Emerging use cases for computer vision Wherever you go today, cameras are likely scanning you, and computer vision algorithms are performing real-time analytics.

With that goal in mind, the researchers developed two new computer vision algorithms to automatically interpret images of electronic materials: one to estimate band gap and the other to determine ...

Computer vision algorithms are becoming increasingly sophisticated at capturing and analyzing 3D images. This can be spatial, such as using multiple cameras to capture different angles.

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

Over the past decades, computer scientists have developed increasingly sophisticated sensors and machine learning algorithms ...

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 is the interpretation and analysis of visual data from images and videos using algorithms and deep learning models.

Financial界 August 28, 2025, The intelligent transformation of the retail industry is accelerating, especially in the security sector. Recently, Gatekeeper Systems applied for a patent titled "Shopping ...

Like other types of AI, computer vision relies on large amounts of data and algorithms based on machine learning to replicate how the human brain works. How does computer vision work?

Top neuroscience labs are adapting new and unexpected tools to gain a deeper understanding of how mice, and ultimately humans, react to different drug treatments.