Today, the most successful methods for image-understanding tasks rely on feed-forward neural networks. Although this approach offers empirical accuracy, efficiency and task adaptation through ...

Researchers have developed a new 3D method that can be used to track fast-moving objects at unprecedented high speeds. The real-time tracking approach, which is based on single-pixel imaging, could be ...

Recent years have seen the rapid growth of new approaches to optical imaging, with an emphasis on extracting three-dimensional (3D) information from what is normally a two-dimensional (2D) image ...

Flies are fast-reacting creatures and can sense movement quickly. Researchers have now used flies as their inspiration by developing an artificial insect inspired compound eye that can sense a moving ...

Scientists and engineers have built 3D printed devices that have the functionality to track and store how they are used. This is based on a method called backscatter. Via this process a device can ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

A new real-time, 3D motion tracking system developed at the University of Michigan combines transparent light detectors with advanced neural network methods to create a system that could one day ...

Apple is opening up what is possible on Apple Vision Pro by implementing physical object tracking and expanded spatial accessory support. Here's what that means for users when visionOS 27 launches.

3D tracking and machine vision, as represented by this rendered image, underpins the ability of autonomous vehicles and other robots to understand and respond to the world around them. New tech ...