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 and Arduino unveiled the Ventuno Q, a sub-$300 single-board computer with 40 TOPS AI power and dual-brain architecture for edge AI and robotics.
Arduino VENTUNO Q pairs Qualcomm AI compute with real-time control for robotics, vision, and industrial edge AI development.
Qualcomm, which purchased microcontroller board manufacturer Arduino last year, just announced a new computer that marries AI with robotics.
Qualcomm’s Arduino has announced the upcoming launch of Arduino VENTUNO Q, a platform designed for edge AI, robotics, and ...
If you want to access your Edge Panel tools, such as a compass, flashlight, or ruler, you will need to swipe left once more.
WiFi and Bluetooth LE can now be used simultaneously on Arduino boards with NINA-W102 (ESP32) module
Today I learned that WiFi and Bluetooth LE could NOT be used simultaneously on Arduino boards featuring the ESP32-based u-blox NINA-W102 wireless module, ...
Will Cogley on MSN
3D printed Arduino animatronic eye controller build
Here is the controller I designed for my 3D printed animatronic eye mechanisms. The main advantage it has over a traditional gaming controller is the ability to fine-tune a value (such as the openness ...
When most people hear "polymer," they think of plastics. In our group, polymerization is a way to line up identical molecules like beads on a string and let quantum mechanics take over. Put magnetic ...
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 ...
In recent years, integrated platforms equipped with microcontrollers (with Arduino probably being the best-known brand) have been gaining popularity.
The collaboration will help students learn by building real, intelligent devices that run AI locally, reducing reliance on the cloud and making the learning more practical for real-world use.
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