Mastodawn

Coin-cell powered Nordic nRF54L15 Tag prototyping platform supports Bluetooth Channel Sounding, Matter, Edge AI

https://fed.brid.gy/r/https://www.cnx-software.com/2026/06/23/nordic-nrf54l15-tag-prototyping-platform-supports-bluetooth-channel-sounding-matter-edge-ai/

Coin-cell powered Nordic nRF54L15 Tag prototyping platform supports Bluetooth Channel Sounding, Matter, Edge AI

Nordic Semiconductor has launched the nRF54L15 Tag, a tiny coin-cell-powered prototyping platform designed to accelerate the development of ultra-low-power wireless IoT devices, including asset trackers compatible with the Apple Find My and Google Find Hub ecosystems. Built around the company’s nRF54L15 wireless SoC, the 33 mm-diameter tag uses a 2.4 GHz radio and includes two on-board antennas to improve distance-measurement reliability with Bluetooth Channel Sounding. The platform also integrates a 6-axis IMU and an environmental sensor, which can be used in tracking, sensing, and basic edge processing applications. Nordic nRF54L15 Tag specifications: Wireless MCU – Nordic Semi nRF54L15 wireless SoC CPU Arm Cortex-M33 @ up to 128 MHz RISC-V coprocessor for “software-defined peripheral” Memory – 256 KB SRAM Storage – 1.5MB Non-volatile Memory (NVM) Wireless Bluetooth LE 6.0 (includes Channel Sounding) Thread, Zigbee (IEEE 802.15.4-2020) Matter Amazon Sidewalk Proprietary 2.4 GHz protocols with a new 4 Mbps mode NFC support Aliro (a

CNX Software - Embedded Systems News

cnx-software.com [Unofficial]5h ago

MYiR MAC-B5760 fanless Edge AI industrial PC features Rockchip RK3576 SoC, optional RK1828 LLM/VLM module

https://fed.brid.gy/r/https://www.cnx-software.com/2026/06/23/myir-mac-b5760-fanless-edge-ai-industrial-pc-offers-rockchip-rk3576-soc-optional-rk1828-llm-vlm-module/

MYiR MAC-B5760 fanless Edge AI industrial PC features Rockchip RK3576 SoC, optional RK1828 LLM/VLM module

MYiR MAC-B5760 is a fanless Edge AI industrial box PC powered by a Rockchip RK3576 SoC with a built-in 6 TOPs NPU, and equipped with 8GB LPDDR5 and 64GB flash by default. The embedded system offers two Gigabit Ethernet ports, four USB 3.0 ports, HDMI and mini DP video outputs, a 3.5mm audio jack, a USB-C port for convenient serial console access, an optional WiFi 6 and Bluetooth 5.4 module, and expansion capability through an M.2 socket for NVMe SSD or AI accelerator, and a mini PCIe socket to add 4G LTE/5G cellular connectivity. MYiR MAC-B5760 specifications: SoC – Rockchip RK3576 CPU 4x Cortex-A72 cores @ 2.2GHz, four Cortex-A53 cores @ 1.8GHz Arm Cortex-M0 MCU at 400MHz GPU – ARM Mali-G52 MC3 GPU with support for OpenGL ES 1.1, 2.0 and 3.2, OpenCL up to 2.0 and Vulkan 1.1 NPU – 6 TOPS (INT8) AI accelerator with support for INT4,

CNX Software - Embedded Systems News

Collabora 18h ago

Together with Toradex, we're helping bring Edge AI workloads closer to the hardware.

At Embedded World, Collabora's Guy Lunardi, VP Business Development, walks through our NPU enablement work on the TI AM69, powered by Toradex hardware and Torizon OS, showing how Edge AI can move from prototype to production: faster inference, scalable deployments, and hardware-level integration that just works.

See it in action 👇
🎥 https://www.toradex.com/videos/collabora-npu-enablement-edge-ai-ti-am69

#EmbeddedWorld #EdgeAI #NPU #EmbeddedLinux #Torizon

ArmSoM_Official 1d ago

#JetsonNano is going to EOL .
Looking for alternatives？
RK3588 AI Module7 (AIM7) 8+128GB version. Coming in August.
👉https://docs.armsom.org/armsom-aim7

#RK3588 #EdgeAI #machinelearning #iot

cnx-software.com [Unofficial]2d ago

SpacemiT K3 Pico-ITX RISC-V Chassis Kit Review – Part 2: What works, what doesn’t in Bianbu OS 4.0

https://fed.brid.gy/r/https://www.cnx-software.com/2026/06/21/spacemit-k3-pico-itx-risc-v-chassis-kit-review-part-2-what-works-what-doesnt-in-bianbu-os-4-0/

SpacemiT K3 Pico-ITX RISC-V Chassis Kit Review – Part 2: What works, what doesn’t in Bianbu OS 4.0

Last month, I received the SpacemiT K3 Pico-ITX Chassis Kit based on the company's K3 16-core RISC-V SoC, and started the review with an unboxing, a teardown, and a first boot to Bianbu OS 4.0. Since the system features a 10Gbps Ethernet SFP+ cage, I also had to order a 10GbE SFP+ to Copper adapter, as my 10GbE networking gear is exclusively based on RJ45 ports. In this review, I'll check system information in Bianbu OS 4.0.1, run a few benchmarks, test 10GbE, GbE, and WiFi 6 networking performance, play YouTube videos at various resolutions, run AI workloads (LLM), check all/most features work as expected, and measure the power consumption of the SpacemiT K3 "Pico-ITX Chassis Kit" mini PC. Bianbu OS 4.0 System Information Before running anything, I updated the system: 594 packages were updated. For reference, the update also involved updating the EC (Embedded Controller) firmware: Let's double-check the

CNX Software - Embedded Systems News

Alejandro Sepúlveda T.2d ago

🚀 La Arduino® UNO™ Q 4GB rompe el esquema tradicional de las placas de desarrollo al meter 4GB de RAM y un procesador capaz de correr Linux completo en el clásico formato UNO.

Casos de uso: Ideal para Edge AI (inteligencia artificial en el borde), servidores IoT compactos, visión computacional local o nodos avanzados de automatización que requieren bases de datos en tiempo real. 🧠🤖

#Arduino #ArduinoUNOQ #IoT #EdgeAI #Embedded #Maker

Arint - SEO+KI 3d ago

RT @datavorous_: Ich habe den NPU-Compiler von Qualcomm reverse-engineered, um undokumentiertes Verhalten zu finden, das jede Edge-AI-Implementierung betrifft.

mehr auf Arint.info

#AIHardware #EdgeAI #MachineLearning #NPU #Qualcomm #ReverseEngineering #arint_info

https://x.com/datavorous_/status/2067961873195229671#m

Arint - SEO+KI (@[email protected])

RT @datavorous_: Ich habe den NPU-Compiler von Qualcomm reverse-engineered, um undokumentiertes Verhalten zu finden, das jede Edge-AI-Implementierung betrifft. <a href="https://arint.info/@Arint/116777619020721665">mehr</a> auf <a href="https://arint.info/">Arint.info</a> #AIHardware #EdgeAI #MachineLearning #NPU #Qualcomm #ReverseEngineering #arint_info <a href="https://x.com/datavorous_/status/2067961873195229671#m">https://x.com/datavorous_/status/2067961873195229671#m</a>

Mastodon Glitch Edition

anknfriends 4d ago

Wirf einen Blick auf die Zukunft der KI: Edge-AI übernimmt mehr Verantwortung für Echtzeit-Anwendungen. #KIML #EdgeAI

cnx-software.com [Unofficial]4d ago

UP WCL – A credit card-sized Wildcat Lake SBC with up to 24GB LPDDR5, 256GB UFS

https://fed.brid.gy/r/https://www.cnx-software.com/2026/06/18/up-wcl-a-credit-card-sized-wildcat-lake-sbc-with-up-to-24gb-lpddr5-256gb-ufs/

UP WCL – A credit card-sized Wildcat Lake SBC with up to 24GB LPDDR5, 256GB UFS

AAEON's UP WCL is an upcoming credit card-sized single board computer (SBC) powered by an Intel Wildcat Lake processor up to the Core 7 350 hexa-core CPU paired with up to 24GB LPDDR5 and 256GB UFS storage. The board also features an HDMI 2.1 video output, a 2.5GbE RJ45 jack, an M.2 Key-E socket for optional WiFi and Bluetooth connectivity, three USB 3.2 ports, and a few wafers for I/O expansion. AAEON UP WCL specifications: Wildcat Lake SoC (one or the other) Intel Core 3 304 5-core CPU – 1x P-cores @ 1.5/4.3 GHz (Turbo) + 4x LPE-cores @ 1.4/3.3 GHz (Turbo) GPU – 1-core Intel Xe3 Graphics @ 2.3 GHz (9 TOPS) NPU – 15 TOPS Intel Core 5 320 6-core CPU – 2x P-cores @ 1.5/4.6 GHz (Turbo) + 4x LPE-cores @ 1.4/3.4 GHz (Turbo) GPU – 2-core Intel Xe3 Graphics @ 2.5 GHz (20 TOPS) NPU –

CNX Software - Embedded Systems News

cnx-software.com [Unofficial]6d ago

Amlogic A311Y3 octa-core Edge AI SoC features Cortex-A78/A55 cores, 8 TOPS NPU, LPDDR5 support

https://fed.brid.gy/r/https://www.cnx-software.com/2026/06/17/amlogic-a311y3-octa-core-edge-ai-soc-features-cortex-a78-a55-cores-8-tops-npu-lpddr5-support/

Amlogic A311Y3 octa-core Edge AI SoC features Cortex-A78/A55 cores, 8 TOPS NPU, LPDDR5 support

Amlogic has introduced the A311Y3 Edge AI SoC, which seems to be an upgrade over earlier designs such as the A311D and A311D2 used in boards like the Khadas VIM3 and Khadas VIM4. Although not listed on the official Amlogic website, documentation from vendors such as Shenzhen Tomato Technology indicates that the A311Y3 SoC is built around a 6nm process node and features a newer CPU architecture based on Arm Cortex-A78/A55 cores. The SoC integrates an NPU with up to 8 TOPS of compute performance and supports LPDDR5/LPDDR5X memory, which can be used in both processing and Edge AI, compared to earlier A311-series chips. Amlogic A311Y3 specifications CPU 2x Arm Cortex-A78 cores (64KB L1 I-cache, 64KB L1 D-cache, 256KB L2 cache) 6x Arm Cortex-A55 cores (32KB L1 I-cache, 32KB L1 D-cache, 128KB L2 cache) with a shared 2MB L3 cache Neon and Crypto extensions included Co-processors – RISC-V core for system control processing; Built-in

CNX Software - Embedded Systems News