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PRODID:IEEE vTools.Events//EN
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DTSTART:20260308T030000
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DTSTART:20261101T010000
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DTSTAMP:20260425T192933Z
UID:A67AE7AF-4270-416D-91C9-92D38AC4D39C
DTSTART;TZID=America/Los_Angeles:20260506T180000
DTEND;TZID=America/Los_Angeles:20260506T190000
DESCRIPTION:This talk explores how Edge AI deployed within connected vehicl
 es is enabling practical safety and telematics use cases—such as real‑
 time crash detection\, while complementing cloud intelligence. The discuss
 ion is framed at a high level\, focusing on system‑level edge‑vs‑clo
 ud tradeoffs (latency\, resiliency\, privacy\, and cost).\n\nSpeaker(s): P
 ushpak\n\nAgenda: \n6:00-6:50pm Lecture\n\n6:50-7:00pm Q&A\n\nVirtual: htt
 ps://events.vtools.ieee.org/m/557134
LOCATION:Virtual: https://events.vtools.ieee.org/m/557134
ORGANIZER:lei.sun@ieee.org
SEQUENCE:16
SUMMARY:2026 VTS Tech Talk: Edge AI + Telematics: Safety\, and the Edge–C
 loud Split in Modern Vehicles
URL;VALUE=URI:https://events.vtools.ieee.org/m/557134
X-ALT-DESC:Description: <br /><p class="MsoNormal">This talk explores how E
 dge AI deployed within connected vehicles is enabling practical safety and
  telematics use cases&mdash\;such as real‑time crash detection\, while c
 omplementing cloud intelligence. The discussion is framed at a high level\
 , focusing on system‑level edge‑vs‑cloud tradeoffs (latency\, resili
 ency\, privacy\, and cost).</p><br /><br />Agenda: <br /><p>6:00-6:50pm Le
 cture</p>\n<p>6:50-7:00pm Q&amp\;A</p>\n<p>&nbsp\;</p>
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