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

With zero coding skills, I was able to quickly assemble camera feeds from around the world into a single view. Here's how I did it, and why it's both promising and terrifying for all of us.

You can plug in your phone, download an emulator, or install the Google Play Store to access Android apps on your computer. Some tinkering may be required.

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

This important study combines real-time key point tracking with transdermal activation of sensory neurons as a general technique to explore how somatosensory stimulation impacts behavior in freely ...

Researchers at Apple have reportedly trained an AI model to learn and interpret human hand gestures using a zero-shot recognition method.

ChatGPT 5.4 Pro has achieved unprecedented results in rigorous performance evaluations, solidifying its position as the most advanced AI model to date. It surpasses competitors such as Gemini 3.1 and ...

Four-legged robots that scramble up stairs, stride over rubble, and stream inspection data — no preorder, no lab coat required.

In the new study, Apple taught an AI model to recognize hand gestures that weren’t part of its original training dataset.

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 ...

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, ...

Abstract: Recognition of hand gestures is an essential HCI technology that enables touch-free, intuitive communication with digital systems. Its applications cross several domains, such as ...