Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

Abstract: Recent years have witnessed significant success of convolutional neural networks (CNNs) in human activity recognition (HAR) using wearable sensors. Nevertheless, prior works have an obvious ...

My $35 server works harder than some PCs.

An enterprising young man aims to catch up with the collective wealth of Elon Musk, and his first money spinner is a portable ...

Raspberry Pi AI Camera captures data at 4056 x 3040 resolution at 10fps The camera has a 78-degree field of view with adjustable focus The AI Camera can be connected to all Raspberry Pi models ...

Q. Can you shed some light on what your centre is doing at CDAC? A. CDAC is an autonomous organisation under the Ministry of Electronics and Information Technology, with 13 centres across India, ...

As edge devices become increasingly AI-enabled, more and more chips are emerging to fill every application niche. At the extremes, applications such as speech recognition can be done in always-on ...

fairseq2 is a sequence modeling toolkit that allows researchers to train custom models for content generation tasks. fairseq2 is a start-from-scratch project that can be considered a reboot of the ...

Abstract: This work presents a real-time driver drowsiness detection system deployed on a Raspberry Pi 5 using the YOLOv8 object detection model. The original PyTorch model was converted to the ...

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

DeepX in Korea is working on a version of its M.2 edge AI PCI Express card that will work with the Raspberry Pi single board computer. The company has developed a 25TOPS edge AI accelerator chip with ...