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 ...

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.

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

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

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

A team of researchers at MIT CSAIL, in collaboration with Cornell University and Microsoft, have developed STEGO, an algorithm able to identify images down to the individual pixel.

Computer vision is one of the most exciting applications of artificial intelligence. Algorithms that can understand images—both still pictures and moving video—are a key technological foundation ...

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 ...

To researchers’ surprise, deep learning vision algorithms often fail at classifying images because they mostly take cues from textures, not shapes.

US-based start-up VideoSurf uses computer vision algorithms to do just that. The company was acquired by Microsoft last month - with plans to integrate its technology into Redmond's Xbox 360 ...