cnx-software.com19h ago

Ohm Lab Neuro N6 – Modular STM32N6 AI Vision devkit supports rolling shutter, global shutter, or thermal camera (Crowdfunding)

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/23/ohm-lab-neuro-n6-modular-stm32n6-ai-vision-devkit-support-rolling-shutter-global-shutter-or-thermal-camera/

Ohm Lab Neuro N6 – Modular STM32N6 AI Vision devkit supports rolling shutter, global shutter, or thermal camera (Crowdfunding)

Ohm Lab Neuro N6 is a compact, modular, Arduino-compatible Edge AI/AI Vision development board powered by an STMicro STM32N6 Arm Cortex-M55 microcontroller with a 600 GOPS Neural-ART accelerator. The Adafruit Feather-sized board features 64MB PSRAM, 32MB flash, a built-in microphone, a 6-axis IMU and magnetometer, a USB-C port for power and programming, and takes power from USB-C (5V) or a LiPo battery. The bottom side of the board features 40-pin and 30-pin high-density connectors for expansion boards, adding a camera (rolling shutter, global shutter, or thermal), a microSD card slot, Ethernet, WiFi, a TFT display, and more. Neuro N6 specifications: MCU – STMicro STM32N6 MCU Core – 32-bit Arm Cortex-M55 CPU @ up to 800MHz with Arm Helium and Arm MVE GPU – Neo-Chrom 2.5D GPU, Chrom-ART Accelerator (DMA2D) NPU – ST Neural-ART accelerator @ 1 GHz, 600 GOPS BPU – Hardware-accelerated H.264 and JPEG encoders Memory – 4.2MB SRAM

CNX Software - Embedded Systems News
cnx-software.com2d ago

Radxa AICore DX-M1M M.2 2242 low-power AI module delivers 25 TOPS of edge AI performance for just 3W of power

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/21/radxa-aicore-dx-m1m-m-2-2242-low-power-ai-module-delivers-25-tops-of-edge-ai-performance-for-just-3w-of-power/

Radxa AICore DX-M1M M.2 2242 low-power AI module delivers 25 TOPS of edge AI performance for just 3W of power

Radxa AICore DX-M1M is a compact, low-power M.2 edge AI acceleration module built around the DeepX DX-M1M neural processing unit (NPU) and delivers up to 25 TOPS (INT8) of AI performance while consuming only 3W of power. Designed for industrial robot arms, autonomous mobile robots (ARM), edge servers, drones, and AIoT devices, the module delivers high-performance AI and ML capabilities without blowing the power budget. It relies on a PCIe Gen3 x2 interface and works with both x86 and Arm systems, including the Raspberry Pi 5 and Radxa ROCK SBCs. AICore DX-M1M specifications: AI Accelerator – DeepX DX-M1M neural processing unit (NPU) with up to 25 TOPS AI System Memory – 1GB LPDDR4X @ 4266 MT/s (on-chip, supports up to 8GB according to DeepX) Storage – 1Gbit QSPI NAND / NOR flash Host Interface - PCIe Gen 3.0 x4 (supports Gen 1/2/3 and x1/x2) via M.2 M + B Key connector

CNX Software - Embedded Systems News
cnx-software.com6d ago

Mini review of the ThinkNode M6 “outdoor solar power for Meshtastic”

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/17/review-thinknode-m6-outdoor-solar-power-for-meshtastic/

Mini review of the ThinkNode M6 “outdoor solar power for Meshtastic”

Elecrow has sent us a solar-powered ThinkNode M6 Meshtastic device for review. Last year, I reviewed the ThinkNode M1 and M2 Meshtastic nodes, and I was a bit disappointed by the point-to-point range in a suburban environment, where I got about 550 meters of range after switching to LONG SLOW mode. Nine months have passed since that review, and there still doesn't seem to be any Meshtastic community in the second-largest city in Thailand, probably because typical Meshtastic terminals are more expensive than entry-level Android smartphones, have limited functionality, and the mobile app is still a mess despite a revamp. Nevertheless, when Elecrow asked me whether I wanted to test the "ThinkNode M6 outdoor solar power for Meshtastic", I thought it might be fun. The main purpose of this mini review is to check the range I get using the M6 as a router between the M1 and M2 nodes.

CNX Software - Embedded Systems News
ResearchBuzz: Firehose6d ago

How-To Geek: This tiny radio lets me send texts without Wi-Fi or cell service . “Reading about community resilience recently, I came across talk of something called Meshtastic and how it lets you stay in touch with people miles away even if your internet access and the power grid itself were shut off.”

https://rbfirehose.com/2026/03/17/how-to-geek-this-tiny-radio-lets-me-send-texts-without-wi-fi-or-cell-service/
How-To Geek: This tiny radio lets me send texts without Wi-Fi or cell service

How-To Geek: This tiny radio lets me send texts without Wi-Fi or cell service . “Reading about community resilience recently, I came across talk of something called Meshtastic and how it lets…

ResearchBuzz: Firehose
Kpop News Hub6d ago
Watch: Kim Jae Won Is A Homebody Who Gets By In Low-Power Mode Outside The Home In "Yumi's Cells 3" Teaser #Cells #home #Homebody #Jae #Kim #LowPower #Mode #Teaser #Watch #Won #Yumis
https://kpopnewshub.com/watch-kim-jae-won-is-a-homebody-who-gets-by-in-low-power-mode-outside-the-home-in-yumis-cells-3-teaser/?fsp_sid=20292
Watch: Kim Jae Won Is A Homebody Who Gets By In Low-Power Mode Outside The Home In "Yumi's Cells 3" Teaser - KpopNewsHub – Latest K-Pop News, Idols & Korean Entertainment

TVING’s upcoming drama “Yumi’s Cells 3” has unveiled a new teaser focused on Kim Jae Won’s character!

Kpop News Hub
Ajit AnanthadevanMar 11

When it comes to #IoT protocols there are two main options: #BLE vs #openthread.

While openthread is mainly focused in industrial applications, BLE has massive commercial appeal. Because of this BLE is a rapidly progressing tech comparatively, and superior in terms of speed and reliability.

While BLE goes to 2 Mbit/s, openthread delivers 250kbps. Considering IoT applications are #lowpower nodes, this high throughput helps quick transmissions and save power.

On the other hand, openthread boasts native #ipv6 access, only requiring a "border router".

And as it needs a openthread border router device anyway - IMO we might as well write and put a relay app in it, taking away openthread's advantage...

cnx-software.comMar 9

Nordic Semi unveils nRF54LS05A and nRF54LS05B entry-level, ultra-low-power Bluetooth LE SoCs

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/09/nordic-semi-nrf54ls05a-nrf54ls05b-entry-level-ultra-low-power-bluetooth-le-socs/

Nordic Semi unveils nRF54LS05A and nRF54LS05B entry-level, ultra-low-power Bluetooth LE SoCs

Nordic Semiconductor's nRF54LS05A and nRF54LS05B are entry-level, ultra-low-power Bluetooth Low Energy (LE) Arm Cortex-M33 microcontrollers designed to be used as the main wireless SoC in simple applications such as sensors, tags, beacons, remotes, and PC peripherals, or operate as a Bluetooth LE companion device in more advanced products. Both SoCs are clocked at 128 MHz, feature Nordic’s 4th-generation Bluetooth LE radio, analog/digital interfaces, and advanced security. They also come with 0.5 MB of Non-Volatile Memory (NVM), and the only difference is that the nRF54LS05A is equipped with 64 KB of RAM, while the nRF54LS05B offers 96 KB. Nordic Semi nRF54LS05A/B specifications: CPU Arm Cortex-M33 core @ 128 MHz Performance - 250 CoreMark/mA @ 3V, 500 CoreMark Memory nRF54LS05A - 64 KB RAM nRF54LS05B - 96 KB RAM Storage - 508 KB NVM Wireless Bluetooth LE - 1 Mbps, 2 Mbps 2.4 GHz proprietary - GFSK: 4 Mbps, 2 Mbps, 1

CNX Software - Embedded Systems News
cnx-software.comMar 9

STMicro STM32C5 entry-level, 144 MHz Cortex-M33 MCU features up to 1MB flash, 256KB SRAM, Ethernet, CAN Bus

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/09/stmicro-stm32c5-entry-level-144-mhz-cortex-m33-mcu-features-up-to-1mb-flash-256kb-sram-ethernet-can-bus/

STMicro STM32C5 entry-level, 144 MHz Cortex-M33 MCU features up to 1MB flash, 256KB SRAM, Ethernet, CAN Bus

Not to be confused with the just-released STM32U3B5/C5 ultra-low-power MCUs, the entry-level STM32C5 Arm Cortex-M33 MCU family is designed for industrial sensors, smart home devices, electronic locks, thermostats, wearables, robotic actuators, and computer peripherals. The MCUs are manufactured using ST's 40 nm flash process, clocked at up to 144 MHz, and feature 128 KB to 1 MB of flash and up to 256 KB of SRAM, with a dynamic power consumption of <80 µA/MHz. Key features include Ethernet, USB, OctoSPI, CAN bus, DMA, and various peripherals, including ADCs, comparators, and an op-amp. Security is also enhanced, with the series targeting SESIP3 and PSA Certified Level 3 through features such as side-channel attack-resistant crypto, Hardware Unique Keys (HUK), and a Coupling and Chaining Bridge (CCB) for secure key storage. STM32C5 key features and specifications: MCU core Arm Cortex-M33 32-bit CPU @ 144 MHz with single-precision FPU, DSP instructions, and MPU Up

CNX Software - Embedded Systems News
cnx-software.comMar 6

DFRobot launches low-power, low-cost Fermion: BMV080 air quality sensor module

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/06/dfrobot-low-power-low-cost-fermion-bmv080-air-quality-sensor-module/

DFRobot launches low-power, low-cost Fermion: BMV080 air quality sensor module

Just last year, we reported on the SparkFun Air Quality PM1/PM2.5/PM10 Sensor, based on the Bosch BMV080 fanless air-quality sensor and priced at around $65. DFRobot has now launched a low-cost alternative, the Fermion: BMV080, which provides the same fanless, laboratory-grade PM1, PM2.5, and PM10 sensing capabilities for just $29.90. The sensor uses laser-based light-scattering technology with fanless optical counting to detect particles as small as 0.5 μm. This avoids fan noise, dust buildup, and mechanical wear, which are common with fan-based PM sensors, and, on top of that, it has a service life of up to 10 years. It measures particulate concentrations in a 0–1000 μg/m³ range with 1 μg/m³ resolution and ±10 μg/m³ of accuracy. The sensor supports I2C and SPI interfaces, and consumes about 70 mA in continuous measurement mode with a 6 μA sleep current, making it suitable for battery-powered systems. DFRobot’s Fermion: BMV080 specifications: Sensor IC

CNX Software - Embedded Systems News
cnx-software.comMar 5

STM32U3B5/C5 ultra-low-power MCU features 640 KB RAM, 2 MB Flash, and HSP accelerator to run AI without batteries

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/06/stm32u3b5-c5-ultra-low-power-mcu-features-640-kb-ram-2-mb-flash-and-hsp-accelerator-to-run-ai-without-batteries/

STM32U3B5/C5 ultra-low-power MCU features 640 KB RAM, 2 MB Flash, and HSP accelerator to run AI without batteries

STMicroelectronics has added two members to the STM32U3 ultra-low-power Arm Cortex-M33 microcontroller family: the STM32U3B5 and STM32U3C5 MCUs get more resources with up to 640 KB SRAM and 2 MB flash, as well as an HSP (hardware signal processor) accelerator to run AI/ML workloads without batteries, just using energy harvesting. The new chips are still clocked at up to 96 MHz, benefit from a near-threshold design (down to 0.65 V), allowing a power consumption of just 117 Coremark/mW in active mode, and can operate up to 105°C ambient temperature. They come with one additional group of interfaces, bringing the total to four SPI and I2C, two I3C and CAN-FD, and five UARTs, as well as five more 16-bit timers, for a total of 10. The STM32U3C5 also includes a cryptocore to accelerate encryption and decryption operations, and supports the CCB (Coupling and Chaining Bridge) hardware security feature, both of which

CNX Software - Embedded Systems News