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A new computing tool developed by Google will let developers build AI-powered apps. The upside is it's doing so without sucking up all of your information.
Google on Wednesday released TensorFlow Federated, open-source software that incorporates federated learning, an AI training system. It works by using data that's spread out across a lot of devices, such as smartphones and tablets, to teach itself new tricks. But rather than send the data back to a central server for study, it learns on your phone or tablet itself and sends only the lesson back to the app maker.
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Federated learning runs "part of the machine learning algorithm right next to where the data is on the device," Alex Ingerman, a product manager at Google Research, said in an interview. The algorithm applies what it already knows to the data on your phone, such as suggesting replies to emails, and creates a summary of what it learned in the process to send back.
TensorFlow Federated adds an important, new privacy-sensitive ability to the artificial intelligence revolution taking hold of the computing industry. AI promises to change the way we work and live, letting machines learn enough that they can complete tasks that currently require people. For example, if you and a bunch of other people add "side-eye" to your texting app's dictionary, the app could figure out the usage and incorporate that into its standard dictionary by itself.
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To get good at these tasks, machines need to see a huge amounts of data, which worries people concerned about privacy. Federated learning helps soothe those worries.
Google has led the AI charge, using the technology for tasks like translating written languages spotted in photographs or suggesting responses to emails. TensorFlow Federated is already built into...
(Excerpt) Read more at: CNET
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