[MUSIC PLAYING]
TIMOTHY JORDAN: We're now in the Experiments tent,
and there are so many cool things to play with.
Before we get to that-- which is going to be in just a moment--
I just want to ask Amit what experiments are all about.
SPEAKER 1: Thanks.
So Experiments are platforms that we bring out--
websites.
Each one is a kind of a playground that
invites everybody to come in and send
in interesting and playful things
that they're doing with our technologies.
We have Chrome experiments, Android experiments web VR
experiments, and AI experiments.
They're all there.
And new platforms will come out.
And we're very excited about the things
that people are doing with them.
TIMOTHY JORDAN: And a lot of them are open source, right?
SPEAKER 1: Yes.
A lot of them are open source, which is amazing
because experimentation is a wonderful way for people
to play and discover new things for themselves.
But when they share with the community,
then everybody gets to see what's
possible with AI, what's possible with web VR.
It's really amazing.
And it's also amazing for us at Google
to see the surprising things that sometimes
happen when people just have fun and play
with these technologies.
TIMOTHY JORDAN: And lot of them are built
by people who aren't Googlers.
SPEAKER 1: Oh yeah, absolutely.
I mean, there's a submit button on there.
And you can just go and send us the stuff that you're doing,
the garage, the kind of passion project that you have.
And you'd be surprised how helpful some of these projects
could be for everybody else.
Essentially we can get to get inspired, and imagine
new things with these technologies.
TIMOTHY JORDAN: All right, let's check some of them out.
First off is Quickdraw.
And I'm actually going to play.
Do you want to narrate for everybody at home what
we're doing?
SPEAKER 1: Yeah, absolutely.
So Quickdraw-- oh, thanks.
So you might have actually played this game at home.
But this is the multiplayer version of the game.
What's happening here is a machine learning game.
So you're going to draw something.
And the machine is going to try to guess
what it is that you're drawing.
And if the machine can guess right, you get a point.
Right, so here we go.
We've got Timothy, Adam, and Nick.
Three two, one, go.
So the machine is going to tell them something to draw.
In this case, for example, Timothy
is asked to draw to draw water.
And you can see over there that he's trying to draw water.
And if the machine can guess, if the computer vision algorithm
can guess that--
it's actually the handwriting API.
And it can guess that he got water right,
then he gets a point.
So Nick just-- think Nick is killing it over there.
He's drawing a train.
[MUSIC PLAYING]
Well, Adam seems to be in first place with 14.
After that, we got Nick Jonas with 12.
And Tim-- there we go, we're done.
Time's up.
They're [INAUDIBLE] with you but it's OK--
[INAUDIBLE]
[MUSIC PLAYING]
TIMOTHY JORDAN: It's the water that got me.
How do you draw water?
I just drew the surface.
SPEAKER 2: That's the funny thing,
some things are perceived differently, right?
People think water drops versus river water, shapes.
And it's different every time.
TIMOTHY JORDAN: Awesome.
Thanks, guys.
All right, let's go check out something else.
There's something that makes music over there, right?
SPEAKER 1: OK, so this is a really exciting one.
The artist Giorgio Moroder, who used to be the-- or is,
actually, he is the King of europop--
created this amazing soundtrack.
And what we've done is we're using the Computer Vision
API to go and have the phone identify different items.
And then the phone is actually narrating itself
as a soundtrack to the music, telling us
about what it's seeing, what it thinks it's seeing,
as how it's identifying these objects.
And that actually becomes part of the songs.
TIMOTHY JORDAN: That's really cool.
SPEAKER 1: I think it's better to just listen to it, right?
TIMOTHY JORDAN: All right, let's go check it out.
You guys ready?
All right, which ones should we do first?
We should go--
PHONE: Ready to [INAUDIBLE] recognition with me.
Take a picture and I'll tell you what I see.
Here-- here-- here we go.
On it.
All right.
[GUITAR MUSIC STARTS]
Is that guitar or not?
Got musical instrument in this spot.
OK, what else?
Yeah-- yeah-- yeah-- yeah--
I'm on it.
Looks like automotive exterior to me.
TIMOTHY JORDAN: This is really great.
OK.
PHONE: All-- All right.
I'm on it.
I think ceiling is what we've got.
TIMOTHY JORDAN: It's a banana, silly.
PHONE: Or maybe not.
TIMOTHY JORDAN: All right, I'll leave this with you guys.
Thank you.
That was really cool.
All right.
Let's try a couple more things.
That was super fun.
So this is satellite imagery?
SPEAKER 1: Yes, this is satellite imagery.
It was created by an artist, Zach Lieberman and the DAX
team.
So the idea here was really simple.
What if you could search the world using a simple gesture?
Right?
And notice here how it takes it to different places
all over the world every time you draw a gesture.
So let's just give it a shot, let's see where we go.
TIMOTHY JORDAN: Spain.
SPEAKER 1: So it's an experiment.
It's just a really wonderful experience.
Right?
It's not like you'll be able to like
find your way to a specific place
by drawing a gesture, that's not the point.
The point is really-- this is optimized for a really
joyful and fun experience.
Do you want to try the other mode as well?
So what it's going to do here is build this like imaginary city
built around these tiles.
And you start dragging it a certain direction,
it'll start building a road by combining all these tiles.
There's about 50,000 of them that the team
has processed using various algorithms to go and create
this experience.
And this is a Chrome experiment.
You can check it out at ChromeExperiments.com
TIMOTHY JORDAN: That's really cool.
It's really joyful and rather pleasant.
SPEAKER 1: It is.
Yeah, it's very meditative for me.
You know, we've been standing here and seeing
people playing with it.
And we find ourselves just like starting-- just like, yeah.
It's mesmerizing.
TIMOTHY JORDAN: Kind of zone out on the satellite image.
SPEAKER 1: Absolutely.
TIMOTHY JORDAN: I mean, the world's a big place.
SPEAKER 1: It's a big place.
It gets a little smaller when you get to travel it this way.
TIMOTHY JORDAN: I think we have time for one more thing.
What should we check out?
SPEAKER 1: Yeah.
Let's go check out actually a submission by students--
former student, he's graduated now-- from Denmark.
And he's created a wonderful piece using machine learning.
Very unexpected interesting piece.
SPEAKER 4: So this is Objectifier
with spacial programming.
And it's a really cool machine learning
device that takes visual input, processes it
through TensorFlow, and ultimately triggers "if this,
then that" statements.
So you can imagine putting your favorite reading
glasses on would trigger a reading lamp,
pulling the sheets up at night, getting into bed
will turn all your lights off.
It can happen on device.
It was built by a developer, Bjorn, out of Denmark.
And if we had the proper European adapter,
we could do it all right within this physical hardware.
There's a Raspberry Pi 0 in there.
And then it can ultimately connect to anything
you can plug in for the trigger.
TIMOTHY JORDAN: All right, well, I
was playing with this earlier.
It was very cool.
I was able to hit the button and do a gesture.
And then like using that gesture,
we could turn it off or on.
That's awesome.
So you wanted to say one last thing about Quickdraw.
SPEAKER 1: One last thing.
We're very, very excited today to announce
that we're releasing, open sourcing 50 million images.
These are vector drawings where the actual ordered
draw strokes of images that people have drawn in Quickdraw.
It's available now for developers
to go and train their own models on, which is very exciting.
Researchers can go in and look at it
and find some interesting patterns.
And artists can go and do interesting and weird things,
and submit them back to us as experiments.
So we're very, very happy to share this data with the world.
TIMOTHY JORDAN: That's awesome.
Thank you so much.
And thank you for showing us around the experiments tent.
SPEAKER 1: Absoutely.
Thanks, Timothy.
TIMOTHY JORDAN: So that was Experiments.
Now, if you want to see this video again,
or you to see any of the other videos or recording at the sand
box areas here at Google I/O 2017,
head on over to g.co/io/guide.
I'm Timothy Jordan, and I'll see you at the next one.
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