Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it’s ...

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...

In the field of hazardous chemical transportation, safety is of utmost importance. The consequences of an accident can be ...

A lab has developed a deep neural network that improves the accuracy of their unique devices for detecting pathogen biomarkers. Sophisticated systems for the detection of biomarkers -- molecules such ...

Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model ...

Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

The core of AI image detection lies in computer vision and neural networks. Through these technologies, machines can 'learn' how to recognize patterns and objects in images just like humans. Initially ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...