A webinar date for your diary, if you are keeping up with the latest Arduino microcontroller development board: “From board to build: Using UNO Q and App Lab”. The DigiKey webinar, which is sponsored ...

The original version of the UNO Q paired Qualcomm’s Dragonwing QRB2210 processor with 2GB of RAM and 16GB of storage. A little over three months after it was announced alongside Qualcomm’s acquisition ...

What if you could combine the simplicity of Arduino with the power of a Linux-based processor, all in one compact device? Enter the Arduino Uno Q, a new development board designed to handle everything ...

Discover unparalleled functionality with Arduino UNO Q, the perfect dual-brain platform by Arduino, now available on Mouser Electronics. Harness the power of real-time control paired with ...

The Arduino UNO Q is more than just the next generation of the flexible UNO platform; it’s a new development paradigm. The dual-brain UNO Q pairs a Qualcomm Dragonwing QRB2210 microprocessor (MPU) ...

Arduino is being acquired by Qualcomm subject to regulatory approval for an undisclosed sum. Qualcomm Arduino introduces a new UNO form factor board, the Arduino UNO Q, which features both a STM32 MCU ...

Arduino has announced a Linux-capable version of its Uno, called Uno Q and based on a pair of processors: the quad 2GHz Arm Cortex-A53 QRB2210 from Qualcomm for the operating system and the 160MHz ...

Today Qualcomm has announced that it's buying Arduino, which will remain an independent brand that will continue to support "a large range of microcontrollers and microprocessors from multiple ...

Qualcomm has just signed an agreement to acquire Arduino, and the goal of the purchase is to “combine Qualcomm’s leading-edge products and technologies with Arduino’s vast ecosystem and community to ...

THIEF RIVER FALLS, Minnesota, Oct. 7 2025 – DigiKey, a leading global electronic components and automation products distributor, announces the just-released Arduino UNO Q is available for preorder ...

In this tutorial, we’ll build on the foundation laid in the “Arduino-Based Solar Power System Using Python & Machine Learning, Part 1” project by exploring how to intelligently select and use machine ...