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

Gemma 4 brings open multimodal AI to phones, laptops, workstations and edge devices with strong reasoning, long context, ...

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

Developed by Google's DeepMind team, the fourth generation of Gemma models brings several improvements, including "advanced reasoning" to improve performance in math and instruction-following, support ...

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.

A quick hands-on proof of concept shows how Visual Studio's new custom-agent framework can be aimed at a real Blazor project, along with what else is new in the March update.

A smaller weekly VS Code release adds chat workflow refinements, semantic search changes, TypeScript 6.0, and new admin controls.