cnx-software.com3d ago

Nuvoton NuMicro M3331 Cortex-M33 MCU features built-in ARGB LED controller, optional USB 2.0 OTG interface

https://fed.brid.gy/r/https://www.cnx-software.com/2026/04/02/nuvoton-numicro-m3331-cortex-m33-mcu-features-built-in-argb-led-controller-optional-usb-2-0-otg-interface/

Nuvoton NuMicro M3331 Cortex-M33 MCU features built-in ARGB LED controller, optional USB 2.0 OTG interface

Nuvoton's new NuMicro M3331 is a series of 32-bit Arm Cortex-M33 MCUs clocked at 180 MHz that integrate an ARGB LED controller, a DSP instruction set, a single-precision FPU, and TrustZone security for smart factories, renewable energy systems, and consumer devices. In the past, we have written about other Cortex-M33 MCUs like the STM32U3B5/C5, Texas Instruments MSPM33C321A,  Nordic Semi’s nRF54LM20A, and various others, but the Nuvoton M3331 series specifically features a built-in Enhanced LED Light Strip Interface (ELLSI) and up to 10 standard LLSI channels. This allows the MCU to natively support gaming ARGB Gen1 and Gen2 LED control protocols, completely offloading the CPU to run fluid, dynamic LED effects. It comes in two variants, the M3333 series and the M3334 series, with the latter adding a high-speed USB 2.0 OTG controller with an integrated PHY. NuMicro M3331 specifications: MCU core – Arm Cortex-M33 32-bit CPU @ 180 MHz with single-precision

CNX Software - Embedded Systems News
cnx-software.com5d ago

Toradex OSM and Lino SoMs – 30×30mm NXP i.MX 93/i.MX 91 modules with solder-down or B2B connector designs

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/31/toradex-osm-and-lino-soms-30x30mm-nxp-i-mx-93-i-mx-91-modules-with-solder-down-or-b2b-connector-designs/

Toradex OSM and Lino SoMs – 30×30mm NXP i.MX 93/i.MX 91 modules with solder-down or B2B connector designs

Toradex has launched two new ultra-compact (30x30mm) System-on-Module (SoM) families: OSM and Lino, powered by NXP i.MX 91 or i.MX 93 Arm Cortex-A55 SoC for Edge industrial and IoT applications. The OSM iMX91 and OSM iMX93 variants comply with the OSM Size-S standard, featuring a 332-ball contact grid designed to be soldered to the carrier board. The Lino is a proprietary format that keeps the OSM Size-S dimensions but features two board-to-board (B2B) connectors offering more flexibility for potential replacement or future upgrades. Toradex Lino iMX91/iMX93 system-on-module Toradex Lino specifications: SoC (one or the other) NXP i.MX 93 CPU 2x Arm Cortex-A55 up to 1.7 GHz 2x Arm Cortex-M33 up to 250 MHz GPU – PXP 2D GPU with blending/composition, resize, and color space conversion NPU – Arm Ethos-U65 NPU @ 1 GHz up to 0.5 TOPS Security – EdgeLock Secure Enclave NXP i.MX 91 CPU - Single-core Arm Cortex-A55

CNX Software - Embedded Systems News
ilias 🏴‍☠️💙💛Mar 20

be advised, a new change incoming to FreeRTOS codebase soon  

#Embedded #FreeRTOS #AgeVerification #Software #FOSS #OpenSource #Firmware #Tech #Technology

morganMar 13
Frequently find myself wishing #FreeRTOS xGroupEventWaitBits would run on set and unset. With just returning on set more code is required to handle the same functionality. hrmph.
cnx-software.comMar 11

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

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/11/texas-instruments-mspm0g5187-and-am13ex-mcus-integrate-tinyengine-npu-for-edge-ai-applications/

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
cnx-software.comMar 10

NXP i.MX 93W wireless MPU SiP pairs dual-core Arm Cortex-A55 processor with NXP iW610 WiFi 6, Bluetooth LE, and 805.15.4 radio

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/10/nxp-i-mx-93w-wireless-mpu-sip-pairs-dual-core-arm-cortex-a55-processor-with-nxp-iw610-wifi-6-bluetooth-le-and-805-15-4-radio/

NXP i.MX 93W wireless MPU SiP pairs dual-core Arm Cortex-A55 processor with NXP iW610 WiFi 6, Bluetooth LE, and 805.15.4 radio

NXP i.MX 93W is the company's first integrated wireless MPU System-in-Package (SiP) and combines a dual-core Cortex-A55 processor (NXP i.MX 93) with an iW610 WiFi 6, Bluetooth LE, and 802.15.4 tri-radio into a single chip. The 14.2 x 12 mm package also includes all the external radio components needed for wireless connectivity, replacing up to 60 discrete components on the PCB. NXP says it reduces the PCB area, simplifies PCB design and regulatory approval, and speeds up time-to-market. NXP i.MX 93W specifications: CPU Dual-Core Arm Cortex-A55 at up to 1.7 GHz Arm Cortex-M33 core at 250 MHz for real-time control GPU - 2D graphics accelerator AI accelerator - Arm Ethos-U65 microNPU Memory I/F - Up to 3.7GT/s 16-bit LPDDR4/LPDDR4X with inline ECC Storage I/F - 2x SD 3.0/SDIO 3.0/eMMC 5.1 Display Interfaces MIPI DSI up to 1080p60 LVDS up to 720p60 24-bit parallel RGB Camera Interface - 2-lane MIPI CSI up

CNX Software - Embedded Systems News
LinuxGizmos.comMar 8

F&S FSSM8MP SMARC Module Features NXP i.MX 8M Plus with Dual GbE and Edge AI

https://fed.brid.gy/r/https://linuxgizmos.com/fs-fssm8mp-smarc-module-features-nxp-i-mx-8m-plus-with-dual-gbe-and-edge-ai/

Linux EasyMar 7

FRANK OS 1.0 porta l’esperienza dei desktop anni ’90 nel mondo dei microcontroller con finestre sovrapponibili, applicazioni integrate e un’interfaccia che richiama Windows 95. #FRANKOS #FreeRTOS #RP2350 #Microcontroller

https://www.linuxeasy.org/frankos-microcontroller-linux-windows-95/?utm_source=mastodon&utm_medium=jetpack_social

FRANK OS 1.0 porta un desktop completo su un microcontroller

Un microcontroller che sembra un PC anni ’90? Con FRANK OS 1.0 succede davvero: un sistema operativo grafico completo, ispirato a Windows 95

Linux Easy
cnx-software.comMar 3

Qualcomm Snapdragon Wear Elite wearable platform offers 5G RedCap, WiFi 6, Bluetooth 6.0, built-in AI accelerator

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/03/qualcomm-snapdragon-wear-elite-wearable-platform-offers-5g-redcap-wifi-6-bluetooth-6-0-built-in-ai-accelerator/

Qualcomm Snapdragon Wear Elite wearable platform offers 5G RedCap, WiFi 6, Bluetooth 6.0, built-in AI accelerator

Qualcomm Snapdragon Wear Elite is described as the "world’s first Personal AI wearable platform", and features an NPU for on-device AI delivering up to 12 TOPS of performance at low power, supporting 2B parameter models. It delivers up to 5x single-core CPU improvement and up to 7x faster GPU compared to the previous-generation Snapdragon W5+ Gen 2 Wearable Platform while offering up to 30% more battery life for multi-day battery life, thanks to a 3nm architecture. The new Snapdragon Wear Elite platform also supports fast charging with up to 50% charge in under 10 minutes. Snapdragon Wear Elite specifications: CPU - Up to 2.1 GHz GPU Qualcomm Adreno 3D GPU supporting OpenGL ES 3.2, Vulkan 1.2, and OpenCL 2.0 APIs 2.5D GPU co-processor clocked at up to 500 MHz ISP - Qualcomm Spectra AI accelerator - Qualcomm Hexagon NPU; up to 12 TOPS of AI performance; support for up tp 2B

CNX Software - Embedded Systems News
HabrFeb 6

STM32 + FREERTOS + SDIO + FATFS

Подключение SD-карты к микроконтроллеру — классическая задача, но путь от инициализации аппаратного интерфейса до работы с файлами в многозадачной среде усыпан скрытыми камнями. В этой статье я на практике разберу полный цикл интеграции SDIO, файловой системы FatFs и ОСРВ FreeRTOS на STM32.

https://habr.com/ru/articles/993760/

#stm32 #cubeide #freertos #fatfs #sdio

STM32 + FREERTOS + SDIO + FATFS

Доброго времени суток! Данная статья будет посвящена управлению micro sd с помощью sdio + fatfs под freertos. я использую микроконтроллер семейства STM32, в частности STM32F407VGT6, купленный на али,...

Хабр