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.

Performance varied significantly, with the MacBook Air M3 achieving the fastest speed (72 tokens/second), followed by the ...

Tom Fenton's benchmark data across the Pi 400, Pi 500, Pi 500+, and Pi 5 shows the Pi 500+ delivering the strongest all-around desktop performance with notable gains in CPU, graphics, and networking.

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.

Worth every penny.

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

The Raspberry Pi line of single-board computers can be hooked up with a wide range of compatible cameras. There are a number ...

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 ...

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

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