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UID:69e8cb73add55@leapup.bitshifters.cloud
DTSTAMP:20260422T152155Z
DTSTART:20250416T153000Z
DTEND:20250416T184500Z
SUMMARY:Workshop: Which hardware suits my AI? - Insights into the systematic performance evaluation of edge devices
DESCRIPTION:Implement digitalisation projects with the help of AI on local edge devices within your company\nThanks to the possibilities of AI\, manufacturing companies\, for example\, can minimise investment risks with regard to wear and tear on critical plant technology and downtimes\, guarantee process stability and functional reliability and at the same time reduce their energy consumption and costs. Many companies do not analyse the data from the AI application in the cloud due to data protection requirements\, the speed of data processing and the costs involved. Due to high sampling rates in sensor data acquisition\, edge devices in which real-time analyses and AI models are installed directly in the end devices are particularly in demand for recording and analysing vibrations on machines.
LOCATION:Fraunhofer IIS/EAS\, Münchner Straße 16\, 01187 Dresden
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