Microsoft Research has become one of the most accomplished labs in artificial intelligence (AI) development. The computer vision algorithms it has pioneered have achieved substantial success.

Regardless of what algorithm was used, once we've isolated a face in a photo, we can apply more specialized computer vision algorithms to pinpoint facial landmarks, like the tip of the nose and ...

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 ...

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

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

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 ...

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 ...

Like other computer vision algorithms used to train robots, their robot learned about its world by first sifting through a database of 4,000 three-dimensional objects spread across ten different ...