Google Android Wear 2.0 to Feature on-Device Machine Intelligence
Wearable devices that run Android Wear 2.0 will be the first that fully support Google's on-device machine learning technology.Google's Android Wear 2.0 wearable computing operating system will be the first version that fully supports on-device machine learning technology. The ML technology, developed by Google's Expander research team, will power smart messaging across Google applications as well as third-party messaging apps installed on the wearable. The feature will let users of Android Wear 2.0 wearables respond to incoming chat messages with a single tap and without having to be connected to a cloud service. Up to now, the ML systems behind the conversational understanding and image recognition capabilities supported by many Google apps, have been hosted in the cloud. The systems have typically combined technologies, such as graph-based machine learning and deep neural networks that are so computationally and memory intensive they could only be run in the cloud. With Android Wear 2.0, Google has introduced a newly designed lightweight ML architecture for enabling Smart Reply on Android Wear and similar capabilities on other mobile applications installed on a device, Google staff research scientist Sujith Ravi wrote on the company’s Research Blog this week.
Smart Reply is a feature that Google introduced with Inbox that is capable of generating automatic responses to incoming messages using machine learning and natural language processing smarts. The technology looks at the words used in a message and the context in which they are used to automatically generate a list of potential responses that the user can choose to respond to the message. The goal is to make it easier for users to respond to incoming messages.