{"id":66397,"date":"2014-11-19T08:24:49","date_gmt":"2014-11-19T08:24:49","guid":{"rendered":"http:\/\/4cd.e16.myftpupload.com\/?p=66397"},"modified":"2014-11-19T08:25:06","modified_gmt":"2014-11-19T08:25:06","slug":"google-makes-image-recognition-advance","status":"publish","type":"post","link":"https:\/\/citifmonline.com\/2014\/11\/google-makes-image-recognition-advance\/","title":{"rendered":"Google makes image recognition advance"},"content":{"rendered":"

Scientists at Google have created artificial intelligence software that can describe the contents of photographs far more accurately than ever before.<\/p>\n

The software’s description of pictures was similar to that written by a human.<\/p>\n

As well as making it easier to search for images, the software could be used to help blind people understand pictures better, Google said.<\/p>\n

Stanford University has also announced a breakthrough in the same field.<\/p>\n

The machine-learning software developed by Google used two neural networks – one which deals with image recognition, the other with natural language processing.<\/p>\n

\"ASoftware description: A group of young people playing a game of frisbee<\/div>\n

Neural networking is a computational model that mimics some of the same architecture used in the brain. Such systems have a series of interconnected neurons which can take information from a variety of sources and are also capable of learning.<\/p>\n

The neural network developed by Google was the work of four scientists – Oriol Vinyals, Alexander Toshev, Samy Bengio and Dumitru Erhan.<\/p>\n

“A picture may be worth a thousands words,” they wrote on the Google Research blog.<\/p>\n

“But sometimes it’s the words that are the most useful – so it’s important we figure out ways to translate from images to words automatically and accurately.”<\/p>\n

Two years ago Google researchers created image-recognition software and showed it 10 million images taken from YouTube videos. After three days the programme had taught itself how to pick out pictures of cats.<\/p>\n

 <\/p>\n

Source: BBC<\/p>\n","protected":false},"excerpt":{"rendered":"

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