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 ...

Self-driving cars need to implement efficient, effective, and accurate detection systems to provide a safe and reliable experience to its users. To this end, an international research team has now ...

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 ...

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.

Discover how deep learning–based de-noising enhances X-ray inspection—producing clearer images and reducing false results.

University of Arizona researchers have demonstrated that multiphoton microscopy (MPM), combined with machine learning and deep learning techniques, can accurately distinguish pancreatic neuroendocrine ...

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 ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more The use of deep learning has grown rapidly ...