Google crams machine learning into smartwatches in AI push

0 Posted by - 14th February 2017 - Technology

Google is bringing artificial intelligence to a whole new set of devices, including Android Wear 2.0 smartwatches and the Raspberry Pi board, later this year.

A cool thing is these devices don’t require a set of powerful CPUs and GPUs to carry out machine learning tasks.

Google researchers are instead trying to lighten the hardware load to carry out basic AI tasks, as exhibited by last week’s release of Android Wear 2.0 operating system for wearables.

Google has added some basic AI features to smartwatches with Android Wear 2.0, and those features can work within the limited memory and CPU constraints of wearables.

Android Wear 2.0 has a “smart reply” feature, which provides basic responses to conversations. It works much like how predictive dictionaries work, but it can auto-reply to messages based on the context of the conversation.

Google uses a new way to analyze data on the fly without bogging down a smartwatch. In conventional machine-learning models, a lot of data needs to be classified and labeled to provide accurate answers. Instead, Android Wear 2.0 uses a “semi-supervised” learning technique to provide approximate answers.

“We’re quite surprised and excited about how well it works even on Android wearable devices with very limited computation and memory resources,” Sujith Ravi, staff research scientist at Google said in a blog entry.

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