Before deep learning, creating computer vision algorithms that could process medical images required extensive efforts from software engineers and subject matter experts.

A computer-implemented method for processing a video feed of a user performing a diagnostic test using a set of stacked computer vision algorithms, the method comprising: receiving, from a user ...

Agencies are interested in using computer vision to enhance their missions and improve security. But what is computer vision technology, and how can feds use it? An interior view of the atrium in the ...

Researchers say they've found evidence of pervasive bias in computer vision algorithms trained on ImageNet, a popular photo dataset.

Computer vision algorithms can detect anomalies and predict outcomes, even estimating treatment costs based on jaw images. Computer vision aids in surgery by converting broken bone MRIs into 3D ...

Researchers have shrunk state-of-the-art computer vision models to run on low-power devices. Growing pains: Visual recognition is deep learning’s strongest skill. Computer vision algorithms are ...

Computer vision algorithms detect facial features in images and compare them with databases of face profiles. Consumer devices use facial recognition to authenticate the identities of their owners.

Computer vision algorithms can inherit biases present in training data, leading to biased or unfair outcomes.

What computer vision algorithms bring to the table is the scalability and aptitude to memorize outcomes. Instead of capturing and storing large amounts of video data, computer systems can, for example ...

Computer vision (sometimes called machine vision) is one of the most exciting applications of artificial intelligence. Algorithms that are able to understand images – both pictures and moving ...