Though I never got fully invested in #zephyr #rtos, and although the interoperability with different #MCU's and vendors have a lot of appeal, I don't know how effective it'd be?

Peripherals implemented by different vendors may be fundamentally different. Requiring different strategy on utilising them and implementing code.

My @igalia colleague Ricardo Cañuelo has just published a very interesting step-by-step guide on the design and implementation of a technical demo of his work on #Zephyr. Check it out!

https://blogs.igalia.com/rcn/posts/20260317-why_dont_we_do_a_demo_part_1/index.html

This is just the first part, and more details will be presented in future blog posts.

Why don't we do a demo? Part 1: the plan

rcn's articles about work and software

@timonsku yes! Nordic sent me a sample a while back, and I'm itching to get ZMK updated to new enough #zephyr that we can use it.

I realize this is a stretch, but has anyone worked with #Zephyr on #NixOS? I'm getting an error because GCC pulled in by Zephyr is dynamically linked and NixOS does not like that.

#ZephyrRTOS

Texas Instruments MSPM0G5187 and AM13Ex MCUs integrate TinyEngine NPU for Edge AI applications

Texas Instruments MSPM0G5187 and AM13Ex are two new microcontroller (MCU) families featuring the company's  TinyEngine neural processing unit (NPU) to enable low-latency, high-efficiency Edge AI/Machine Learning inference on the chips. TI claims that the TinyEngine NPU can run AI models with up to 90 times lower latency and more than 120 times lower energy utilization per inference than similar MCUs without an accelerator.  The MSPM0G5187 is a general-purpose, low-power Arm Cortex-M0+ MCU, while the AM13Ex Arm Cortex-M33 microcontroller targets real-time motor control, starting with the AM13E23019 SKU. TI MSPM0G5187 general-purpose Cortex-M0+ MCU Key features and specifications: CPU - Arm Cortex-M0+ @ 80 MHz Memory - 32 KB RAM with ECC Storage - 128 KB flash with ECC, 8 KB data flash with ECC Accelerators TinyEngine NPU for AI/ML delivering up to 2.56GOPS (Giga Operations Per Second) at 80MHz MATHACL math accelerator Peripherals USB - 1x USB 2.0 (12 Mbps) Audio

CNX Software - Embedded Systems News

Tomorrow at Embedded World! Hall 4, Booth 4-443.

→ Moonforge, our new Yocto-based framework for production-ready embedded Linux — live OTA updates on RPi5 with RAUC and hawkBit
→ Zephyr RTOS: a full BLE app on ARM Cortex-M, upstream-only, no proprietary SDK
→ WPE WebKit running on embedded devices

Two talks:
🗓 Tue 14:45 — @marga on modern Yocto best practices
🗓 Thu 15:00 — @mariospr on web engines for embedded devices

#EmbeddedWorld #ew26 #Yocto #WPEWebKit #Zephyr #OpenSource

The wild blue yonder was vibrant as the zephyr’s golden glow brought comfort to the start of the peaceful evening, as the day slowly came to an end.

#Zephyr #GoldenHour #Glow #Nature #Photography

https://asterisk15.wordpress.com/2026/03/06/the-zephyrs-golden-glow/

The Zephyr’s Golden Glow!

The wild blue yonder was vibrant as the zephyr’s golden glow brought comfort to the start of the peaceful evening, as the day slowly came to an end.

Mother Nature

Zephyr Turns 10.
A decade of open governance and real-world deployment.
New Linux Foundation research confirms strong global adoption and long-lifecycle production use.

Most organizations plan to grow their Zephyr footprint. Many already rely on it in commercial products designed to operate for years.
The next phase focuses on maintenance, certifications, and ecosystem resilience.
Read the report and get involved.
https://www.linuxfoundation.org/research/zephyr-turns-10

#Zephyr #OpenSource #RTOS #LinuxFoundation #IoT

Zephyr® Turns 10: A Decade of Adoption, Maturity, and Ecosystem Evolution

Zephyr® Turns 10: A Decade of Adoption, Maturity, and Ecosystem Evolution