education News - CNX Software - Embedded Systems News

August 2, 2026August 2, 2026 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Play games with your brain signals using Octopus 16 wireless EEG device

Octopus 16 is a wireless biosignal HID device for the XIAO ESP32-S3 board designed to let users play computer games using brain signals (EEG) with no hands (or implants) needed. The board packs 16 electrodes to measure biosignals, including EEG (electroencephalography), EMG (electromyography), and ECG (electrocardiography), and the coin-sized device is much more compact than other brain-computer interface (BCI) solutions, which typically require a cap kit with 8 to 16 electrodes and wires. Octopus 16 specifications: ADC – 2x Texas Instruments ADS131M08 24-bit, 8-channel, simultaneous-sampling, delta-sigma (ΔΣ) analog-to-digital converters Channels – 16x 24-bit channels (8x per ADC) Programmable gain (PGA) – x1 to x128 (set in firmware; default gain register 0x2222) Input high-pass / DC block – Integrated ADC DC-block filter enabled (≈ >1 Hz) Host interface (to XIAO board) – Power + SPI via 2x 7-pin Brain interface 18x spring-loaded pogo pins 16x electrodes 1x reference (AINREF) 1x Ground […]

July 20, 2026 by Debashis Das - No Comments

Globalscale Case8 – A MediaTek Genio 520/720 cyberdeck for gaming, home automation, and education (Crowdfunding)

Case8 Platfrom with gaming, home automation, and education variants

Globalscale Technologies has launched the Case8 series of open-source cyberdeck-style computing platforms based on MediaTek Genio 520 and Genio 720 processors. The platform is offered in hacker (PCBA only), gaming, home automation, and education variants. The Case8 is built around an OSM-L compute module with a MediaTek Genio 520 or Genio 720 SoC with up to eight cores, a Mali-G67 GPU, and a 10 TOPS NPU. Depending on the configuration, it comes with 4GB, 8GB, or 16GB LPDDR5 memory and 64GB or 128GB UFS storage, along with Gigabit Ethernet, Wi-Fi 6, Bluetooth 5.4, stereo speakers, microphones, and optional 4G/5G connectivity. Display options include a 5-inch panel for the gaming model and 7-inch touch or non-touch displays for the home automation and education variants, with camera configurations varying by model. Case8 cyberdeck platform specifications: OSM-L compute module (one or the other) MediaTek Genio 520 CPU – 2x Cortex-A78 up to 2.2GHz, 6x […]

April 21, 2026April 21, 2026 by Jean-Luc Aufranc (CNXSoft) - No Comments

UGV Beast – An off-road tracked AI robot built for Raspberry Pi 4/5

Waveshare UGV Beast is an off-road robot with tracked wheels designed for Raspberry Pi 4 or 5 SBC handling AI vision and strategy planning, while an ESP32 sub-controller takes care of motion control and sensor data processing. If the design feels familiar, it’s because it’s a variant of the UGV Rover unmanned ground vehicle we covered in 2024, which replaces the six wheels of the original model with two continuous tracks, as found in military tanks, for better driving in difficult terrain. Waveshare UGV Beast specifications: Supported SBCs – Raspberry Pi 4B or Raspberry Pi 5 Multi-function driver board/sub-controller Main SoC – ESP32 wireless microcontroller with WiFi, Bluetooth, ESPNOW connectivity Motor drivers – 2x TB6612FNG chips Peripheral interfaces 4x motor control connectors 2x servo connectors Lidar USB (4-pin) and UART (USB-C) connectors 2x 4-pin I2C connectors Sensor – 9-axis attitude sensor (ICM20948) for image stabilization Misc – EN and user […]

April 7, 2026April 7, 2026 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

NASA Artemis Watch 2.0 – An ESP32-S3-powered, NASA-inspired wearable kit for education

CircuitMess NASA Artemis Watch 2.0 is a programmable, NASA-themed smartwatch based on an ESP32-S3 WiFi and Bluetooth module and a 1.14-inch monochrome display. The watch also features an accelerometer, a gyroscope, a buzzer, an RTC, a button, several LEDs, and a USB port for programming and charging the built-in 600 mAh battery. NASA Artemis Watch 2.0 specifications: Core module – ESP32-S3-MINI-1-N4R2 SoC – ESP32-S3 dual-core Xtensa LX7 processor with WiFi 4 and Bluetooth 5.0 connectivity Memory – 2MB PSRAM Storage – 4MB QSPI flash PCB antenna Display – Built-in 1.44-inch display USB – 1x USB Type-C port for charging and programming Sensors 6-axis LSM6DS3TR accelerometer and gyroscope Temperature sensor (TBC) Misc Lever button 6x user LEDs, 1x power LED, 1x RGB LED Buzzer RTC + backup battery Power Supply 5V via USB-C port 600 mAh LiPo battery, good for 2 to 3 hours on a charge Dimensions and Weight – […]

April 4, 2026April 4, 2026 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Velxio is an open-source, self-hosted Arduino, Raspberry Pi, and ESP32 simulator

Velxio is an open-source, self-hosted simulator for Arduino, ESP32, and Raspberry Pi boards that works directly in your web browser. You can drag-and-drop boards, connect components and modules, write and run code in Arduino or Python, and access the serial console, all without hardware. If it looks similar to what the Wokwi simulator has to offer, it’s because Velxio was inspired by it and even integrates the AVR8 CPU emulator, RP2040 emulator, and QEMU fork for ESP32 Xtensa emulation from the Wokwi project. But the key difference is that Velxio can be self-hosted, although there’s also an online demo. Velxio currently supports 19 targets across five architectures AVR8 (ATmega / ATtiny) Arm Cortex-M0+ (Raspberry Pi RP2040) RISC-V RV32IMC/EC (ESP32-C3 / CH32V003) Xtensa LX6/LX7 (ESP32 / ESP32-S3 via QEMU) Arm Cortex-A53 (Raspberry Pi 3 Linux via QEMU) The project also offers 48 components. The developer mentions that additional features compared to […]

March 24, 2026March 24, 2026 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Hugging Face’s Reachy Mini is an open-source AI robot for your computer or Raspberry Pi CM4

Better known for its artificial intelligence software solutions, Hugging Face unveiled the Reachy Mini open-source desktop robot last year. It is designed to deploy AI applications that interface with the physical world. The robot features a camera, four microphones, and a speaker, and can move its 6 DoF (degrees of freedom) head, rotate its body, or wave its antennas thanks to nine servo motors. Two versions are available: the Reachy Mini Lite designed for computers running Mac, Linux, and Windows, and the Reachy Mini Wireless autonomous robot, powered by a Raspberry Pi CM4, adding WiFi and Bluetooth connectivity, an accelerometer, and battery support. Both models share most of the same specifications: Reachy Mini’s SDK can be found on GitHub. It’s based on Python, but also supports JavaScript and Web apps, and can integrate with LLMs to easily build apps and publish them to Hugging Face. The SDK also features several […]

March 12, 2026 by Debashis Das - 8 Comments

MediaTek unveils 50 TOPS Genio Pro 5100 Cortex-X925/X4/A720 SoC, 7.2 TOPS Genio 420 Cortex-A78/A55 SoC for AIoT applications

MediaTek Genio Pro 5100 and Genio 420 IoT SoCs

After launching the Genio 360/360P hexa/octa-core SoCs last month, MediaTek has now expanded the lineup with the Genio Pro 5100 and Genio 420 AIoT SoCs at Embedded World 2026. The Genio Pro 5100 is a 3nm SoC with an “all big-core” architecture and a 50+ TOPS NPU for Edge AI applications. The Genio 420, on the other hand, is a cost-efficient 6nm platform designed for smart home, retail, and industrial IoT devices. MediaTek Genio Pro 5100 The Genio Pro 5100 integrates one Cortex-X925, three Cortex-X4, and four Cortex-A720 cores, as well as an Arm Immortalis-G925 GPU, and supports LPDDR5X memory up to 8533 Mbps. It can handle up to three 4K displays, up to 16 cameras via virtual channels, and 8K30 video encode/decode, and offers interfaces such as PCIe Gen4, USB 3.2 Gen2, USB 2.0, and dual 2.5GbE MAC. Genio Pro 5100 (MT8894) specifications: CPU – 8-core Arm v9.2 processor […]

February 26, 2026 by Debashis Das - 1 Comment

Arduino Matter Discovery Bundle educational kit combines Arduino Nano Matter with three Modulino modules

Arduino has just announced the Arduino Matter Discovery Bundle (AKX00081), an all-in-one development kit designed to help users learn, prototype, and build Matter-over-Thread smart home devices quickly. The kit is based on the Arduino Nano Matter development board and works with the Matter ecosystem, including compatible platforms such as Apple HomeKit, Google Home, Amazon Alexa, and Home Assistant. The bundle also includes a Nano Connector Carrier with Grove and Qwiic interfaces, a microSD slot, and various IO options. The kit features three Qwiic-based Modulino nodes, namely a Latch Relay, a Distance module for presence detection, and a Thermo module for temperature and humidity sensing. Arduino Matter Discovery Bundle specifications: Main board – Arduino Nano Matter MCU – SiLabs MGM240SD22VNA MCU core – 32-bit Arm Cortex-M33 with DSP (digital signal processing) instruction and FPU (floating-point unit) @ 78 MHz Storage/Memory – 1536 KB flash program memory, 256 KB RAM data memory […]