BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20241120T155216Z UID:88128B5E-49BC-47F9-9434-E0A79783EB93 DTSTART;TZID=US/Eastern:20241119T190000 DTEND;TZID=US/Eastern:20241119T200000 DESCRIPTION:This talk will overview and discuss the 2024 edition of the Art ificial Intelligence and Machine Learning (AI/ML) chapter of the IEEE Inte rnational Network Generations Roadmap (INGR). It focuses on the comingling of AI/ML and networking in ways that would make the network itself intell igent. This edition recognizes the 6G/IMT-2030 vision and the many AI/ML i nnovations introduced circa 2023-2024\, and explores new potential capabil ities enabled and new questions inspired thereof. Beyond enhancing classic al network performance KPIs\, this edition contemplates what it means to h ave intelligence in the network and what else can be done with it.\n\nKey Topics:\n\n· AI/ML-Defined Radio\, a radio architecture specifically desi gned to support AI/ML-based optimization and decision-making in communicat ion functions\;\n\n· Integrated Sensing\, using the wireless communicatio ns network to sense the environment\;\n\n· Reconfigurable Intelligent Sur face (RIS)\, optimizing the configuration of reflective surfaces to reshap e radio signal propagations\;\n\n· Generative-AI (GenAI) for Prediction-B ased Networking\, using AI/ML to predict and generate content in the netwo rk rather than merely replicating data from hop to top\, also using GenAI as an alternative to traditional congestion control\;\n\n· updates on sys tems analytics\, dynamic digital twins\, and the Dynamic Data Driven Appli cation Systems (DDDAS) paradigm\;\n\n· Next-generation AI for next-genera tion wireless networks\, expansive vision that seeks to incorporate such c oncepts as artificial general intelligence (AGI)\, the telecom brain\, rea soning that recognizes causality\, distributed collective intelligence\, s emantic communication\, distributed universal foundation models\, etc. int o wireless networks.\n\nSpeaker(s): Baw Chng\n\nAgenda: \nWEBINAR: 7:00 - 8:00 P.M.\n\nThe Zoom Webinar link and password will be forwarded to all r egistered participants after Noon on the day of the meeting. Check your sp am folder if you don't see the email.\n\nWebinar is open to all.\n\nPDH ce rtificates are available and an evaluation form will be emailed to you aft er the meeting. PDH certificate are sent by IEEE USA 3-4 weeks after the m eeting.\n\nVirtual: https://events.vtools.ieee.org/m/438468 LOCATION:Virtual: https://events.vtools.ieee.org/m/438468 ORGANIZER:ieee@gpamg.org SEQUENCE:21 SUMMARY:Artificial Intelligence and Machine Learning (AI/ML)\, 2024 IEEE In ternational Network Generations Roadmap URL;VALUE=URI:https://events.vtools.ieee.org/m/438468 X-ALT-DESC:Description: <br /><p class="MsoNormal">This talk will overview and discuss the 2024 edition of the Artificial Intelligence and Machine Le arning (AI/ML) chapter of the IEEE International Network Generations Roadm ap (INGR). It focuses on the comingling of AI/ML and networking in ways th at would make the network itself intelligent. This edition recognizes the 6G/IMT-2030 vision and the many AI/ML innovations introduced circa 2023-20 24\, and explores new potential capabilities enabled and new questions ins pired thereof. Beyond enhancing classical network performance KPIs\, this edition contemplates what it means to have intelligence in the network and what else can be done with it.&nbsp\;</p>\n<p class="MsoNormal">Key Topic s:</p>\n<p class="MsoListParagraphCxSpFirst" style="margin-left: .25in\; m so-add-space: auto\; text-indent: -.25in\; mso-list: l0 level1 lfo1\;"><!- - [if !supportLists]--><span style="font-family: Symbol\; mso-fareast-font -family: Symbol\; mso-bidi-font-family: Symbol\;"><span style="mso-list: I gnore\;">&middot\;<span style="font: 7.0pt 'Times New Roman'\;">&nbsp\;&nb sp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; </span></span></span><!--[e ndif]-->AI/ML-Defined Radio\, a radio architecture specifically designed t o support AI/ML-based optimization and decision-making in communication fu nctions\;</p>\n<p class="MsoListParagraphCxSpMiddle" style="margin-left: . 25in\; mso-add-space: auto\; text-indent: -.25in\; mso-list: l0 level1 lfo 1\;"><!-- [if !supportLists]--><span style="font-family: Symbol\; mso-fare ast-font-family: Symbol\; mso-bidi-font-family: Symbol\;"><span style="mso -list: Ignore\;">&middot\;<span style="font: 7.0pt 'Times New Roman'\;">&n bsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; </span></span></spa n><!--[endif]-->Integrated Sensing\, using the wireless communications net work to sense the environment\;</p>\n<p class="MsoListParagraphCxSpMiddle" style="margin-left: .25in\; mso-add-space: auto\; text-indent: -.25in\; m so-list: l0 level1 lfo1\;"><!-- [if !supportLists]--><span style="font-fam ily: Symbol\; mso-fareast-font-family: Symbol\; mso-bidi-font-family: Symb ol\;"><span style="mso-list: Ignore\;">&middot\;<span style="font: 7.0pt ' Times New Roman'\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp \; </span></span></span><!--[endif]-->Reconfigurable Intelligent Surface ( RIS)\, optimizing the configuration of reflective surfaces to reshape radi o signal propagations\;</p>\n<p class="MsoListParagraphCxSpMiddle" style=" margin-left: .25in\; mso-add-space: auto\; text-indent: -.25in\; mso-list: l0 level1 lfo1\;"><!-- [if !supportLists]--><span style="font-family: Sym bol\; mso-fareast-font-family: Symbol\; mso-bidi-font-family: Symbol\;"><s pan style="mso-list: Ignore\;">&middot\;<span style="font: 7.0pt 'Times Ne w Roman'\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; </spa n></span></span><!--[endif]-->Generative-AI (GenAI) for Prediction-Based N etworking\, using AI/ML to predict and generate content in the network rat her than merely replicating data from hop to top\, also using GenAI as an alternative to traditional congestion control\;</p>\n<p class="MsoListPara graphCxSpMiddle" style="margin-left: .25in\; mso-add-space: auto\; text-in dent: -.25in\; mso-list: l0 level1 lfo1\;"><!-- [if !supportLists]--><span style="font-family: Symbol\; mso-fareast-font-family: Symbol\; mso-bidi-f ont-family: Symbol\;"><span style="mso-list: Ignore\;">&middot\;<span styl e="font: 7.0pt 'Times New Roman'\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nb sp\;&nbsp\;&nbsp\; </span></span></span><!--[endif]-->updates on systems a nalytics\, dynamic digital twins\, and the Dynamic Data Driven Application Systems (DDDAS) paradigm\;</p>\n<p class="MsoListParagraphCxSpLast" style ="margin-left: .25in\; mso-add-space: auto\; text-indent: -.25in\; mso-lis t: l0 level1 lfo1\;"><!-- [if !supportLists]--><span style="font-family: S ymbol\; mso-fareast-font-family: Symbol\; mso-bidi-font-family: Symbol\;"> <span style="mso-list: Ignore\;">&middot\;<span style="font: 7.0pt 'Times New Roman'\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; </s pan></span></span><!--[endif]-->Next-generation AI for next-generation wir eless networks\, expansive vision that seeks to incorporate such concepts as artificial general intelligence (AGI)\, the telecom brain\, reasoning t hat recognizes causality\, distributed collective intelligence\, semantic communication\, distributed universal foundation models\, etc. into wirele ss networks.</p><br /><br />Agenda: <br /><p><strong>WEBINAR:</strong>&nbs p\;7:00 - 8:00 P.M.&nbsp\;</p>\n<p>The Zoom Webinar link and password will be forwarded to all registered participants after Noon on the day of the meeting. <strong>Check your spam folder if you don't see the email.&nbsp\; </strong></p>\n<p>Webinar is open to all.</p>\n<p>PDH certificates are ava ilable and an evaluation form will be emailed to you after the meeting. PD H certificate are sent by IEEE USA 3-4 weeks after the meeting.</p> END:VEVENT END:VCALENDAR