Fun projects can be fast too.

No Pi, no mini PC, no problem.

LLMs and RAG make it possible to build context-aware AI workflows even on small local systems. Running AI locally on a Raspberry Pi can improve privacy, offline access, and cost control. Performance, ...

I ignored Claude for months, and now I get the hype ...

The tech may have been around longer than you think, with Amazon's Kindle as its most famous application, but other cool ...

Got an ancient laptop or desktop lying around? Here's how to transform an old PC into an NAS, experiment with a new OS, build ...

Google's Gemma 4 model goes fully open-source and unlocks powerful local AI - even on phones ...

What I want to know is why Microsoft can't just detect exactly what files you need updated, download them all in one go, and ...

Waveshare’s new PocketTerm35 is a handheld computer with a 3.5 inch, 640 x 480 pixel touchscreen IPS display, a 67-key ...

The Raspberry Pi CM5 computer-on-a-module features support for single-lane PCIe 2.0 or PCIe 3.0 connections. Most of the existing carrier boards for the CM5 use that to give you an M.2 slot that ...

Benchmarking four compact LLMs on a Raspberry Pi 500+ shows that smaller models such as TinyLlama are far more practical for local edge workloads, while reasoning-focused models trade latency for ...

Waveshare UGV Beast is an off-road robot with tracked wheels designed for Raspberry Pi 4 or 5 SBC handling AI vision and ...