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UID:69e4acb746e91@leapup.bitshifters.cloud
DTSTAMP:20260419T122143Z
DTSTART:20240313T150000Z
DTEND:20240313T160000Z
SUMMARY:AI solutions at the edge - a systematic performance evaluation
DESCRIPTION:For many industrial AI applications\, data analysis in the cloud is not an option today. Edge devices are particularly in demand for recording and analysing vibrations on machines due to the high sampling rates of sensor data acquisition. But which hardware offers the right performance and the lowest costs for a specific AI application? The webinar will present edge devices currently available on the market and discuss their special features. Using application examples\, approaches for a systematic performance evaluation will be explained and possibilities for adapting AI models to the specifics of the hardware architecture and thus minimising energy and cost requirements will be presented.\nFurther information
LOCATION:Fraunhofer IIS/EAS\, Münchner Straße 16\, 01187 Dresden Dresden
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