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DESCRIPTION:In-person Event: Room 218\, New Brighton Community Center\, 6:0
 0 – 8pm\nAI &amp; Emerging Trends\n\nTopic: Cognitive RF Systems: Real-time 
 Learning in Dynamic RF Environments\n\nRegistration is requested to help i
 n ordering sufficient pizza/beverages\n\n6:05 Registration\, Pizza Served 
 (TC Officers)\n\n6:25  Welcome and Updates (John Berkner)\n\n6:30  Guest S
 peaker: Cognitive RF Systems: Real-time Learning in Dynamic RF Environment
 s (Dr. Karen Haigh)\n\nRadio frequency (RF) environments are growing more 
 congested\, contested\, and complex\, impacting everything from national d
 efense to medical devices. This presentation explores how artificial intel
 ligence (AI) is transforming RF systems to adapt in real time to dynamic c
 onditions\, novel emitters\, and unpredictable interference. By embedding 
 techniques like situation assessment\, decision-making\, and machine learn
 ing directly into RF workflows\, we create smarter\, faster\, and more res
 ilient systems.\n\nIn this talk\, I will describe how Cognitive Radio\, Co
 gnitive Radar\, and Cognitive Electronic Warfare share a common AI foundat
 ion\, and why this matters across domains. From tactical missions to civil
 ian infrastructure\, including RF interference in critical medical systems
 \, the stakes are high and the need for intelligent adaptation is urgent.\
 n\nThe talk will highlight:\n\n-\n- Where and how AI functions within RF s
 ystems\n- Strategies for real-time\, in-mission learning and adaptation\n-
  Evaluation methods for systems that learn on the fly\n- Cross-sector rele
 vance\, from military systems to civilian settings This presentation draws
  from the book Cognitive Electronic Warfare: An Artificial Intelligence Ap
 proach and aims to inspire engineers\, researchers\, and decision-makers a
 cross defense\, healthcare\, and communications to rethink what’s possib
 le when RF meets AI.\n\n7:30  Networking (Members\, Guests)\n\n7:50 Adjour
 n\n\nSpeaker(s): Karen Haigh\n\nAgenda: \n6:05 Registration\, Pizza Served
  (TC Officers)\n\n6:25  Welcome and Updates (John Berkner)\n\n6:30  Guest 
 Speaker: Cognitive RF Systems: Real-time Learning in Dynamic RF Environmen
 ts (Dr. Karen Haigh)\n\n7:30  Networking (Members\, Guests)\n\n7:50 Adjour
 n\n\nRoom: 218\, Bldg: New Brighton Community Center\, 803 Old Highway 8 N
 W \, New Brighton\, Minnesota\, United States\, 55112
LOCATION:Room: 218\, Bldg: New Brighton Community Center\, 803 Old Highway 
 8 NW \, New Brighton\, Minnesota\, United States\, 55112
ORGANIZER:john.berkner@ieee.org
SEQUENCE:13
SUMMARY:Twin Cities Section IEEE Consultant&#39;s Network Meeting
URL;VALUE=URI:https://events.vtools.ieee.org/m/519785
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&lt;strong&gt;&lt;span style=&quot;mso
 -spacerun: yes\;&quot;&gt;In-person Event: Room 218\, New Brighton Community Cente
 r\, 6:00 &amp;ndash\; 8pm&lt;br&gt;AI &amp;amp\; Emerging Trends&amp;nbsp\;&lt;/span&gt;&lt;/strong&gt;&lt;
 /p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;strong&gt;&lt;span style=&quot;mso-spacerun: yes\;&quot;&gt;Topic:
 &amp;nbsp\; Cognitive RF Systems: Real-time Learning in Dynamic RF Environment
 s&lt;/span&gt;&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;em&gt;Registration is re
 quested to help in ordering sufficient pizza/beverages&lt;/em&gt;&lt;/p&gt;\n&lt;p class=
 &quot;MsoNormal&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;6:05&lt;span style=&quot;mso-spaceru
 n: yes\;&quot;&gt;&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;Registration\, Pizza Served (TC Officers)&lt;/
 p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;6:25 &lt;span style=&quot;mso-spacerun: yes\;&quot;&gt;&amp;nbsp\;&lt;/s
 pan&gt;Welcome and Updates (John Berkner)&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;6:30 &lt;spa
 n style=&quot;mso-spacerun: yes\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;Guest Speaker: &lt;strong&gt;Cogniti
 ve RF Systems: Real-time Learning in Dynamic RF Environments (Dr. Karen Ha
 igh)&lt;/strong&gt;&lt;/p&gt;\n&lt;p style=&quot;padding-left: 40px\;&quot;&gt;Radio frequency (RF) en
 vironments are growing more congested\, contested\, and complex\, impactin
 g everything from national defense to medical devices. This presentation e
 xplores how artificial intelligence (AI) is transforming RF systems to ada
 pt in real time to dynamic conditions\, novel emitters\, and unpredictable
  interference. By embedding techniques like situation assessment\, decisio
 n-making\, and machine learning directly into RF workflows\, we create sma
 rter\, faster\, and more resilient systems.&lt;/p&gt;\n&lt;p style=&quot;padding-left: 4
 0px\;&quot;&gt;In this talk\, I will describe how Cognitive Radio\, Cognitive Rada
 r\, and Cognitive Electronic Warfare share a common AI foundation\, and wh
 y this matters across domains. From tactical missions to civilian infrastr
 ucture\, including RF interference in critical medical systems\, the stake
 s are high and the need for intelligent adaptation is urgent.&lt;/p&gt;\n&lt;p styl
 e=&quot;padding-left: 40px\;&quot;&gt;The talk will highlight:&lt;/p&gt;\n&lt;ol&gt;\n&lt;li style=&quot;li
 st-style-type: none\;&quot;&gt;\n&lt;ol&gt;\n&lt;li&gt;Where and how AI functions within RF sy
 stems&lt;/li&gt;\n&lt;li&gt;Strategies for real-time\, in-mission learning and adaptat
 ion&amp;nbsp\;&lt;/li&gt;\n&lt;li&gt;Evaluation methods for systems that learn on the fly&amp;
 nbsp\;&lt;/li&gt;\n&lt;li&gt;Cross-sector relevance\, from military systems to civilia
 n settings This presentation draws from the book Cognitive Electronic Warf
 are: An Artificial Intelligence Approach and aims to inspire engineers\, r
 esearchers\, and decision-makers across defense\, healthcare\, and communi
 cations to rethink what&amp;rsquo\;s possible when RF meets AI.&lt;/li&gt;\n&lt;/ol&gt;\n&lt;
 /li&gt;\n&lt;/ol&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;7:30&amp;nbsp\;&lt;span style=&quot;mso-spacerun: ye
 s\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;Networking (Members\, Guests)&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;
 &gt;7:50&lt;span style=&quot;mso-spacerun: yes\;&quot;&gt;&amp;nbsp\; &lt;/span&gt;Adjourn&lt;/p&gt;&lt;br /&gt;&lt;br
  /&gt;Agenda: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot;&gt;6:05&lt;span style=&quot;mso-spacerun: yes\;
 &quot;&gt;&amp;nbsp\; &lt;/span&gt;Registration\, Pizza Served (TC Officers)&lt;/p&gt;\n&lt;p class=&quot;
 MsoNormal&quot;&gt;6:25 &lt;span style=&quot;mso-spacerun: yes\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;Welcome an
 d Updates (John Berkner)&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;6:30 &lt;span style=&quot;mso-s
 pacerun: yes\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;Guest Speaker: &lt;strong&gt;Cognitive RF Systems:
  Real-time Learning in Dynamic RF Environments (Dr. Karen Haigh)&lt;/strong&gt;&lt;
 /p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;7:30 &lt;span style=&quot;mso-spacerun: yes\;&quot;&gt;&amp;nbsp\;&lt;/
 span&gt;Networking (Members\, Guests)&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;7:50&lt;span sty
 le=&quot;mso-spacerun: yes\;&quot;&gt;&amp;nbsp\; &lt;/span&gt;Adjourn&lt;/p&gt;
END:VEVENT
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