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 ...

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 ...

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 ...

Two young Indian entrepreneurs are disrupting the $244 billion global fitness industry with breakthrough AI technology that ...

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 ...

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

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

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 will analyze this raw data to optimize road safety and generate insights on collision alerts and pedestrians on the road in real-time.

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 ...