BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
DTSTART:20190331T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20181028T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20190123T163957Z
UID:105B093D-0A97-45DA-9800-C5D9AC631B3B
DTSTART;TZID=Europe/Paris:20181214T140000
DTEND;TZID=Europe/Paris:20181214T150000
DESCRIPTION:Internet-of-Things (IoT) is the inter-networking of physical de
 vices\, vehicles\, buildings\, and objects with embedded sensors. It is es
 timated that by 2020 there will be more than 34 billion IoT devices connec
 ted to the Internet. Nearly $6 trillion will be spent on IoT solutions ove
 r the next five years. Artificial Intelligence (AI)\, on the other hand\, 
 is intelligence demonstrated by machines that work and react like humans. 
 The combination of AI and IoT gives birth of Artificial Intelligence-of-Th
 ings (AIoT). AIoT devices differ from IoT devices that not only they sense
 \, store\, transmit data but also analyze and act on data\, i.e. the AIoT 
 device makes a decision or perform a task similar to what a person could d
 o. The enabling technology for the AIoT device is embedded AI. This talk w
 ill cover the energy efficient system architecture that utilizes the event
 -driven signal representation. The event-driven signal representation enab
 les data compression at the input source\, which greatly reduces the power
  for data transmission and processing. We will show by examples that the e
 vent-driven system significantly improves energy efficiency and is well su
 ited for AIoT applications.\n\nSpeaker(s): Prof. Yong Lian\, \n\nRoom: Amp
 hi Thévenin\, Telecom ParisTech\, 46\, rue Barrault\, PARIS\, Ile-de-Fran
 ce\, France\, 75013
LOCATION:Room: Amphi Thévenin\, Telecom ParisTech\, 46\, rue Barrault\, PA
 RIS\, Ile-de-France\, France\, 75013
ORGANIZER:patricia.desgreys@telecom-paristech.fr
SEQUENCE:5
SUMMARY:Energy Efficient System Architecture for Devices in Artificial Inte
 lligence-of-Thing
URL;VALUE=URI:https://events.vtools.ieee.org/m/182833
X-ALT-DESC:Description: <br /><p>Internet-of-Things (IoT) is the inter-netw
 orking of physical devices\, vehicles\, buildings\, and objects with embed
 ded sensors. It is estimated that by 2020 there will be more than 34 billi
 on IoT devices connected to the Internet. Nearly $6 trillion will be spent
  on IoT solutions over the next five years. Artificial Intelligence (AI)\,
  on the other hand\, is intelligence demonstrated by machines that work an
 d react like humans. The combination of AI and IoT gives birth of Artifici
 al Intelligence-of-Things (AIoT). AIoT devices differ from IoT devices tha
 t not only they sense\, store\, transmit data but also analyze and act on 
 data\, i.e. the AIoT device makes a decision or perform a task similar to 
 what a person could do. The enabling technology for the AIoT device is emb
 edded AI. This talk will cover the energy efficient system architecture th
 at utilizes the event-driven signal representation. The event-driven signa
 l representation enables data compression at the input source\, which grea
 tly reduces the power for data transmission and processing. We will show b
 y examples that the event-driven system significantly improves energy effi
 ciency and is well suited for AIoT applications.</p>
END:VEVENT
END:VCALENDAR