People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Samsung’s new Galaxy XR headset powered by Android XR is the Apple Vision Pro’s biggest rival yet when it comes to the best XR headsets. In this video, Mark goes hands-on with the device formerly ...

Abstract: Modern railways continue to strive for remote and automated methods to improve the visual inspection procedures for their assets. In some cases, these inspections provide new information ...

Abstract: The present paper aims to follow the development of a belt conveyor equipped with a computer vision module. The process of constructing the system with the help of CAD software, as well as ...

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce MacFadden, UF Distinguished Professor Emeritus and retired curator of ...

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study, the answer is much smaller than previously thought, with big implications for the field of ...