This first article in a series explains the core AI concepts behind running LLM and RAG workloads on a Raspberry Pi, including why local AI is useful and what tradeoffs to expect.

NOOBS is the built-in operating system installer for Raspberry Pi. But if you already know which operating system you want to ...

An earlier version of this automatic gateman system, built around a camera-based design, was published on the Electronics For ...

Precision in human-robot interaction depends on the ability to recognise and track human faces along with detailed facial ...

Your Pi is way more capable then you think it is.

DietPi earned a special spot in my SBC journey a while back. It's wildly different from a traditional SBC distro and tries to take complexity out of the equation. I always praise its Whiptail menus, ...

Google's DeepMind division has released its latest AI model, Gemma 4, under the open-source Apache 2.0 license, enabling ...

Microsoft is releasing today 3 new foundational MAI models via its Azure Foundry platform, while Google is launching new ...

The hardware was assembled by connecting the Arduino UNO R4 WiFi, the PZEM 004T, the current transformer, and the OLED ...

Google has launched Gemma 4 open models for Android and PCs, enabling on-device AI, offline capabilities, and future support ...

Built on the same architectural foundation as Gemini 3, the models are designed to handle complex reasoning tasks and support ...

Google’s Gemma 4 open models make a strong case for an open AI that can run locally, with an eye on competition from China ...