Wednesday, November 11, 2015

TensorFlow: Google opens the doors of its artificial intelligence – Emerge the Future

The success of platforms and applications such as open source (such as Wikipedia or Firefox) is rapidly getting large companies because, even in the face of the possession of the engineering team’s most sophisticated world, the collaboration between intelligence easily becomes the trump card, even in the case of the Google platform , named TensorFlow and remained for a long time segregated including prototypes and patents.

With a surprising official statement issued by Sundar Pichai , Google has decided to open its doors to the public of its artificial intelligence , in fact transforming the a system of machine learning in a platform open source , which anyone with the skills and insights necessary computer will contribute with a view to development.

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Stripped forced by anglicisms and technical terms, TesnorFlow is the complex system that allows you to adjust individual algorithms by ongi application (such as Google Mail or Google Maps) and allow the improvement of their functions in a completely automatic, going to provide the necessary information, for example, sending an email or the location of a user dispersed in open country.

If the present state of research, TensorFlow is a highly complex computer system that makes decisions based on the data entered and optimizes the work in a short time, the Google project is to create the illusion of true artificial intelligence right on the basis of competencies achieved by the platform, so that one day pissed away the system may come not only to complete and perform algorithms, but to make decisions on their own.

Surely destined to be developed with a very long work, the idea no longer seems however bizarre or unattainable, since an estimated TensorFlow already have a kind of simulated intelligence comparable to that of a 4 year old and therefore, potentially expandable thanks to the collaboration of other intelligences, finally free to operate in open source.

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