[MUSIC PLAYING]

PRABHAKAR RAGHAVAN: Hello, everyone.

Bonjour.

Welcome.

Before we start, I’d like to join

[? Mack ?] in acknowledging the tragic loss of life

and the widespread destruction from the earthquakes in Turkey

and Syria.

Our hearts are with the people there.

Now, we’re here in France, the birthplace

of seven giants of science and mathematics–

Blaise Pascal, Pierre de Fermat, Joseph Fourier,

to name just a few on whose shoulders computer scientists

stand today.

And for those on the livestream, we’re

coming to you from Google Paris, home of one of our premier AI

research centers and less than 5 kilometers

from the final resting place of Pascal,

my favorite mathematician.

What a fitting setting to talk about the next frontier

for our information products and how AI is powering the future.

The very first founder’s letter said that our goal at Google

is to “significantly improve the lives of as many people as

possible.”

That’s why our products have a singular focus,

to be helpful to you in moments big and small.

Think about Google Search, which would

celebrate its 25th birthday today, this year.

Search was built in breakthroughs

in language understanding.

That’s why we can take a complex, conversational query,

like delicious-looking, flaky French pastry

in the shape of a heart, and help you identify exactly

what you’re looking for.

But we didn’t stop there.

Through our ongoing investments in AI,

we can now understand information in its many forms,

from language to images and videos, even the real world.

With this deeper understanding, we’re

moving beyond the traditional notion of search

to help you make sense of information in new ways.

So now you can simply take a picture with Lens

to instantly learn that heart-shaped pastry is

a palmier cookie.

But advancements in AI are also why

if you need to fix your bike chain,

you can get directed to the exact point in a video that’s

relevant to you, like when they’re showing you

how to put the chain back on.

If you’re shopping for a new accent chair,

you can see it from all angles right on Search in 3D

and place it in your living room with AR, augmented reality,

to see how it looks.

Or if you pop out of the metro in an unfamiliar city.

you can find arrows overlaid in Google Maps on the real world,

pointing you to walk in the right direction.

All these examples are a far cry from the early days of Search.

But, as we always say, Search will never be a solved problem.

Although we are almost 25 years in,

Search is still our biggest moonshot.

The thing is, that moon keeps moving.

The perfect search remains elusive

because two things are constantly changing, first,

how people expect to engage with information naturally

and intuitively, and second, how technology

can empower that experience.

And so we’re creating new Search experience

that work more like our minds, that reflect how we as people

naturally make sense of the world.

As we enter this new era of Search,

you’ll be able to understand information,

no matter what language it originated in.

Search anyway and anywhere, be it

on your screen or to explore the real world.

And express yourself and unlock your creativity in new ways.

Let’s start with understanding information.

We’ve seen time and time again that access to information

empowers people.

But for centuries, information was largely

confined to the language it was created or spoken in

and only accessible to people who understand that language.

With Google Translate, we can break down

language barriers and unlock information, regardless

of the language of its origin.

Over a billion people around the world

today use Translate across 133 languages

to understand conversations, online information,

and the real world.

For example, translate has been a lifeline

to help those displaced from Ukraine

adjust to daily life in new countries.

In the war’s early days, Ukrainian Google Translate

queries grew in Polish, German, and other European languages

as Ukrainians seeking refuge turned to it

for critical information in their language.

We recently added 33 new languages

to Translate’s offline mode, including Corsican, Latin,

and Yiddish, to name just a few.

So even if you’re somewhere without access to the internet,

you’ll get the translation help you need.

And soon it will bring you a richer, more intuitive way

to translate words that have multiple meanings

and translations.

So whether you’re trying to buy a new novel

or celebrate a novel idea, you’ll

have the context you need to use the right turn of phrase.

We’ll begin rolling this out in several languages in the coming

weeks.

But there’s still more we can do to bridge language divides.

To bring the power of translate to even more languages,

we use zero-shot machine translation, an advanced AI

technique that learns to translate into another language

without ever seeing translation pairs.

Thanks to zero-shot machine translation,

we’ve added two dozen new languages

to Translate this past year.

In total, over 300 million people

speak these newly added languages.

That’s roughly the equivalent of bringing translation

to the entire United States.

While language is at the heart of how we communicate

as people, another important way we make sense of information

is visually.

As we are fond of saying, your camera is the next keyboard.

That’s why back in 2017, we redefined

what it means to search by introducing Lens

so you can search what you see with your camera or photos.

We’ve since brought Lens directly to the Search Bar.

And we’ve continued to bring you new capabilities,

like shopping within an image and step-by-step homework help.

I’m excited to announce that we’ve just

reached a major new milestone.

People now use Lens more than 10 billion times a month.

This signals that visual search has moved from a novelty

to reality.

And as we predicted, the age of visual search is here.

In the context of translation, understanding isn’t just

about the languages we use.

It’s also about the visuals we see.

Often it’s the words with context,

like background images, that create meaning.

And so in Lens, a new advancement

helps you translate the whole picture, not just

the text in it.

Before, when translating text in an image,

we’d block part of the background.

Now, instead of covering the text,

we erase it, recreate the pixels underneath

with an AI-generated background, and then overlay

the translated text back on top of the image,

all as if it was part of the original picture.

I’m pleased to share that this is now rolling out globally

on Android mobile.

So you can use Lens to start translating text into context.

As you can see with Lens, we want

to connect you to the world’s information one

visual at a time.

We’re continuing to build upon these capabilities.

So I’ll now turn to Liz to share more.

Liz?

[MUSIC PLAYING]

LIZ REID: Thanks, Prabhakar.

You can already use Lens to search

from your camera or photos right from the Search Bar.

But we’re introducing a major update

to help you search what’s on your mobile screen.

In the coming months, you’ll be able to use

Lens to search what you see in photos or videos

across the websites and apps you know and love on Android.

For example, let’s say you get a message from your friend who

sent a video exploring Paris.

You’d like to learn what the landmark is

that you see in the video.

So you long press the power button on your phone,

bring up Google Assistant, and tap Search Screen.

Assistant connects you to Lens, which identifies it

as Luxembourg Palace.

And you can tap to learn more.

Pretty awesome, huh?

Think about it like this.

With Lens, if you can see it, you can search it.

As Prabhakar touched upon, sometimes

it’s the combination of words and images

that communicate meaning.

That’s why last year we introduced Multisearch in Lens.

With Multisearch, you can search with a picture and a text

together, opening up entirely new ways to express yourself.

Say you see a stylish chair but you want it

in a more muted color to match your style.

You can use Multisearch to find it

in beige or another color of yours.

Or you spot a floral pattern shirt

but you want in it bleu rouge instead.

You can use Multisearch for that, too.

Let’s see how that works with a live demo.

We are missing the–

we’re missing the phone.

[LAUGHS] We’ll have to–

we have no– we’ll move on.

We can’t find the phone.

Sorry.

We’ll do one later in the special Q&A.

OK, so what you can do is you can spot a cool pattern

on the notebook, but then you can swipe up to see the text

and be able to search on the Search Box,

letting you find something like a rock

if you just typed in [INAUDIBLE]..

Or you can find wallpaper, similar.

This unique ability allows us to mix modalities,

like images and texts.

And it opens up a whole world of possibilities.

And you can imagine a future where even more modalities

are at play.

I’m excited to share that Multisearch is now officially

live globally on mobile.

And that means Multisearch is now

available in over 70 languages that Lens

is in around the world.

We’ve taken Multisearch a step further

by adding the ability to search locally on mobile in the US.

You can take a picture or screenshot of a food dish

or item and add Near Me to find where

to get it nearby from the millions of businesses

on Google.

In the next few months, we’ll bring Multisearch Near Me

to all the languages and countries

for which Lens is available to.

So you’ll be able to use Near Me if you

want to support a neighborhood business

or if you just need to pick something up right away.

There are also times when you’re already searching

and you find something that just catches your eye

and it inspires you.

So in the next few months, you’ll

be able to use Multisearch globally

for any image you see on the Search results page on mobile.

Once you start using Multisearch,

it’s striking how natural.

It feels to be able to use multiple senses to search.

I hope you give it a try.

And with that, back to Prabhakar.

[APPLAUSE]

PRABHAKAR RAGHAVAN: Thanks, Liz.

And we’ll have to figure out who stole your phone.

So far today, we’ve talked about how

AI is helping us more deeply understand

the world’s information so we can help

you access it more naturally.

But we only scratched the surface

of what’s possible with AI.

We’ve long been pioneers in this space,

not just in our research, but also

in how we bring those breakthroughs

to the world and our products in a responsible way.

We’ve made significant contributions

to the scientific community, like developing

the Transformer, which set the stage for much

of the generative AI activity we see today.

And we’re committed to continuing

to bring these technologies to the world in a responsible way

that benefits everyone.

This is the journey we’ve been on with large language

models, which can make engaging with technology

more natural and conversational.

Back at I/O in 2021, we unveiled our LaMDA AI model,

a breakthrough in conversational technology.

Next, we’re bringing LaMDA to an experimental conversational AI

service, which we fondly call Bard.

You’ll be able to interact with Bard to explore complex topics,

collaborate in real time, and get creative new ideas.

For example, let’s say you’re in the market for a new car, one

that’s a good fit for your family.

Bard can help you think through different angles to consider,

from budget to safety and more, and simplify and make

sense of them.

Bard’s suggestion to consider fuel type

might spark your curiosity.

So you can ask it to explain the pros

and cons of buying an electric car and get helpful insights.

We all know that once you buy a new car,

you’ll have to plan a road trip.

Bard can help you plan your road trip

so you can take your new car out for a spin.

You might ask Bard to help you find

scenic routes, interesting places to stop along the way,

and fun things to do when you and your family

get to your destination.

Bard seeks to combine the breadth of the world’s

knowledge with the power, intelligence, and creativity

of large language models.

It draws on information to the web

to provide fresh, high-quality responses.

We are releasing Bard initially with our lightweight model

version of LaMDA.

This much smaller model needs significantly less computing

power, which means we’ll be able to scale it to more users

and get more feedback.

We just took our next big step by opening Bard up

to trusted testers this week.

We’ll continue to use feedback from internal and external

testing to make sure it meets the high bar, our high bar

for quality, safety, and groundedness

before we launch it more broadly.

Human curiosity is endless.

And for many years, we’ve helped remove roadblocks

to information so you can follow your curiosity wherever

it takes you, from learning more about a topic to understanding

a variety of viewpoints.

People often turn to Google for quick, factual answers,

like what is a constellation?

Already today, we give you fast answers

for straightforward queries like this.

But for many questions, there’s no one right answer,

what we call NORA queries, questions like,

what are the best constellations to look for when stargazing?

For questions like those, you probably

want to explore a diverse range of opinions or perspectives

and be connected to the expansive wisdom of the web.

That’s why we’re bringing the magic of generative AI

directly to your search results.

So soon, if you ask, what are the best constellations

to look for when stargazing, new generative

AI features will help us organize

complex information in multiple viewpoints

right in search results.

With this, you’ll be able to quickly understand

the big picture and then go on to explore different angles.

So say this new information on constellations

piques your interest.

You can dig deeper, for instance,

to learn what time of year is best to see them and explore

further on the web.

Open access to information is core to our mission.

And we know people seek authentic voices

and diverse perspectives.

As we scale these new generative AI features, like this,

in our search results, we continue

to prioritize approaches that will

allow us to send valuable traffic

to a wide range of creators and support a healthy, open web.

In fact, we’ve sent more traffic to the web every year

each year than the year prior.

The potential for generative AI goes

far beyond language and text.

As we mentioned earlier, one of the most natural ways people

engage with information is visually.

With generative AI, we can already

automate 360-degree spins of sneakers

from just a handful of still photos, something

that would have previously required merchants

to use hundreds of product photos and costly technology.

As we look ahead, you can imagine

how generative AI will enable people

to interact with visual information in entirely

new ways.

They might help a local baker collaborate on a cake design

with a client or a toymaker dream up a new creation.

They might help someone envision what their kitchen looks like

but with green cabinets instead of wood,

or describe and find the perfect complementary pocket square

to match a new blazer.

In our quest to make Search more natural and intuitive,

we’ve gone from enabling you to search your text to voice,

to images, to combination of modalities,

like you saw with Multisearch today that Liz talked about.

As we continue to bring generative AI technologies

into our products, the only limit to Search

will be your imagination.

Beyond our own products, it’s important to make

it easy, safe, and scalable for others

to benefit from these advances.

Next month, we’ll start onboarding developers,

creators, and enterprises so they

can try a generative language API, initially powered

with LaMDA, with a range of models to follow.

Over time, we’ll create a suite of tools and APIs

to make it easy for others to build applications with API.

From Bard to the new AI-powered features in Search

to image generation, APIs, and beyond, when it comes to AI,

it’s critical, critical that we bring

these experiences rooted in the models

to the world responsibility.

That’s why we’ve been focusing on responsible AI

since the very beginning.

We were one of the first companies

to articulate AI principles.

We are also embracing the opportunity

to work with creative communities and partners

to develop these tools.

AI will be the most profound way to expand access

to high-quality information and improve the lives of people

around the world, committed to setting the high standard

on how to bring it to people in a way that’s

both bold and responsible.

So far, you’ve seen how we are applying state-of-the-art AI

technologies to help you understand

the world’s information across languages and modalities.

AI is also making it far more natural

to make sense of and explore the real world, like with Google

Maps.

Over the Chris to share more.

Come on up, Chris.

[MUSIC PLAYING]

CHRIS PHILLIPS: Thanks, Prabhakar.

For 18 years, Google Maps has transformed how

people make sense of the world.

It’s a valuable tool for over 1 billion people,

helping them avoid traffic jams on the way to work,

find restaurants in a new city, and so much more.

And the latest advancements in AI and computer vision

are powering the next generation of Google Maps,

making it more immersive and sustainable than ever before.

Let me show you what I mean.

Before Google Maps, getting directions

meant physically printing them out on a piece of paper.

But Google Maps reimagined what a map could be,

bringing live traffic and helpful information

about places right to your phone.

Now we’re transforming Google Maps once again,

evolving our 2D map into a multidimensional view

of the real world that comes alive,

starting with Immersive View.

Immersive View is a brand-new way

to explore that’s far more natural and intuitive.

It uses AI to fuse billions of Street View and aerial images

to create a rich digital model of the world,

letting you truly experience a place before you step inside.

Let’s take a look at the Rijksmuseum in Amsterdam.

If you’re considering a visit, you

can virtually soar over the building, finding the entrances

and get a sense of what’s in the area.

With the Time Slider, you can see

what it looks like at different times of the day

and what the weather will be so you know when you visit.

To help you avoid crowds, we want to point out

areas that tend to be busy.

So you have all the information you need to confidently make

a decision about where to go.

If you’re hungry, you can explore different restaurants

in the neighborhood.

You can even glide down the street, peek inside it,

and understand the vibe before you book a reservation.

This stunning, photorealistic indoor view

is powered by neural radiance fields.

It’s an advanced AI technique that

uses 2D images to generate a highly accurate 3D

representation that recreates the entire context of a place,

including its lighting, the texture of materials,

and what’s in the background.

You can also see if our restaurant’s lighting is

good for a date night or if the outdoor view at a cafe

is the right place for lunch with friends.

Immersive View represents a completely new way

to interact with the map, using all the detailed information

in Google Maps today and visualizing it

in a more intuitive way.

We’re excited that Immersive View starts rolling out today

in London Los Angeles, New York, San Francisco, and Tokyo.

And we’re bringing it to more European cities,

like Amsterdam, Dublin, Florence, and Venice

in the coming months.

Immersive View is just one example

of how artificial intelligence is powering a more

visual and intuitive map.

It also helps us reimagine how you find places

when you’re on the go.

You heard Prabhakar talk about how

your camera’s the new keyboard.

And that’s also true for the map.

Search with Live View uses AI paired with augmented reality

to help you visually find things nearby,

like ATMs, restaurants, and transit hubs

just by lifting up your phone.

We’ve recently launched Search with Live

View in several cities, including here in Paris.

In the coming months, we’ll start

expanding it to more places, like Barcelona, Dublin,

and Madrid.

Let’s head outside to where Rachel

will show us how it works.

Over to you, Rachel.

RACHEL: Thanks, Chris.

I’m out here scoping out the neighborhood.

Whenever I come to a new city, I’m always

on the hunt for great coffee.

So let’s see what I can find.

Tapping on the Camera icon in the Search Bar,

I’m able to see coffee shops, as well

as other categories of places, like restaurants, bars,

and stores.

I can even see places that are out of my field of view.

So I’m really able to get a sense of what this neighborhood

has to offer at a glance.

But let’s look at coffee shops specifically because I really

need some caffeine.

All right, so it looks like we have a few good coffee

options right around here.

I’m able to see if these places are open,

if they’re busy right now, and if they’re highly rated.

This one looks pretty good.

So I’m going to tap on it to learn more.

All right, OK, this looks pretty good.

It has a lot.

It has a high star rating.

This looks really tasty and cute.

All right, and it’s not too busy right now.

So I’m going to head over there and grab an espresso.

Back to you, Chris.

CHRIS PHILLIPS: Wow.

Thanks, Rachel.

[APPLAUSE]

As you can see, pairing our AI with AR

is transforming how we interact with the world.

Augmented reality can be especially helpful

when navigating tricky places indoors,

like airports, train stations, and shopping centers.

We launched Indoor Live View in select cities

to help you do just that.

It uses AR arrows to help you find things

like nearest elevators, baggage claim, and food courts.

Today we’re excited to announce that we’re

embarking on the largest expansion of Indoor Live

View to date.

We’re bringing it to 1,000 new venues in cities like Berlin,

London, New York, Tokyo, and right

here in Paris in the coming months.

Today, you’ve seen how the future of maps

is becoming more visual and immersive.

But we’re also making it more sustainable.

It’s all about helping people make the sustainable

choice, the easy choice.

We recently launched ecofriendly routing in Europe

to help you choose the most fuel-efficient,

energy-efficient energy efficient route

to your destination whether you drive a petrol, diesel,

electric, or hybrid vehicle.

And as we’re seeing more drivers embrace electric vehicles,

we’re launching new Maps features for EVs

with Google built in to make sure you have enough charge,

no matter where you’re headed.

First, to help alleviate range anxiety,

we’ll use AI to suggest the best charging

stop, whether you’re taking a road trip

or just running errands nearby.

We’ll factor in traffic, charge level, and the energy

consumption of your trip.

If you’re in a rush, we’ll help you find stations

where you can charge your car quickly with our new very

fast charging filter.

For many cars, this can give you enough power

to fill up and get back on the road in less than 40 minutes.

Lastly, we’re making it easier to see

when places like supermarkets have charging stations

on site with a new EV icon.

So if you’re on your way to pick up groceries,

you can choose a store that also lets you charge your car.

Look out for these Maps features in the coming

months for cars with Google built in wherever

EV charging is available.

To help drivers make the shift to electric vehicles,

we’re focused on creating great EV experiences

across all of our products.

For instance, in Waze, we’ll soon

be making it easy for drivers to specify their EV plug

types so they can find the right charging

station along their route.

But we’re not just focused on driving.

In many places, people are choosing

more sustainable options, like walking, biking, or taking

transit.

On Google Maps, we’re making it even simpler to get around

with new glanceable directions.

For example, when you’re walking,

you can track your journey right from your route overview.

It’s perfect for those times when you need to see your path.

We’ll give you easy access to updated ETAs

and show you where to make the next turn, information that

was previously only available by using

our comprehensive Navigation Mode.

Glanceable directions start rolling out globally

on Android and iOS in the coming months.

Making a global impact requires everyone

to come together, including cities, people, and businesses.

That’s why we’ve worked with cities

for years to provide key insights through Environmental

Insights Explorer, or EIE, a free platform designed to help

cities measure emissions.

The Dublin City Council has been using

EIE to analyze bicycle usage across the city

and implement smart transportation policies.

And in Copenhagen, we’re using Street View cars

to measure hyperlocal air quality with Project Air View.

With this data, the city is designing low-emission zones

and exploring ways to build schools and playgrounds away

from high-pollution areas.

These are just a few ways that AI

is helping us reimagine the future of Google Maps,

making it more immersive and sustainable

for both people and cities around the world.

And now I’ll turn it over to Marzia

to talk about the work we’re doing in Europe with Google

Arts & Culture.

[APPLAUSE]

[MUSIC PLAYING]

MARZIA NICCOLAI: Thank you, Chris.

It’s exciting to see how Google Maps keeps

getting more helpful.

For the past decade, our daily work at Google Arts & Culture

has also been about finding new pathways, specifically

those at the intersection of technology and culture.

Together with our 3,000 partners from over 80 countries,

we brought dinosaurs to life in virtual reality,

digitized and preserved the famed Timbuktu Manuscripts,

recrafted a destroyed Mayan limestone staircase,

and found a way for us humans to find our four-legged friend’s

doppelganger and famous artworks.

As for the latter, at least one of Chris’s dogs

apparently spent a previous life in Renaissance Venice.

Perhaps you might also have heard of our work

through our popular Art Selfie feature, which helped over

200 million people find their doppelganger

in famous artworks.

But what you probably didn’t know

is that Art Selfie was actually the first on-device AI

application from Google and that we

have applied AI to cultural pursuits

in our Google Arts & Culture lab in Paris for over five years.

So today, I’d like to show you what

artificial intelligence in the hands of creatives and cultural

experts can achieve.

For our first example, I would like

to welcome the blobs to the digital stage.

[OPERA MUSIC]

[APPLAUSE]

Thank you, blobs.

Now, some of you might recognize the hallmarks of good opera

right away–

bass, tenor, mezzo soprano, and soprano.

And if you aren’t familiar with the world of opera singing,

this experiment, created in collaboration

with artist David Li, is for you and will

be your gateway to learn more.

For Blob Opera, we teamed up with four professional opera

singers whose voices trained a neural network,

essentially teaching the AI algorithm

how to sing and harmonize.

So when you conduct the blobs to create your very own opera,

what you hear aren’t the voices of the opera singers,

but instead the neural network’s interpretation of what opera

singing sounds like.

Give it a try and join– try and join the many people

from around the world who have spent

over 80 million minutes in this playful AI experiment

to learn about opera.

As you’ve seen and heard, AI can create new and even playful

ways for people to engage with culture.

But it can also be applied to preserve intangible heritage.

As Prabhakar shared earlier, access

to language and translation tools

is a powerful way to make the world’s information more

accessible to everyone.

But I was surprised to learn that out

of the 7,000 languages spoken in Earth, more than 3,000

are currently under threat of disappearing,

amongst them Maori, Louisiana Creole, Sanskrit,

and Calabrian Greek.

To support these communities in preserving and sharing

their languages, we created an easily usable language

preservation tool called Woolaroo, which, by the way,

is the word for photo in the Aboriginal language

of Tugambeh.

So how does it work?

Once you open Woolaroo and your mobile phone’s browser,

select one of the 17 languages currently

featured and just take a photo of your surroundings.

Woolaroo, with the help of AI-powered object recognition,

will then try to identify what is in the frame

and match it against its growing library of words.

For me, this tool is special because it

shows how I can help to make a tangible difference

for communities and real people, like the ones shown here,

in their struggle to preserve their unique heritage.

Now let’s have a look of AI in the service

of cultural institutions and how it can help uncover what

has been lost or overlooked.

Women on the forefront of science

have often not received proper credit or acknowledgment

for their essential work.

To take another step to rectify this,

we teamed up with researchers at the Smithsonian American

Women’s History Initiative and developed

an experimental AI-driven research

tool that first compares archival records across history

by connecting different nodes in the metadata.

Secondly, it’s able to identify women scientists on variations

in their name because sometimes they

have to do things use their husband’s

name in a publication.

And third, it’s capable of analyzing image records

to cluster and recover female contributors.

The initial results have been extremely promising

and we can’t wait to apply this technology

to uncover even more accomplishments of women

in science.

Preserving cultural heritage online is core to our mission.

We work hard to ensure that the knowledge and treasures

provided by our cultural partners

show up where it’s of most benefit,

when people are searching online.

Say you search for Artemisia Gentileschi,

the most successful yet often overlooked

female painter of the Baroque period.

You’ll be able to explore many of her artworks,

including “Self-Portrait of Saint Catherine,”

that have been provided by our partner,

the National Gallery of London, in high resolution.

When you click on it, you’ll be able to zoom into the brush

stroke level to see all the rich detail of the work.

You’ll never be able to get that close in the museum.

What’s more, you’re actually able to bring

this and many other artworks right into your home.

Just click on the View in Augmented Reality button

on your mobile phone to teleport Artemisia’s masterpiece

in its original size right in front of you.

But culture doesn’t stop at classical art.

So keep your eyes open for a variety of 3D

and augmented reality assets provided

by cultural institutions.

One of my favorite, besides the James Webb Space Telescope,

is one of the most popular queries for students,

the periodic table, for which I’m

happy to announce we’ll triple the number

of available languages to include French, Spanish,

German, and more in the coming weeks.

3D and AR models in Google Search

really unlock people’s curiosity.

And in the past year alone, we’ve

seen an 8x increase in people engaging

with AR models contributed by Google Arts & Culture partners

to explore and learn.

Those are just some of the examples

of what awaits at the intersection

of artificial intelligence and culture

and how we work with our partners to make

more culture available online.

I invite you to discover all of that and much more

in the Google Arts & Culture App.

Thank you and back to Prabhakar.

[APPLAUSE]

PRABHAKAR RAGHAVAN: Thanks, Marzia.

Today you saw how we are applying state-of-the-art AI

technologies to make our information products more

helpful for you, to create experiences that are

as multidimensional as the people who rely on them.

We call this making Search more natural and intuitive.

But for you, we hope that it means

that when you next seek information,

you won’t be confined by the language it originated in.

You won’t be constrained to typing words in a search box.

And you won’t be beholden to a single way of searching.

Although we are 25 years into Search,

I daresay that our story has just begun.

We have even more exciting AI-enabled innovations

in the works that will change the way people search,

work, and play.

We are reinventing what it means to search.

And the best is yet to come.

Thank you all.

Merci.

[APPLAUSE]

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