AI-ready infrastructure solutions, hosted at the edge in Miami data centers, have been introduced by the cloud and bare metal ...

Large language models are machine learning models designed for a range of language-related tasks such as text generation and ...

Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...

This project provides an advanced Personal Protective Equipment (PPE) detection system using the YOLOv11 deep learning architecture. The objective is to automate the process of identifying whether ...

The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes ...

PageRank interpreted hyperlinks as endorsements, prioritizing pages linked by many others and weighting endorsements from ...

Abstract: Underwater image detection plays a vital role in various marine applications such as oceanography, underwater robotics, and environmental monitoring. The challenges of underwater imaging, ...

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

Getting ready for a Python interview in 2025? It can feel like a lot, trying to remember all the details. Whether you’re just starting out or have been coding for a while, brushing up on common ...

Abstract: Current Vehicle-to-Everything (V2X) systems have significantly enhanced 3D object detection using LiDAR and camera data. However, they face performance degradation in adverse weather.

Earlier this month, I started the review of the Intel-based UP AI development kits with an unboxing of the UP TWL, UP Squared Pro TWL, and UP Xtreme ARL ...