SPEAKER 1: Over 10 years ago, we announced our first Android
Developer Challenge.
Today, modern Android is shaping the next generation platform.
And so it seemed kind of fitting to announce the Android
Developer Challenge is back.
SPEAKER 2: That's right the Android Developer Challenge is
back, and we need your help.
Developers like you have always played an important role
in shaping the direction of Android,
fueling the wave of Android innovation.
As Android continues to push the boundaries into emerging areas,
like machine learning, 5G, foldables, and more,
we need your help to bring to life the consumer
experiences that will define these new frontiers.
The first area we will be focusing on
is helpful innovation powered by on-device machine learning.
We want to hear your ideas and how
we can help to bring your ideas to life,
showcase it in front of billions of users on Google Play,
and inspire other developers around this incredible
technology.
Running machine learning model on-device
means you can reduce the amount of data
you send to your server, enhancing user privacy.
Because it runs on-device, it can also
work offline, perfect for inaccessible areas,
such as the middle of a rainforest, a desert,
or the London Underground.
Last, but not least, the most exciting aspect
of running your model on-device is low latency,
and this can enable all kinds of new user experiences.
Machine learning is not just for automating tasks.
It can work alongside your users and give them superpowers too.
You don't have to take on the machine learning task alone.
We offer a range of developer tools.
If you want to translate between 59 different languages,
detecting and tracking an object across the screen,
or tackle other tasks, with powerful Google machine
learning models, you can use our turnkey SDK ML kit.
If you have a custom model and you
want it can optimize it and run it on Android,
you can use the [INAUDIBLE] light framework.
Aside from tools, we also have infrastructure,
such as Google Cloud.
We can help you train on-device models using AutoML Vision
Edge for specific model types, or give you the raw processing
power to train your own model.
The choice is yours.
At Google, we're a big believer in how this new technology can
open up a world of helpful innovation
so you can get things done in ways we never thought possible.
Take live captions.
For the almost 500 million people who are deaf and hard
of hearing, live captions makes the world more accessible.
This is exactly the type of machine learning powered
innovation we expect to see more of someday.
And with your help, we can turn that someday into today.
BEN WEISS: If you've got an idea.
We want to hear about it.
So here's what you should do to participate.
Share your idea by creating a GitHub repository
and tag it with #AndroidDevChallenge.
Tell us about your idea, what you're planning to build,
and how you could use help from Google.
Then be sure to submit your idea at the Developer Challenge
site.
And mark December 2nd in your calendar,
because that is the submission deadline.
We'll pick 10 submissions and provide expertise and guidance
to those developers to help in their plans
to complete the project.
You'll get an all expenses paid working session
with a panel of experts at the Google HQ
in Mountain View, California.
At this boot camp, we will provide
technical guidance and technical expertise
to help you complete your project.
In order to enable us to do so, your idea
must leverage a Google supported on-device machine
learning offering.
And once you've finished your project,
we'll help showcase it for your users,
including a collection on Google Play, where we'll
feature your app, tickets to Google I/O in 2020,
and we'll celebrate these experiences
with the broader Android developer community
and developers at Android.com.
We might even showcase you at Google I/O
in places like the sandbox sessions
and perhaps even a keynote.
We're excited to hear what it is you come up with.
And together, we will inspire other developers
around these emerging technologies.
Don't forget to apply by December the 2nd,
and we can't wait to see what you submit.
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