Tailoring neural network models to fit on resource-constrained devices is a multi-criterion optimization problem, difficult or impossible to solve manually. Antmicro has been working with Analog Devices, Inc (ADI) to add an...
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...
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...
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...
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...
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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