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.

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

We previously developed a time-lapse photography system based on the MaixCam platform, which performed remarkably well in ...

More coverage, less overhead.

The Zerowriter Ink offers no such distractions: it’s a simple word processor with a mechanical keyboard, an e-ink display and ...

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

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

But if you want something a little more versatile, you may want to consider plugging a full-fledged computer into your TV.

OpenClaw is a 24/7 AI assistant designed to support workflows, but its default settings can pose security challenges if not configured correctly. Kevin Stratvert and team explain how to set up ...

Suffering from spotty Wi-Fi in parts of your home? The right mesh network setup can help bring seamless connectivity to every corner. Here's how to optimize your internet connection. I’ve been working ...

Private local AI on the go is now practical with LMStudio, including secure device links via Tailscale and fast model ...