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Microsoft demonstrates artificial intelligence Adam
Microsoft wants with its artificial intelligence Project Adam competitor Google stabbing to the crown. The neural network named Adam would not only be faster than Google Brain, but would also further thrive on less hardware.
The artificial intelligence project include Microsoft competes with Google Brain, Apple technology behind Siri and Facebooks tagging algorithms. It is based on a form of ai is called deep learning, which acts as speech recognition, computer vision and translation are carried out. For this, neural networks, modeled on brains deployed. Microsoft Neural Network Project Adam would be especially good at recognizing pictures and would Googles Brain amply surpass. However, details about Adam gave Microsoft has so far not.
Meanwhile, this changed: the head of Microsoft Research Peter Lee Project Adam explained in detail. For example, he showed how Adam in ImageNet 22K benchmark dropping best performance. Microsoft claims twice the accuracy of Google Brain with just any umpteenth hardware. In doing so, the system is presented with twenty-two thousand picture types that need to be enough to get. Many system on the knees classified How do successful with Adam dataset can handle, due mainly to the way in which data is exchanged between the various servers. Large amounts of nodes must be controlled by master servers to get. Conflicts with data exchange
That takes power and is difficult as systems become more complex. However, Adam uses a technique called Hogwild and asynchronous systems provide. So need to be on different servers and can not wait to work much faster. The technique was developed by the University of Wisconson and developed by Microsoft for use with Adam. The project now runs on Microsoft’s Azure cloud servers, but in the future, fpga can be. Probably used more effectively GPUs would not be appropriate and only data bottlenecks pose a deluge of data.
Project Adam takes the time being as an app that is only available at Microsoft Research: whether a public version lies ahead is unknown. The app is used, to recognize when a picture of them made animals. Future applications, however, would be more extensive pieces, in areas such as health and entertainment.Viewing:-146
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