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From Home Assistant to AI agents: what Linux unlocks on the Arduino® UNO™ Q board

UNO Q was designed around a dual-brain architecture that is built to bring high-performance computing and real-time hardware control together on a single board.

How little does an AI agent need, and how cheap can it get?

A recent article revealed that OpenAI is purchasing tens of thousands of Mac minis and Mac Studios to give AI agents dedicated environments to run, make mistakes, and learn.

Making retail smarter: build context-aware experiences with the Arduino® VENTUNO™ Q board

You step into a fitting room carrying two jackets and a pair of trousers. You like each piece, but you are not sure they work together – and which jacket is better.

Bringing Edge AI Control to Robotics

Explore how edge AI SBCs combine local AI inference, deterministic control, and industrial I/O to enable responsive robotics and automation.

How to achieve cost-effective predictive maintenance with the Arduino® UNO™ Q board

Detect machine problems before they become failures. UNO Q enables compact predictive maintenance nodes that capture vibration data, run machine learning locally, and turn unusual behavior into actionable alerts for motors, pumps, fans, bearings, and more.

A smart solar panel system you can 3D print, build, and learn from – with the Arduino® UNO™ Q board

Discover solar energy through a hands-on, open-source smart solar panel system built with UNO Q and Arduino® Modulino™ nodes. Designed to optimize solar exposure in real time, the project lets you 3D print, assemble, and program your own system.

Building smarter AMRs with the Arduino® VENTUNO™ Q board

Physical AI is based on the idea that intelligence shouldn't stop at perception: instead, it should bring to life systems able to sense their environment, reason about it, and act on it – all in one continuous loop. It's what makes the difference between a device that observes and one that acts.

From voice command to robotic arm: how agentic AI on the edge is changing the factory floor

Industrial automation is becoming smarter and more accessible. Edge-ready foundation models are transforming natural language into machine control, reducing complexity and reshaping the factory floor into a more intuitive, conversational environment.

STM32 vs ESP32: Choosing the Right Microcontroller for Your Design

STM32 vs ESP32 compared on architecture, Wi-Fi, power, peripherals, toolchains, safety, and longevity. Current 2026 specs from vendor datasheets, plus a decision table.

Arduino® VENTUNO™ Q Board: Dual-Brain Edge AI SBC for Robotics and Physical AI

Explore the Arduino VENTUNO Q edge AI SBC: dual-brain architecture, up to 40 TOPS NPU, ROS 2 support, and Arduino App Lab for AI and robotics development.

Arduino Mega 2560 Pinout: A Complete Engineering Reference

Arduino Mega 2560 pinout guide: 54 digital pins, 16 analog inputs, 4 UARTs, the PWM timer map, ATmega2560 port mapping, and current limits.

ATmega328P: Pinout, Registers, Fuses, and Arduino Pin Mapping

Complete ATmega328P reference: PDIP and QFN/MLF pinout, port registers, fuse bytes, Arduino pin mapping, errata, and lifecycle status.

Running local LLMs on embedded systems: a practical guide

The Arduino® UNO™ Q board is designed to bring AI to the edge. Unlock its potential to access a huge variety of applications.

ZenCell: the one-board quality inspection solution

ZenCell by PriscoZen leverages the Arduino® UNO™ Q dual architecture to replace two boards with one.

The self-documenting workshop by Kevin McAleer

He built an AI agent that watches him work, and documents builds for him. Powered by the Arduino® UNO™ Q. In four hours.

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