Microsoft researchers improve AI tech for answering questions about photos

Microsoft researchers are back at it, using a type of artificial intelligence called deep learning to build smarter software. Building on the company’s previous work, Microsoft Research employees have developed a new method of answering simple questions about the content of a photo more accurately than similar systems that have been demonstrated by other groups recently. The approach involves two types of artificial neural networks — convolutional and a long short-term memory network — which generally train on large quantities of data, such as photos, and then make inferences about new photos that they are given. But the new method goes further by incorporating a “stacked attention network,” which effectively hones in on the key area in an image in order to answer a specific question. There are multiple layers…


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