BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260805T014326Z UID:D5D07EFE-4F3E-4B0B-A219-1532F74E850A DTSTART;TZID=America/Los_Angeles:20260911T180000 DTEND;TZID=America/Los_Angeles:20260911T200000 DESCRIPTION:Modern AI does not understand pixels or words. It understands l atent structure. As these invisible representations become the language th rough which humans and machines communicate\, they will fundamentally rede fine how we create\, discover\, and collaborate. This lecture reveals the mathematics behind these hidden spaces and explores why they may become th e most important interface between human intelligence and artificial intel ligence.\n\nThis lecture explores the evolution of latent representations from Variational Autoencoders\, which first learned meaningful probabilist ic embeddings\, to Generative Adversarial Networks\, which demonstrated ph otorealistic generation while exposing challenges in stability and control \, and finally to diffusion models and Stable Diffusion\, which combine ex ceptional image quality with unprecedented controllability and robustness. \n\nBeyond the algorithms\, the talk examines how latent representations a re transforming human-AI interaction. By enabling AI systems to reason\, g enerate\, and collaborate through shared abstract representations\, they a re reshaping creativity\, scientific discovery\, healthcare\, education\, and engineering. Understanding these hidden spaces offers not only insight into how modern AI works\, but also a glimpse into a future where humans and intelligent machines communicate and co-create in entirely new ways.\n \nNote:\n\n- You will require a Zoom account (free to obtain) to join the meeting. This requirement is to avoid Zoom bombing. Please sign in using t he email address tied to your Zoom account\, not necessarily the one you u sed to register for the event.\n- By registering for this event\, you agre e that IEEE and the organizers are not liable to you for any loss\, damage \, injury\, or any incidental\, indirect\, special\, consequential\, or ec onomic loss or damage (including loss of opportunity\, exemplary or puniti ve damages). The event will be recorded and will be made available for pub lic viewing.\n\nCo-sponsored by: Vishnu S. Pendyala\, SJSU\n\nSpeaker(s): Dr. Narayan Srinivasa\, IEEE Fellow \, Dr. Vishnu S. Pendyala\n\nVirtual: https://events.vtools.ieee.org/m/570049 LOCATION:Virtual: https://events.vtools.ieee.org/m/570049 ORGANIZER:pendyala@ieee.org SEQUENCE:54 SUMMARY:Decoding the Invisible: Latent Representation and the Future of Hum an-AI Interaction URL;VALUE=URI:https://events.vtools.ieee.org/m/570049 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="text-align: justi fy\;">Modern AI does not understand pixels or words. It understands latent structure. As these invisible representations become the language through which humans and machines communicate\, they will fundamentally redefine how we create\, discover\, and collaborate. This lecture reveals the mathe matics behind these hidden spaces and explores why they may become the mos t important interface between human intelligence and artificial intelligen ce.<br><br>This lecture explores the evolution of latent representations f rom Variational Autoencoders\, which first learned meaningful probabilisti c embeddings\, to Generative Adversarial Networks\, which demonstrated pho torealistic generation while exposing challenges in stability and control\ , and finally to diffusion models and Stable Diffusion\, which combine exc eptional image quality with unprecedented controllability and robustness.< br><br>Beyond the algorithms\, the talk examines how latent representation s are transforming human-AI interaction. By enabling AI systems to reason\ , generate\, and collaborate through shared abstract representations\, the y are reshaping creativity\, scientific discovery\, healthcare\, education \, and engineering. Understanding these hidden spaces offers not only insi ght into how modern AI works\, but also a glimpse into a future where huma ns and intelligent machines communicate and co-create in entirely new ways .</p>\n<p>Note:</p>\n<ul type="disc">\n<li>You will require a Zoom account (free to obtain) to join the meeting. This requirement is to avoid Zoom b ombing. Please sign in using the email address tied to your Zoom account\, not necessarily the one you used to register for the event.</li>\n<li>By registering for this event\, you agree that IEEE and the organizers are no t liable to you for any loss\, damage\, injury\, or any incidental\, indir ect\, special\, consequential\, or economic loss or damage (including loss of opportunity\, exemplary or punitive damages). The event will be record ed and will be made available for public viewing.</li>\n</ul> END:VEVENT END:VCALENDAR