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TIMOTHY JORDON: Hello, and welcome to I/O live.
I'm Timothy Jordan, and I'm standing here
with Jeff Dean, the head of AI at Google.
JEFF DEAN: Hi, Tim.
Thanks.
TIMOTHY JORDON: Hi, Jeff.
All right, let's start with a background of Google's work
in AI.
JEFF DEAN: So we've been using machine learning
and AI for the last 20 years in some of our products.
But in the last five or six years,
we've really sort of dramatically
accelerated our use of machine learning and AI
into more and more of our products.
We've really used it to make our products more intelligent,
to make them sort of more accessible,
to really improve the product, and build products
that we couldn't build in any other way.
TIMOTHY JORDON: What's new with the technology
that we're making available, say the last year, and at I/O?
JEFF DEAN: In the last year, for example,
we've made really great strides in improving
TensorFlow, our open source machine learning system.
One of the things I'm really excited about
is the TensorFlow.js release, which essentially
allows TensorFlow programs to be run in the browser,
just as normal web pages, with sort of machine
learning embedded code in them.
And it's really easy for people to create
really interesting new machine learning applications.
And then people to run them, by just loading up a web page.
It's pretty fantastic.
TIMOTHY JORDON: And TPUs?
JEFF DEAN: So we released-- announced the third version
of our TPU processor line, custom machine learning
accelerators.
The TPU V3 is really, really exciting.
It's quite hot, so it actually is
our first liquid cooled processor
that's in our data center.
And the pods are actually larger scale than the TPU pods
that we announced last year, so they're
eight times as powerful.
More than 100 petaflops of compute,
which is just an unbelievable amount of compute.
And the really exciting thing is that allows
us to make sort of more accurate models, machine learning
models that can train on more data, that
can train more powerful and more accurate models.
And then we can use that to improve our products.
TIMOTHY JORDON: I think one of the things that
makes me most excited about the technology
that we're making available is that whole spectrum, all
the way from TensorFlow JS, which is a very accessible way
to get into machine learning, and auto ML, all the way up
to TPUs.
So our advanced users have all that
compute to do cool stuff with.
JEFF DEAN: Yeah, I mean, I think there's
going to be a lot of different levels of expertise
and experience in using machine learning,
and we to make all of them able to use
machine learning to improve their products in life.
TIMOTHY JORDON: All right so, let's talk
about what people are doing with machine learning,
'cause we're getting there.
What are some things that people are
doing in the world of machine learning that you're
the most excited about?
JEFF DEAN: There's like lots of different applications.
One that I'm really passionate about
is the use of machine learning to improve health care.
I think there's a real opportunity there,
for both kind of medical imaging related problems,
we've been doing a lot of work on diabetic retinopathy
and other kinds of medical imaging problems.
But also in how patients' lives are
affected, how doctors are able to care for patients,
with making better decisions, a lot of advances there.
It's going to be great.
TIMOTHY JORDON: OK.
So there's these big problems that we're
tackling with machine learning.
What about everyday problems?
Is there something that you encounter everyday
that you would love somebody to apply to?
JEFF DEAN: Yeah, I think as you start
to have a machine learning lens, as you walk around the world,
you can see things that could be better.
For example, when I pull up to a stoplight and it's red,
and there's no cars coming the other direction,
that's just silly, right?
We should have computer vision based
stoplights that just allow people
to go when it's safe to go.
And that would be like a simple improvement
in the world, that would improve lots of people's lives.
TIMOTHY JORDON: Thanks for joining me.
JEFF DEAN: Thank you.
TIMOTHY JORDON: And thank you for watching I/O live.
To learn more about what Google is doing in AI and ML,
head on over to google.ai.
And to catch more videos like this,
head on over to g.co/io/guide.
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