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 ...

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...

Real-time object detection on mobile platforms is a crucial but challenging computer vision task. However, it is widely recognized that although the lightweight object detectors have a high detection ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Six members of Facebook AI Research (FAIR) tapped the popular Transformer ...

Near-infrared (NIR) photon detection and object recognition are crucial technologies for all-weather target identification.

Tesla CEO Elon Musk has been teasing a neural network training computer called “Dojo” since at least 2019. Musk says Dojo will be able to process vast amounts of video data to achieve vision-only ...

Scientists in China have developed a new deep learning model based on the so-called "You Only Look Once" algorithm, which requires only one forward propagation pass through the neural network to make ...

Researchers at the University of Southampton have developed an artificial intelligence (AI) tool that can spot hard-to-see ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...