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.

An earlier version of this automatic gateman system, built around a camera-based design, was published on the Electronics For ...

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

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

Google's DeepMind division has released its latest AI model, Gemma 4, under the open-source Apache 2.0 license, enabling ...

The basic principle of radar systems is simple enough: send a radio signal out, and measure the time it takes for a reflection to return. Given the abundant sources of RF signals – television ...

Google has unveiled Gemma 4, its most capable open-source AI model family, designed for broad accessibility from data centers ...

Google has opened a developer preview for Gemini Nano 4, its next on-device AI model for Android, promising 4x faster ...

Google has released Gemma 4, a family of four open-weight AI models under Apache 2.0, with edge-to-workstation variants built ...

Performance varied significantly, with the MacBook Air M3 achieving the fastest speed (72 tokens/second), followed by the ...

About Farrington Capital Group: Farrington Capital Group (FCG) serves as the AI Development Engine for the next generation of medical diagnostics, specializing in proprietary algorithms for automated ...

Police jailed an innocent woman for five months on a bogus AI facial recognition match. Here's how the technology works and ...