Qualcomm and Arduino unleash VENTUNO Q that lets AI move offline ...

At embedded world, on the DigiKey booth, Lucy Barnard speaks with Marta Barbero at Arduino, about the new Arduino product announcement.

The development board runs AI on the device using two processors. It supports voice, vision, and robot control. Find out more!

Who among us does not have a plethora of mains-powered devices on their workbench, and a consequent mess of power strips to run them all? [Jeroen Brinkman] made his more controllable with a ...

With VENTUNO Q, AI can finally move from the cloud into the physical world. This platform makes it possible to build machines that perceive, decide, and act — all on a single ...

Named after the Italian word for twenty-one​, VENTUNO Q builds on the iconic legacy of the popular Arduino® UNO™ family and embodies the company’s coming of age as it prepares to celebrate its ...

In this video I'll be showing you how you can control the contrast and the back light brightness of a 1602 LCD display with just the Arduino. The contrast is typically adjusted with a variable ...

VENTUNO Q eliminates multi-device complexity because it delivers synchronized perception, decision, and action on a single board. The main processor runs Ubuntu and Linux Debian with upstream support, ...

Qualcomm’s Arduino has announced the upcoming launch of Arduino VENTUNO Q, a platform designed for edge AI, robotics, and actuation. The board is powered by the Dragonwing IQ8 Series, providing ...

Abstract: This paper proposes an automatic framework for controlled data flow graph (CDFG) generation from verilog designs, where the generated CDFGs can be applied to visualization, formal ...

Arduino and Qualcomm Technologies, Inc. have announced the launch of Hackster's first global developer contest of 2026, inviting engineers, makers, and innovators worldwide to build groundbreaking ...

Abstract: Aiming at the problem of unstable feeding of the feeder in the tobacco silk production line, a new type of stable feeding intelligent control system was developed based on Python technology.