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Creating Machine Learning models for deployment on constrained devices requires a considerable number of manual tweaks. Developers need to take into account the size and compute constraints of the target platform to adjust...
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Kenning and Kenning Zephyr Runtime enable easy, iterative development of ML models deployed on Zephyr RTOS using various AI inference libraries. When testing models on a device with Kenning, switching between models is usually...
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While the advent of Large Language Models has brought significant leaps in many areas including text analysis and computer vision, translating to benefits across a variety of industries, the size of the models can be a limitation...
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To streamline Antmicro’s wide-ranging embedded product development work for customers in aerospace, medical, automotive and other areas, we have been building a portfolio of reference designs and making it available on our...
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Antmicro’s engineering services cover the entire cycle of product development – from choosing suitable hardware, through preparing BSPs (board support packages), to in-field deployment and fleet management. We help build complete...
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For complex ML systems involving many sensors (e.g. cameras, depth sensors, accelerometers), interconnected algorithms and a sophisticated control flow, system performance monitoring is a challenging problem. To architect these...
