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

A team at the University of Florida has developed a new kind of computer chip that uses light with electricity to perform one of the most power-intensive parts of artificial intelligence—image ...

The latest Apple-made artificial intelligence model, FastVLM, is now available for users to try out, offering a significantly faster video-captioning AI that can describe what the camera captures on ...

The growing demand for unmanned vehicles, especially amid the current wave of AI upgrades, heavily relies on advanced image processing capabilities. For drones, various image processing technologies ...

Abstract: Light-Field (LF) image is emerging 4D data of light rays that is capable of realistically presenting spatial and angular information of 3D scene. However, the large data volume of LF images ...

The materials and structural components used in aeroengines, spacecraft re-entry, aircraft hypersonic flight and nuclear power applications are usually subjected to high temperatures during normal ...

The Allen Telescope Array, Hat Creek Radio Observatory. Credit: Alexander Pollak. Radio interferometry is a technique in radio astronomy where signals from two or more radio telescopes are combined to ...

ABSTRACT: Elevators are essential in urban infrastructure, not only providing a critical means of vertical transportation in high-rise buildings but also ensuring accessibility for individuals with ...

Here’s something fun. Our hacker [Willow Cunningham] has sent us a copy of their homework. This is their final project for the “ECE 574: Cluster Computing” course at the University of Maine, Orono. It ...

Here’s something fun. Our hacker [Willow Cunningham] has sent us a copy of their homework. This is their final project for the “ECE 574: Cluster Computing” course at the University of Maine, Orono. It ...

van Vliet and colleagues show a useful correlation between internal states of a convolutional neural network (CNN) trained on visual word stimuli with three specific components of evoked MEG ...