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One of Renode’s practical advantages for real-world systems is its ability to simulate heterogeneous multi-core systems, such as ones including both Cortex-A and Cortex-M cores.
A recent example of an interesting platform...
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Originally published on 14th July 2025 by Analog Devices, Inc (ADI)
Accelerating Edge AI Innovation
AI is rapidly moving to the edge with demand for intelligent edge devices exploding, but many developers still struggle...
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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...
