BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Tokyo BEGIN:STANDARD DTSTART:19510909T000000 TZOFFSETFROM:+1000 TZOFFSETTO:+0900 TZNAME:JST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260226T085744Z UID:824A3679-CFF4-408B-AD1C-8F1152EB6E29 DTSTART;TZID=Asia/Tokyo:20260325T103000 DTEND;TZID=Asia/Tokyo:20260325T113000 DESCRIPTION:Lecture: Zhi Ding\, University of California\, Davis\nLecture T itle: Exploring Generative AI for Future Wireless Communications\nLocation : Discussion room 9 (14-219)\, Keio University - Faculty of Science and Te chnology\, Tokyo\, Japan\nDate and time: March 25\, 10:30-11:30\n\nAbstrac t:\nThe recent wave of progress in generative artificial intelligence (AI) \nhas stimulated numerous novel concepts and achieved phenomenal success\n in modern applications\, including ChatGPT. Beyond its critical role in\nc ontent generation for computer vision and natural language processing\,\ng enerative AI presents profound opportunities and unlimited potential in\nw ireless communications and networking. In this talk\, we systematically\na ddress the tremendous potential and opportunities presented by the\nemerge nce and integration of generative AI in high-efficiency and\ncontextual co mmunication networks. We present a transformative design of\na future go-o riented contextual communication framework enabled by\ngenerative models o f stable diffusion. Specifically\, we deliver clear\ndesign and implementa tion steps\, analyze properties and performances\,\nand expand on potentia l future extensions\n\nYokohama\, Kanagawa\, Japan LOCATION:Yokohama\, Kanagawa\, Japan ORGANIZER:r-nakamura@fukuoka-u.ac.jp SEQUENCE:18 SUMMARY:DSP: Exploring Generative AI for Future Wireless Communications URL;VALUE=URI:https://events.vtools.ieee.org/m/542654 X-ALT-DESC:Description: <br /><p>Lecture: Zhi Ding\, University of Californ ia\, Davis<br>Lecture Title: Exploring Generative AI for Future Wireless C ommunications<br>Location: Discussion room 9 (14-219)\, Keio University - Faculty of Science and Technology\, Tokyo\, Japan<br>Date and time: March 25\, 10:30-11:30</p>\n<p>Abstract:<br>The recent wave of progress in gener ative artificial intelligence (AI)<br>has stimulated numerous novel concep ts and achieved phenomenal success<br>in modern applications\, including C hatGPT. Beyond its critical role in<br>content generation for computer vis ion and natural language processing\,<br>generative AI presents profound o pportunities and unlimited potential in<br>wireless communications and net working. In this talk\, we systematically<br>address the tremendous potent ial and opportunities presented by the<br>emergence and integration of gen erative AI in high-efficiency and<br>contextual communication networks. We present a transformative design of<br>a future go-oriented contextual com munication framework enabled by<br>generative models of stable diffusion. Specifically\, we deliver clear<br>design and implementation steps\, analy ze properties and performances\,<br>and expand on potential future extensi ons</p> END:VEVENT END:VCALENDAR