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TIMOTHY JORDAN: Hello, and welcome to Google I/O 2017,
our Annual Developer Festival.
I'm Timothy Jordan, a developer advocate at Google.
And I'll be touring the I/O venue throughout the next three
days, exploring the sandboxes, interviewing Googlers,
and giving you eyes on the ground.
That's right.
Even though you're joining remotely, this year,
you'll get an in-depth look at everything
happening at Shoreline, not just the sessions.
You can follow along on any of the live stream channels
on google.com/io.
Google I/O is an outdoor developer festival
hosting 7,200 attendees at Shoreline Amphitheater,
along with millions of viewers on the live stream--
that's you-- and thousands of developers
and more than 450 local I/O Extended events
across 80 countries.
We have 14 content tracks with over 150 breakout sessions,
all live-streamed on google.com/io.
There's also over 70 code labs live,
to get you up and running with our latest APIs today
at g.co/io/codelabs.
But before you get to any of that, let's review
a handful of the announcements you just heard.
Smart Reply, available in inbox by Gmail and Allo,
saves you time by suggesting quick responses
to your messages.
It utilizes machine learning to give you better responses
the more you use it.
And it already drives 12% of replies in Inbox on mobile.
Starting today, Smart Reply is coming to Gmail
for Android and iOS too.
We're excited to announce that our second generation tensor
processing units are coming to Google Compute Engine as cloud
TPUs where you can connect them to virtual machines
of all shapes and sizes and mix and match them
with other types of hardware, including
Skylake CPUs and Invidia GPUs.
You can program these cloud TPUs with TensorFlow,
the most popular open source machine
learning framework on GitHub.
And we're introducing high level APIs,
which will make it easier to train machine-learning models
on CPUs, GPUs, or cloud TPUs with only minimal code changes.
Many top researchers don't have access
to anywhere near as much compute power as they need.
To help as many researchers as we can
and further accelerate the pace of open machine-learning
research, we will make 1,000 cloud TPUs
available at no cost to ML researchers via the TensorFlow
research cloud.
Android O, coming later this year,
will bring more fluid experiences
to your smaller screen, as well as improvements
to battery life and security.
With picture-in-picture, you can seamlessly
do two tasks simultaneously.
And smart text selection improves copy and paste
by using machine learning to recognize entities
on the screen.
Google Play Protect is Google's comprehensive security services
for Android, which provides powerful new protections
and greater visibility into your device security.
Play Protect is built into every device with Google Play,
is always updating, and automatically
takes action to keep your data and device safe.
We also have an early preview of a new initiative
for entry level Android devices that internally we
call Android Go.
The goal is to get computing into the hands of more people
by creating a great smartphone experience on all Android
devices with one gigabyte or less of memory.
Android Go is designed with features relevant for people
who have limited data connectivity
and speak multiple languages.
Of course, way more was covered in the Google keynote,
including new ways to share with Google Photos, including photo
books; new ways that Google Assistant can help you do even
more; investments in the core technologies
that enable VR and AR, and in platforms that make
them accessible to more people.
Have questions about I/O '17?
Tweet them, starting today through May 19,
using #io17request.
A team of Googlers will be on-site chasing down answers
for you.
Make sure to also follow the conversation on #io17
and on the Google Developers blog.
Make sure to tune into the developer keynote
at 1:00 PM Pacific time.
And I'll see you right here on the Livestream
between all the sessions.
This is Google I/O 2017.
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