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UID:69da2e1247418@www.leap-up.com
DTSTAMP:20260411T131842Z
DTSTART:20220209T160000Z
DTEND:20220209T170000Z
SUMMARY:Edge AI – Automation of the Partitioning of AI Algorithms between Edge Device and Cloud
DESCRIPTION:Webinar Content\nAI-based systems are increasingly being used in companies\, for example for process control. For the execution of AI algorithms\, these systems require high computing power\, which can currently only be provided by cloud solutions.\nWith increasing real-time requirements and data loads for the intelligent systems\, data processing in the cloud has significant disadvantages. Edge AI approaches\, in which data processing is divided into local preprocessing on the edge device and postprocessing in the cloud\, promise a solution. However\, the division of AI algorithms is not yet supported by software. In this webinar\, our experts present a design process that can significantly accelerate and automate the partitioning of AI algorithms between the edge device and the cloud.\n&nbsp\;
LOCATION:Fraunhofer Institute for Integrated Circuits IIS\, Division Engineering of Adaptive Systems EAS\, Münchner Straße 16\, 01187 Dresden
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