will il
 lustrate where the AI techniques of situation assessment\, decision making
 \, and machine learning can function in an RF system\, and show how Cognit
 ive Radio\, Cognitive Radar and Cognitive Electronic Warfare are the same 
 concept. I will describe how to handle real-time in-mission learning\, mot
 ivate why this capability is crucial\, and present ideas on how to evaluat
 e a system that learns during a mission. The presentation is based on the 
 book &quot;Cognitive Electronic Warfare: An Artificial Intelligence Approach&quot;.&lt;
 /p&gt;\n&lt;/div&gt;\n&lt;/section&gt;\n&lt;/div&gt;\n&lt;/div&gt;
END:VEVENT
END:VCALENDAR

