C/C++ News - Page 5 of 17 - CNX Software

August 13, 2024August 19, 2024 by Sayantan Nandy - 3 Comments

SparkFun Pro Micro – RP2350 development board comes with 16MB flash, 8MB PSRAM

The SparkFun Pro Micro – RP2350 is a compact and powerful development board built around the RP2350 chip from Raspberry Pi and equipped with 16MB flash and 8MB PSRAM. It follows the updated Pro Micro design and includes a USB-C connector, Qwiic connector, WS2812B RGB LED, Boot and Reset buttons, resettable PTC fuse, and both PTH and castellated solder pads. Last week, besides the Raspberry Pi Pico 2, we wrote about more boards with the Raspberry Pi RP2350, like the XIAO RP2350, Solder Party’s RP2350 Stamp, and Cytron MOTION 2350 Pro. Feel free to check them out if you are interested in these boards. SparkFun Pro Micro – RP2350 specification Microcontroller – Raspberry Pi RP2350A MCU CPU Dual-core Arm Cortex-M33 @150MHz with Arm Trustzone for secure boot Dual-core 32-bit Hazard3 RISC-V @ 150MHz Up to two cores can be used at the same time Memory – 520 KB on-chip SRAM […]

August 12, 2024August 19, 2024 by Jean-Luc Aufranc (CNXSoft) - 15 Comments

Challenger+ RP2350 WiFi6/BLE5 board combines Raspberry Pi RP2350 MCU with ESP32-C6 WiFi 6 and Bluetooth 5.4 LE module

Raspberry Pi RP2350 board ESP32-C6 WiFi module

You don’t need to wait for the Raspberry Pi Pico 2 W to get a Raspberry Pi RP2350 board with WiFi and Bluetooth thanks to the Challenger+ RP2350 WiFi6/BLE5 board that combines an RP2350A microcontroller with an ESP32-C6 module offering 2.4 GHz WiFi 6 and Bluetooth 5.4 LE connectivity. The board follows the Adafruit Feather form factor with 28-pin through holes for I/Os making it compatible with FeatherWings add-on boards. It comes with a USB-C port for power and programming, and a JST connector plus a charging circuit for people wanting to connect a LiPo battery. Challenger+ RP2350 WiFi6/BLE5 specifications: Microcontroller – Raspberry Pi RP2350A MCU CPU Dual-core Arm Cortex-M33 processor @ 150MHz Dual-core 32-bit RISC-V processor @ 150MHz Only two cores can be used at a given time Memory – 520KB internal RAM 8KB OTP Storage Package – QFN-60; 7×7 mm Memory – 8MB PSRAM Storage – 8MB SPI […]

August 9, 2024August 19, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

XIAO RP2350 is a tiny USB-C board based on Raspberry Pi RP2350 MCU

The XIAO RP2350 is an upgrade to Seeed Studio’s XIAO RP2040 board with a more powerful Raspberry Pi RP2350 dual-core Cortex-M33 or dual-core RISC-V microcontroller found in the just-launched Raspberry Pi Pico 2 board. The new Raspberry Pi RP2350 USB-C board has the same form factor but adds eight more GPIOs on the bottom with pads for a total of 19 GPIOs, and we lose two LEDs for serial port connectivity. Most people will still be fine with the XIAO RP2040, but if you need a more powerful microcontroller, extra memory, a few extra GPIOs, and built-in security, then the XIAO RP2350 will be an improvement. XIAO RP2350 specifications: Microcontroller – Raspberry Pi RP2350 MCU CPU – Dual-core Arm Cortex-M33 processor @ 150MHz (Note: again RISC-V is not mentioned at all by Seeed Studio, like for the Cytron MOTION 2350 Pro board) Memory – 520KB internal RAM 8KB OTP Storage […]

August 8, 2024December 20, 2024 by Jean-Luc Aufranc (CNXSoft) - 18 Comments

$5 Raspberry Pi Pico 2 launched with Raspberry Pi RP2350 dual-core RISC-V or Arm Cortex-M33 microcontroller

The Raspberry Pi Pico 2 is an MCU development board based on the new Raspberry Pi RP2350 dual-core RISC-V or dual-core Cortex-M33 microcontroller with 520 KB on-chip SRAM, a 4MB flash, a micro USB port for power and programming and the same GPIO headers as the Raspberry Pi Pico board with an RP2040 dual-core Cortex-M0+ microcontroller with 264KB SRAM. The RP2350 embeds both an open-source Hazard3 RISC-V dual-core CPU and a dual-core Cortex-M33, but only one cluster can be used at a given time. Apart from the faster MCU cores and higher SRAM capacity, the RP2350 is about the same as the RP2040, albeit it also adds one extra PIO block bringing the total to three. One important new feature is built-in security when using Arm Cortex-M33 cores with Trustzone and other security features. Raspberry Pi RP2350 microcontroller Let’s have a closer look at the RP2350 microcontroller, before checking out […]

July 12, 2024July 12, 2024 by Tomisin Olujinmi - 8 Comments

$180 Zeal 8-bit Computer Complete Edition is an all-in-one retrocomputing platform based on the Zilog Z80 microprocessor

The Zeal 8-bit Computer Complete Edition is a system that aims to bring retrocomputing to the modern age with the aid of a motherboard built around the Zilog Z80 microprocessor and several peripherals. The Zeal 8-bit Computer project began in early 2021 and has been released in bits and pieces since then. Now, a finalized version tagged the “Complete Edition” is ready for release to the public. It promises a modern retrocomputing experience with the simplicity of retro computers and support for relatively recent features such as VGA graphics, TF cards, and NOR flash. The Zeal 8-bit Computer Complete Edition includes the following components: the Zeal 8-bit Computer motherboard, the Zeal 8-bit Video Board, and a 3D-printed enclosure with a touch sensor for turning the board on/off. The Zeal 8-bit Video Board is based on a Lattice ECP5 FPGA and can output up to 65,536 colors via VGA. It also […]

July 7, 2024July 9, 2024 by Tomisin Olujinmi - 10 Comments

SkyByte Mini Wi-Fi-controlled drone runs the open-source ESP32-Drone firmware (Crowdfunding)

The SkyByte Mini is a simple, miniature drone powered by the ESP32-WROOM-32 WiFi and Bluetooth module, and comprised of an MPU6050 inertial measurement unit, coreless motors, and plastic propellers. The Espressif ESP32-WROOM-32 module on the board provides a wireless connection that can be used to control the drone from a mobile app. The printed circuit board uses an “all-in-one” design that removes the need for 3D-printed parts and makes for a more compact final product. The drone’s functionality can be extended with external sensors to suit desired applications. It can be used for hobbyist and educational purposes. SkyByte Mini drone specifications: Wireless Module – ESP32-WROOM-32 module, dual-core Tensilica processor, with integrated Wi-Fi + Bluetooth 4.2 LE Motor control – 4x SI2302 N-Channel 20V MOSFET USB – USB-C port for power and programming Sensor – TDK Invensense MPU6050 IMU 3-axis gyroscope and 3-axis accelerometer Misc- 3x debugging LEDs, 1x power LED, […]

June 25, 2024June 25, 2024 by Debashis Das - 2 Comments

Olimex NEO6502 is a W65C02 and Raspberry Pi RP2040-powered retro computer with HDMI, USB, and more

Olimex has recently launched NEO6502 an open-source hardware retro computer designed for educational and entertainment purposes, but that doesn’t mean it can’t be used for retro gaming. The board is very unique as it’s built around a 65C02 MPU and Raspberry Pi Pico RP2040 MCU in a dual-processor configuration. The MOS6502 handles the Apple II, Oric, and Commodore 64 emulators whereas the RP2040 handles everything else including HDMI (DVI) video output using the PicoDVI project. Previously we have written about similar retro computer kits such as the CERBERUS 2100, TinyLlama x86, DevTerm with ClockworkPi v3.14, Olimex AgonLight2, and many others feel free to check those out if you are interested in retro tech with a modern twist. Olimex NEO6502 board specifications Processors Western Design Center W65C02S 8-bit microprocessor @ 6.25 MHz with 64kB RAM, 32kB Graphics RAM Raspberry Pi RP2040 dual-core Cortex-M0+ MCU @ 133 MHz with 264 KB SRAM Storage […]

May 29, 2024May 29, 2024 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

picoLLM is a cross-platform, on-device LLM inference engine

Large Language Models (LLMs) can run locally on mini PCs or single board computers like the Raspberry Pi 5 but with limited performance due to high memory usage and bandwidth requirements. That’s why Picovoice has developed the picoLLM Inference Engine cross-platform SDK optimized for running compressed large language models on systems running Linux (x86_64), macOS (arm64, x86_64), and Windows (x86_64), Raspberry Pi OS on Pi 5 and 4, Android and iOS mobile operating systems, as well as web browsers such as Chrome, Safari, Edge, and Firefox. Alireza Kenarsari, Picovoice CEO, told CNX Software that “picoLLM is a joint effort of Picovoice deep learning researchers who developed the X-bit quantization algorithm and engineers who built the cross-platform LLM inference engine to bring any LLM to any device and control back to enterprises”. The company says picoLLM delivers better accuracy than GPTQ when using Llama-3.8B MMLU (Massive Multitask Language Understanding) as a […]