Image recognition software is a powerful tool that helps computers "see" and understand pictures, just like humans do. It uses artificial intelligence (AI) to identify objects, faces, text, or ...

Much of the innovation in image recognition relies on deep learning technology, an advanced type of machine learning and artificial intelligence. Typical machine learning takes in data, pushes it ...

The application, made in June 2007, was published on Thursday and covers "methods, systems and apparatus including computer program products for using extracted image text," according to Google.

Facebook is opening-sourcing its AI image recognition software, which can detect and label objects in photos, and its related research papers. Skip to main content Menu ...

Here is an interesting conundrum for Google: it has created an algorithm that's significantly better at reading street numbers in Street View images, which helps it give you more accurate directions.

Algorithms that were right 95 percent of the time when they were dealing with a 13,000-image database, for example, were accurate about 70 percent of the time when confronted with 1 million images.

Facebook has revealed some details as to the inner workings of Rosetta, a machine learning-based AI program that it uses to parse text inside images and understand that text in the context of the ...

Facial Expression Recognition Software Developed Date: February 25, 2008 Source: Universidad Politécnica de Madrid Summary: Researchers have developed an algorithm that is capable of processing ...

Rendering one image took over 500 hours, with algorithms creating a "map" of brushstrokes. The final artwork was produced using 13 layers of paint-based UV ink.