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…
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…
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,…
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…
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…
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…
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…
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…
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…
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.…