It’s About to Get Way, Way Easier to Put AI Everywhere

https://www.technologyreview.com/the-download/609498/its-about-to-get-way-way-easier-to-put-ai-everywhere/

Currently, most small or portable devices that use machine learning lack the horsepower to run AI algorithms. Indeed, only now are smartphones, like Apple’s iPhone X, getting dedicated hardware to help them run such software efficiently. Simpler devices still mostly have to send their problems up to the cloud using an Internet connection so that a big server can crunch the task and send it back.

That’s largely why Amazon’s Alexa, for instance, has a small but very noticeable lag when you ask it to do something. Tossing a fully functioning AI onto a device so it doesn’t need an Internet connection could make things faster, and it’s a boon for those concerned about keeping their data locked down, too. It also raises the possibility of putting simple AIs on very basic chips, which could make smart devices practically disposable.

More broadly, today’s announcement is another step in the rapid escalation of competition in the world of AI software. Microsoft and Amazon, for example, recently teamed up to build their own TensorFlow competitor called Gluon.

If the partnership sounds strange, that’s because the goal isn’t necessarily to best Google in AI software—it’s to keep the search giant lagging a distant third in the cloud business, which is a big earner for both Amazon and Microsoft. The rise of TensorFlow has given Google an edge in attracting users to its cloud, as it’s often easier to run one’s AI on the cloud servers of the company whose software library is being used. By teaming up, Microsoft and Amazon are hoping to keep as far ahead of Google as possible. The arrival of TensorFlow Lite, though, only serves to underscore that Google has no intention of being pushed around.

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