Washington : Researchers, including those of Indian-origin, have developed a new programme that helps computers to learn common sense through pictures, enabling them to scour the internet and label images on its own, reports PTI.
The computer programme can make associations between things to obtain common sense information that people just seem to know without ever saying – that cars often are found on roads, that buildings tend to be vertical and that ducks look sort of like geese.
The computer programme called the Never Ending Image Learner (NEIL) is running 24 hours a day at Carnegie Mellon University, searching the Web for images, doing its best to understand them on its own and, as it builds a growing visual database, gathering common sense on a massive scale.
NEIL leverages recent advances in computer vision that enable computer programmes to identify and label objects in images, to characterise scenes and to recognise attributes, such as colours, lighting and materials, all with a minimum of human supervision.
In turn, the data it generates will further enhance the ability of computers to understand the visual world. Based on text references, it might seem that the colour associated with sheep is black, but people – and NEIL – nevertheless know that sheep typically are white.