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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...
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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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The CAN (Controller Area Network) bus in its various flavors is used in environments such as automotive and space where a high level of reliability is required. Antmicro’s open source Renode simulation framework lets you build...
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Reliable, fast and secure updates are crucial for uptime and scalability of physically dispersed industrial setups Antmicro helps build, and in order to address this need for internal and customer projects, we have been developing...
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The openness and customizability of the RISC-V ISA has encouraged its use across a variety of scenarios, such as supporting cores in larger systems, standalone embedded MCUs and even many-core server AI processing solutions
