Image stabilization remains a major challenge for video cameras, from high-end cinema and broadcast units down through consumer camcorders. Although a variety of technologies now exist to stabilize ...

Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors.

They designed a way to quickly generate black-box adversarial examples that are capable of fooling different algorithms, including Google’s Cloud Vision API.

Most image recognition algorithms require lots of labeled pictures. This new approach eliminates the need for most of the labeling.

Connected component labeling (CCL) is a fundamental operation within image processing and computer vision, serving as the backbone for tasks such as object recognition, segmentation, and analysis ...

Well-scalable parallel algorithms are necessary for science. For example, in physics, to solve problems related to Bell's theorem. Save time and money A programmer needs to run a ready-made program on ...

Three years ago, Katie Bouman led the creation of an algorithm that eventually helped capture the first black hole image.

But neural network-based image recognition algorithms are still far from perfect, and according to a pair of recent papers these algorithms can be tricked pretty easily.