Now your apps can get smarter with as little as a single line of code. They can learn to continually adapt to changing conditions and to integrate new information. This week at Google I/O, we’re making the Google Prediction API generally available, meaning you can create apps with these capabilities for yourself. Additionally, we’re introducing several significant new features, including:
The
Google Prediction APIcan be used by almost any app to recommend the useful, extract the essential, and automate the repetitive. For example:
For example, Ford Motor Co. Research is working to use the Prediction API to optimize plug-in hybrid vehicle fuel efficiency by optionally providing users with likely destinations to choose from, and soon, optimizing driving controls to conserve fuel. Because the API is a cloud-hosted RESTful service, Ford has been able to access its computationally-intensive
machine learningalgorithms to find patterns that rank potential destinations based on previous driving paths. Ford will be demonstrating their work at the
API’s I/O Session.
Here’s a summary of the features we added to the API today:
Today, we are also announcing the Prediction API’s forthcoming gallery of pre-trained third party predictive models (try
these demo models right now), and we will be adding more constantly (maybe yours –
waitlist). Once complete, all Prediction API users will be able to:
See our recent
blog postfor even more ideas, and get started at the
Google APIs Console.
Thanks to our community of preview developers, who have played a crucial role in helping us make the Google Prediction API simpler and more powerful since its announcement last year at I/O 2010. We are thrilled to invite all developers to join them.
Travis Green's favorite part about his job is designing smart applications. In his spare time, he is in the great outdoors (looking for trouble).
Posted by Scott Knaster, Editor
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