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.

The internals – the parts that actually make it a working camera – will probably be familiar to anyone who’s kept up with the DIY camera scene. It’s powered by a Raspberry Pi Zero 2W, has a 2” LCD ...

Once the premium option for data transfers and remote control for high-end audiovisual and other devices, FireWire (IEEE 1394) has been dying a slow death ever since Apple and Sony switched over ...

Better known for its artificial intelligence software solutions, Hugging Face unveiled the Reachy Mini open-source desktop ...

QR codes are widely used in entry and exit systems for various events to monitor the number of participants and ensure that ...

PycoClaw is a MicroPython-based platform for running AI agents on ESP32 and other microcontrollers that brings OpenClaw ...

Sure, we may have constant access to AI chatbots on our smartphones, sitting accessibly in our pockets, lessening the need for a dedicated portable device. But what if I told you that rather than ...

If you are like us, you love data, especially when it is presented in an orderly and appealing manner – think elegant charts and graphs. Data imagery is so popular that there is even a subreddit ...

Playing on your PC or Steam Deck might sound like the most natural and efficient way to enjoy the best Steam games. But if you happen to have a Raspberry Pi lying around, you might wonder whether it ...

Recently, we wrote a detailed tutorial on how to build your own AI chatbot with ChatGPT API. And for that project, we used Python and Pip to run several essential libraries. So if you are also getting ...