Abstract: Deploying Large Language Models (LLMs) on resource-constrained edge devices like the Raspberry Pi presents challenges in computational efficiency, power consumption, and response latency.

My elderly father is extremely deaf and struggles to hear people, particularly on the landline phone. So I built this — a Raspberry Pi with a 10" touchscreen that sits next to his phone and ...

SunFounder has sent me a review sample of the Fusion HAT+ Raspberry Pi expansion board designed for motor and servo control using audio interactions with its built-in microphone and speaker, as well ...

This paper introduces an Ultra-Lightweight Uncertainty-Aware Ensemble (UALE) model for large-scale multi-class medical MRI diagnosis, evaluated on the 2024 Benchmark Diagnostic MRI and Medical Imaging ...

Abstract: The rapid growth of Internet of Things (IoT) networks has increased security risks, making it essential to have effective Intrusion Detection Systems (IDS) for real-time threat detection.

Methods from Machine Learning (ML) and Computer Vision (CV) have proven powerful tools for quickly and accurately analyzing behavioral recordings. The computational complexity of these techniques, ...

Artificial intelligence (AI) has made remarkable strides in recent years, particularly in its ability to reason. At the heart of this evolution are new technologies like neural networks and large ...

What’s new in the upcoming Orange Pi AIpro? There’s an exciting new development on the horizon – Huawei Ascend’s low-level AI Chip will be incorporated into the upcoming Orange Pi AIpro single-board ...