The new family of AI models can run on a smartphone, a Raspberry Pi, or a data centre, and is free to use commercially.

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.

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.

Visual Studio Code 1.109 introduces enhancements for providing agents with more skills and context and managing multiple agent sessions in parallel. Microsoft has released Visual Studio Code 1.109, ...

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 ...

There’s an old saying that goes: when life gives you lemons, make lemonade. [lds133] must have heard that saying, because when life took the magic liquid out of his Magic 8 Ball, [lds133] ...

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

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...