This blog was originally published by Infineon and written by Akshara Arun. We are re-running it here for the Zephyr Project audience. If you have ever wanted to see ideas…
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Blog post by the Antmicro team, Zephyr ecosystem member. When developing AI applications for embedded platforms, it is crucial to properly identify execution bottlenecks which are heavily dependent on matching…
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Written by Jacob Beningo, CEO at Beningo Embedded Group Most embedded developers struggle to move beyond simple examples into scalable, testable, maintainable systems. The complexity of modern workflows, device trees,…
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This is an abstract of the blog "How to Flash a Pre-Loaded Filesystem During Production" written by Mike Szczys from Golioth.Zephyr’s filesystem API makes it simple to read and write…
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This blog post is written by the Antmicro team, an active ecosystem member of the Zephyr Project. Tailoring neural network models to fit on resource-constrained devices is a multi-criterion optimization…
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Written by Ava West, former intern at Intel Hi, I’m Ava - a former intern at Intel, working under Amber Hibberd, who had the privilege to contribute a small piece…
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This article originally ran on the Baylibre website. For more content like this, click here. At BayLibre we are often asked by our customers to help them select the right…
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Written by Dr. Johan Kraft, CTO of Percepio For more content like this, visit the Percepio website. Percepio View is a free -of-charge tracing tool for Zephyr applications, built on…
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This blog post is contributed by Antmicro, a member company of the Zephyr Project. Antmicro's automotive customers are using the versatile simulation capabilities of Renode for developing and testing multi-node…
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This blog post is contributed by Antmicro, a member company of the Zephyr Project. Creating Machine Learning models for deployment on constrained devices requires a considerable number of manual tweaks.…
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