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DTSTART;TZID=Europe/Berlin:20250813T160000
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SUMMARY:Embedded AI: Creating More Efficient Deep Learning Models
DESCRIPTION:Learn how to use AI models efficiently on embedded systems and small devices\n\n\nEmbedded AI has many applications in healthcare\, the automotive industry\, and smart homes. One issue is finding suitable embedded hardware for a particular application. This workshop offers fundamentals of embeddded AI and gets you started applying models on small hardware devices! \nWhat to Expect: \n\nIntroduction to embedded AI and its applications 🚀\nLearn about Decision-Making Factors like accuracy\, cost\, memory\, programming efforts\, and power consumption 🔍\nTry out different models in hands-on sessions using Colab 🛠️\n\n🗣️ Speaker: Mohammad Ali Zamani – Senior Machine Learning Applied Scientist & Research Associate at HITeC\, University of Hamburg \n🇬🇧 Language: This workshop will be held in English. \n❗Disclaimer: This workshop is offered by HITeC e.V. within the EDIH Hamburg initiative. \nEDIH Hamburg part of the European Digital Innovation Hub (EDIH) program aimed at equipping small and medium-sized enterprises (SMEs)\, mid-caps as well public sector administrations (PSO) in the Hamburg metropolitan area for tomorrow’s challenges. Requirements for critical infrastructure are changing as we speak\, and new solutions must be evaluated and implemented – ranging from general digitalization topics\, matters of cybersecurity\, artificial intelligence\, distributed infrastructure\, or high-performance computing.
URL:https://edih-hamburg.de/event/embedded-ai-creating-more-efficient-deep-learning-models-2/
LOCATION:HH
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