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 ...

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

Chris is a writer and editor with over 10 years of experience covering games and has a bachelor's degree in History from the University of Central Lancashire. He's mainly focused on guides, but has ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

This guide walks developers through creating custom TensorFlow operations in C++, covering everything from interface registration to kernel implementation, Python integration, multi-threaded CPU and ...

This project focuses on building a robust object detection model for self-checkout systems, specifically targeting apple detection. While standard models like SSD and Faster R-CNN struggled with ...

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...

A real-time object detection system using a Tello drone and OpenCV. This project enables autonomous object detection and tracking using a pre-trained SSD MobileNet V3 model.