BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ICES - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:ICES
X-ORIGINAL-URL:https://www.ices.kth.se
X-WR-CALDESC:Events for ICES
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20201025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20210427T130000
DTEND;TZID=Europe/Stockholm:20210427T160000
DTSTAMP:20260601T152916
CREATED:20201029T102320Z
LAST-MODIFIED:20210427T120924Z
UID:1682-1619528400-1619539200@www.ices.kth.se
SUMMARY:Behind The Scene Seminar with Imsys - Empowering AI at the edge
DESCRIPTION:Previously AI and Machine Learning have been something taking place behind closed doors in data centers where it’s easy to provide a lot of computational power. Today\, with all the new use cases\, we want to have access to the strength of advanced AI in different distributed scenarios. It could be an autonomous vehicle\, automatic entrance doors at a shopping mall\, or in an application for monitoring the elderly. However\, with the growing number of advanced sensors\, your hardware needs to be optimized to handle the enormous amount of data generated every millisecond. Secondly\, your hardware needs to handle all that data in a robust and energy-efficient way. Especially if your application is mission-critical and runs on a battery\, like a self-driving car. \nTogether with Imsys we will\, in this three-step seminar\, give you a deep look under the hood of how to build and optimize AI hardware for different edge scenarios. The AI edge applications for the optimized hardware will be presented by Qamcom. Imsys is a Swedish-based designer\, developer\, and supplier of AI accelerators and networked control solutions. Qamcom is a Swedish AI technology to value service company. \n  \nApril 27th\, 2021 \nSession 1 starting 13:00 – The complexity of deploying AI in edge solutions. \nSession 2 starting 14:30 – Optimize your hardware for advanced AI solutions. \n  \nNote: These two sessions will be held via ZOOM. A meeting URL will be distributed before the event. \n 
URL:https://www.ices.kth.se/event/behind-the-scene-seminar-with-imsys-ai-in-edge-solutions/
CATEGORIES:ICES
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/sites/56/2020/10/Imsys-Updated-NewNewDates-1.jpg
ORGANIZER;CN="The ICES Network":MAILTO:ices-admin@kth.se
END:VEVENT
END:VCALENDAR