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 ...

Yes, it has a social life.

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

Precision in human-robot interaction depends on the ability to recognise and track human faces along with detailed facial landmarks. This capability underpins ...

Start the spring with an organizational project.

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

Google dropped Gemma 4 on April 2, 2026, and it's a game-changer for anyone building AI. These open models pull smarts straight from Gemini 3, Google's top ...

PCWorld explores how AI’s rise makes open-source software essential for security, as closed-source code can hide malicious ...

You might already be wondering about the AI models you use. But you likely aren’t thinking about it the right way.

Google has launched Gemma 4, four open-weight models from E2B edge to 31B Dense, built from Gemini 3 research, released under ...

Like past versions of its open-weight models, Google has designed Gemma 4 to be usable on local machines. That can mean ...