Computer Cluster learns to make associations between pictures




American researchers from Carnegie Mellon University feed a computer cluster with millions of images in the hope that the system is a form of artificial intelligence can develop. By establishing linkages

The cluster has used the name NEIL received either Never Ending Image Learning. NEIL, which consists of 200 processors, has received in recent months dished millions of images from the Web, so writes AP. Through improved recognition software, the system is able not only to distinguish shapes and colors but also to make connections.

With our project, which is partly funded by Google and the U.S. Army, researchers aim to bring a computer common sense when: the ability to obtain without the system there for getting specific instructions knowledge. This associative properties are in accordance with ai-researchers is necessary in order to make. Artificial intelligence possible

The system would be more than 1500 objects and 1200 scenes can recognize. After analyzing millions of pictures Furthermore NEIL know to explain associations in 2500 but a significant portion is incorrect or irrelevant. Nevertheless, the researchers see NEIL as an interesting alternative to making knowledge which normally descriptions often in the form of language used. In a next step, NEIL must be fed with YouTube videos.


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