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Recently, Google opened its Artificial Intelligence Engine, TensorFlow (https://www.tensorflow.org). It is a software library for numerical computation that could be used for deep machine learning solutions. It was initially used by Google, but now it is available for everyone!

According to Jeff Dean, one of Google’s top engineers in machine learning, “What we’re hoping is that the community adopts this as a good way of expressing machine learning algorithms of lots of different types, and also contributes to building and improving [TensorFlow] in lots of different and interesting ways.” (source here)

Later, in Feb 2016, Google opens its Cloud Vision API to all developers. The API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. According to Google, it supports a broad set of scenarios from insights from your images, inappropriate content detection, image sentiment analysis to text extraction, and Optical Character Recognition (OCR) (find more here).

The cost for accessing the API depends on how you use it and resides in a range of $0.6-$2.0 per 1,000 images.

Based on these facts from Google, along with Microsoft’s Computer Vision API, we can conclude that the number of solutions and products in artificial intelligence (AI) and in the automated content area will grow exponentially.

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