Google has made its artificial intelligence engine, TensorFlow, open-source. TensorFlow is the technology behind Google Photos’ image recognition system and the smart reply feature in Inbox. By making it open-source, developers worldwide can contribute to its improvement and innovation. TensorFlow is designed to run on multiple platforms, from smartphones to data centres, and is more flexible and twice as fast as its predecessor, DistBelief.

Google’s decision to open-source TensorFlow is not entirely altruistic. It is a strategic move to stay ahead in the AI race. By attracting a global community of developers, Google can tap into a pool of talent and ideas to improve and expand its AI capabilities.

Despite TensorFlow’s advanced features, it is not the first AI engine to be open-sourced. Facebook and Microsoft have previously released their AI tools to the public. However, TensorFlow’s versatility and speed set it apart. Its ability to run on various platforms makes it accessible to a wider range of developers.

This move by Google is a significant step towards democratising AI technology. It allows developers and researchers to access and contribute to advanced AI tools, fostering innovation and progress in the field.

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