Eoxys Xeno+ Nano ML board
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Eoxys Xeno+ Nano ML board combines NuMicro M2354 or STM32L4 MCU with Talaria TWO ultra low power WiFi & BLE 5.0 module

Eoxys Xeno+ Nano ML is a wireless machine learning (ML) board with either Nuvoton NuMicro M2354 or STMicro STM32L4 microcontroller, InnoPhase IoT’s Talaria TWO ultra-low power Wi-Fi and BLE 5.0 module, and the Syntiant Core 2 NDP120 neural decision processor we first noticed in the Arduino Nicla Voice module a few weeks ago. The boards/modules are designed for intelligent and secure IoT devices for smart home, industrial, and medical automation applications, and the company claims it can be used in Wi-Fi IoT sensors with up to 10+ years thanks to the low-power chips and circuitry used in the design. Eoxys Xeno+ Nano ML specifications: General purpose MCU (one or the other) STMicro STM32L4 Arm Cortex-M4 microcontroller at 80MHz with 1MB flash, 128KB/352KB SRAM Nuvoton NuMicro M2354 Arm Cortex-M23 microcontroller at 96MHz with 1MB flash, 128KB SRAM. Wireless module Innophase Talaria TWO ultra-low-power 2.4GHz 802.11b/n/g WiFi 4 and Bluetooth LE 5.0 […]

Wi-R vs Bluetooth
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The Wi-R protocol relies on body for data communication, consumes up to 100x less than Bluetooth

The Wi-R protocol is a non-radiative near-field communication technology that uses Electro-Quasistatic (EQS) fields for communication enabling the body to be used as a conductor and that consumes up to 100x less energy per bit compared to Bluetooth. In a sense, Wi-R combines wireless and wired communication. Wi-R itself only has a wireless range of 5 to 10cm, but since it also uses the body to which the Wi-R device is attached, the range on the conductor is up to 5 meters. While traditional wireless solutions like Bluetooth create a 5 to 10-meter field around a person, the Wi-R protocol creates a body area network (BAN) that could be used to connect a smartphone to a pacemaker, smartwatch, and/or headphones with higher security/privacy and longer battery life.   One of the first Wi-R chips is Ixana YR11 with up to 1Mbps data rate, and they are working on a YR21 […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM
ESP32 MPY-Jama
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ESP32 MPY-Jama is a MicroPython IDE for ESP32 boards

ESP32 MPY-Jama is a cross-platform MicroPython IDE specifically designed for ESP32 boards with a file manager, a  REPL terminal, real-time dashboards, and various ESP32-specific features. The IDE is an open-source Python program using pyWebView and pySerial plus some JavaScript for the user interface, and the developer of the program, Jean-Christophe Bos, provides binaries for Windows 64-bit and macOS 64-bit Arm or x86. It’s also possible to use it in Linux but needs to be built from source. Some of the key features of the ESP32 MPY-Jama IDE include: MicroPython code editor with syntax highlighting REPL interface Access to information dashboards with real-time data about WiFi and Bluetooth connections, system info with GPIO status, CPU frequency, memory and SPI flash details Easy 2-click methods to connect to WiFi and create an access point Graphical interface to install a new firmware through esptool Ability to create, import, and run “Jama Funcs” mini-applications […]

Coral Dev Board Micro
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Coral Dev Board Micro combines NXP i.MX RT1176 MCU with Edge TPU in Pi Zero form factor

Coral Dev Board Micro is the latest iteration of Google’s Edge AI devkit with an NXP i.MX RT1176 Cortex-M7/M4 crossover processor/microcontroller coupled with the company’s 4 TOPS Edge TPU, a camera, and a microphone in a board that’s about the size of a Raspberry Pi Zero SBC. The new board follows the original NXP i.MX 8M-based Coral Dev board that was introduced in 2019, and Coral Dev Board mini based on MediaTek MT8167S processor launched in 2020, and keeps with the trend of providing more compact solutions with lower-end host processors for edge AI. Coral Dev Board Micro specifications: MCU – NXP i.MX RT1176 processor with an Arm Cortex-M7 core @ up to 1 GHz, Cortex-M4 core up to 400 MHz, 2MB internal SRAM, 2D graphics accelerators; System Memory – 512 Mbit (64 MB) RAM Storage – 1 Gbit (128 MB) flash memory ML accelerator – Coral Edge TPU coprocessor […]

nRF7002-DK development kit
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Nordic Semi nRF7002 DK low-power dual-band WiFi 6 IoT development kit launched for $56 and up

Nordic Semi nRF7002 DK is an IoT development kit based on the nRF5340 dual-core Cortex-M33 multi-protocol wireless SoC and nRF7002 companion chip adding low-power dual-band (2.4GHz and 5.0 GHz) WiFi 6 connectivity. When Nordic Semi introduced the nRF7200 dual-band WiFi 6 companion chip for nRF52840 and nRF5340 wireless SoCs and nRF9160 cellular IoT SiP last summer, the “nRF7002-PDK” development kit was only mentioned in passing with a 3D render and not much else. The company has now announced the availability of the nRF7002 DK to help developers create low-power Wi-Fi 6 IoT applications. nRF7002 DK specifications: Wireless MCU – Nordic Semi nRF5340 dual-core Arm Cortex-M33 microcontroller @ 128/64 MHz with 1 MB Flash + 512 KB RAM for the application core and 256 KB Flash + 64 KB RAM for the network core, Bluetooth 5.1 LE with direction-finding support, Bluetooth mesh, NFC, Thread, Zigbee, 802.15.4, ANT, and 2.4 GHz proprietary […]

Samsung Exynos 850 SBC
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WinLink E850-96Board SBC is powered by Samsung Exynos 850 Octa-core Cortex-A55 SoC

WinLink E850-96Board is a 96Boards CE Extended-compliant single board computer (SBC) based on a Samsung Exynos 850 octa-core Cortex-A55 processor plus 64GB flash and 4GB RAM found in a single eMCP (embedded Multi-Chip Package) chip. While the Samsung Exynos 5422 based ODROID-XU4/XU4Q was one of the most popular SBCs when it launched in 2015 thanks to its features set and affordable pricing, we haven’t really seen other interesting Samsung Exynos SBCs in recent years. I did notice a WinLink E850-96Board based on Exynos 850 in the Linux 5.17 release last March, but there was not enough information then. The good news is that the board has now launched so let’s have a closer look. WinLink E850-96Board “All-in” board specifications: SoC – Samsung Exynos 850 CPU – Octa-core Arm Cortex-A55 processor @ up to 2.0GHz GPU – Arm Mali-G52 MP1 GPU supporting OpenGL ES1.1/2.0/3.2, OpenCL 2.0 Full Profile, and Vulkan 1.0/1.1 […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025
Congatec conga HPC/cRLS COM HPC Client Size C Raptor Lake CPU
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conga-HPC/cRLS Raptor Lake COM-HPC Client module supports up to 128GB DDR5 RAM

Congatec conga-HPC/cRLS is a COM-HPC Client Size C computer-on-module based on a 13th gen Intel Raptor Lake processor with support for up to 128GB DDR5 memory through four SO-DIMM sockets. The COM-HPC module also provides up to three DDI display interfaces, two 2.5GbE networking interfaces with TSN support, two SATA storage interfaces, and a range of PCIe Gen 3, 4, and 5 interfaces through the two 400-pin connectors defined in the COM-HPC standard. conga-HPC/cRLS specifications: Raptor Lake-S SoC (one or the other) Intel Core i3-13100E with 4x P-cores @ 3.3GHz / 4.4GHz, 12 MB cache, Intel UHD Graphics 730; PBP: 65W Intel Core i5-13400E with 6x P-cores @ 2.4GHz / 4.6GHz, 4x E-cores @ 1.5GHz / 3.3GHz, 20MB cache, Intel UHD Graphics 730; PBP: 65W Intel Core i7-13700E with 8x P-cores @ 1.9GHz / 5.1GHz, 8x E-cores @ 1.3GHz / 3.9GHz, 30MB cache, Intel UHD Graphics 770; PBP: 65W Intel […]

LilyGO T-QT Pro ESP32-S3 board
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LILYGO T-QT Pro 0.85-inch WiFi IoT display adds support for battery charging

LILYGO T-QT Pro is an ESP32-S3 WiFi and BLE IoT board with a 0.85-inch color display, 4MB flash, 2MB PSRAM, a USB-C port, a few GPIOs, and support for LiPo battery with charging. It is an upgrade to the ESP32-S3-based LILYGO T-QT V1.1 board that also supports LiPo battery power but lacks a charging circuit, so you had to remove the battery and charge it manually each time. The T-QT Pro adds a charging circuit and switches from an ESP32-S3 with an 8MB flash design to one using ESP32-S3FN4R2 with 4MB flash and 2MB PSRAM. LilyGO T-QT Pro specifications: Wireless MCU – Espressif Systems ESP32-S3FN4R2 dual-core Tensilica LX7 @ up to 240 MHz with vector instructions for AI acceleration, 512KB RAM, 4MB flash, 2MB PSRAM, wireless connectivity Connectivity via ESP32-S3 2.4 GHz 802.11 b/g/n Wi-Fi 4 with 40 MHz bandwidth support Bluetooth Low Energy (BLE) 5.0 connectivity with long-range support, […]

Boardcon LGA3576 Rockchip RK3576 System-on-Module designed for AI and IoT applications