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.

Learn how to build your own AI Agent with Raspberry Pi and PicoClaw that can control Apps, Files, and Chat Platforms ...

Abstract: Sound source Direction of Arrival (DOA) estimation is pivotal in various applications such as speech recognition, source localization, and acoustic surveillance. Sound Intensity (SI) based ...

High dynamic range USB cameras delivering up to 120+ dB HDR, plug-and-play UVC compliance, and ultra-low light imaging, engineered for embedded vision platforms and recommended for UAV applications ...

The Raspberry Pi 5 is several times faster than previous models of the compact and cheap computer. For less than a couple hundred bucks, you can have a computer that can do many tasks that previously ...

Researchers have discovered that hedgehogs can hear ultrasound, a surprising ability that could help protect them from cars. Since road traffic kills large numbers of hedgehogs, scientists believe ...

United Airlines has updated its policy to require passengers to use headphones for audio or video. Failure to use headphones could result in removal from the flight or a permanent ban. The new rule is ...

Abstract: Environmental Sound Recognition (ESR) is an essential task in audio analysis, involving the identification and classification of sounds from various environmental contexts. This study ...