-: Hello and welcome to the course
on Artificial Intelligence A to Z.
My name's Kirill Eremenko
and on behalf of Hadelin de Ponteves,
the co-instructor in this course,
I'd like to welcome you into this amazing adventure
that we're about to start.
And what's up with this timer?
Well, the reason for this timer
is this is my third time recording this tutorial
and I get so excited about these things
and it just goes over,
like blows over 10 minutes or 20 minutes.
So I decided to limit myself to five minutes
to get you excited about this course,
and why it's the best time to be in AI.
So let's dive into it.
We've got four and a half minutes left.
Why AI?
Well, we've all heard about applications
of artificial intelligence
that are popping up around us.
Self-driving cars, medicine, heavy machinery,
customer service, the list just keeps going on
and on and on.
But why right now?
Why not 10 years ago or not 10 years later?
Well, the answer is hidden in this curve,
which so called Moore's law.
It was originally identified in 1965 by Gordon Moore,
and what it says is that the power of the average computer,
like in very simple terms,
the power of the average computer
that you can buy for $1,000
will double every 18 to 24 months.
And that's been, as you can see,
the law has held constant through good times and bad,
war and peace, and the recession, depressions.
Nothing stops this curve.
And we've already surpassed the brain of an insect
for an average computer
that you can buy for 1,000 bucks.
We're sitting at about the processing power
of the brain of a rat.
By 2025, we'll be at the brain of a human.
As you can see, it's exponentially growing
and so this is a great time
to be in artificial intelligence.
It's just gonna be doubling,
the power is gonna be doubling every time.
Three minutes.
So some of my favorite examples
are related to games like chess and Go.
So in 1997,
DeepMind was the first computer
to beat Garry Kasparov in chess.
It was a huge thing.
It was like one of the most broadcasted chess games
on the planet ever.
And at the same time...
And considered an impossible feat.
Now on any phone, you can install an app with chess,
which no human player will ever beat
because computers are that good now.
You just cannot beat a computer in chess
if you put it on the hardest setting.
And then just recently in March 2016,
a computer won against the 18 world times champion,
18 world champion of the game of Go, Lee Sedol.
Again, considered an impossible feat,
even at the start of the match,
it was considered to be impossible.
That it's only gonna happen 10 years from then.
But it happened.
And by the way,
if you'd like, find out a bit more about the game of Go.
It's very, very exciting, very interesting.
It's got 40 million players, 3,000-year-old game.
Very popular in China, Japan and Korea.
And it's much more complex than chess.
So just there's many more impossible combinations.
So again, something that was considered impossible
is happening and it's happening now,
and much earlier than its time.
So how are we going for time?
1 minute 52 seconds.
So that's what you'll see from this course.
You'll see that we're using games to train AI.
Why are we doing that?
Because games are a confined environment
where if we can beat a game,
using an artificial intelligence,
then we can use the same principles
to apply it to business,
and that's the exact same thing
that the team at Google DeepMind
who created AlphaGo who won against Lee Sedol,
that's exactly what they did.
They applied artificial intelligence
to a Google warehouse to control the air cooling
and what they found this is the electricity bill,
the electricity consumption.
You can see it's going like this.
As soon they switch on the AI,
bam, it goes down.
And then they switch it back off, it goes up.
They were able to save 40%
on their electricity bill,
and I have one minute left.
40%.
So you can find the full article on the DeepMind blog.
That is insane.
Imagine that for a company of Google's scale,
which has millions and millions of servers.
So there you go, that's your connection
between applying artificial intelligence in games
and applying it to business.
Very, very closely related
and that's what you will be able to do after this course.
And finally, one of my favorite blogs,
waitbutwhy.com.
Check it out, amazing blog by Tim Urban.
This is how he describes the situation we're in.
This is us and technological progress.
We're sitting here.
This is what it looks like.
It looks very linear.
But because it's an exponential boom,
this is what's gonna happen in the next years.
And there's very strong evidence
from the things we're seeing
to suggest we're sitting right over here
on the kink of the curve.
And that, my friends, in short
is why it's so exciting to be alive right now,
why it's so exciting to be
and get into and be in the space of artificial intelligence
because the power you'll have,
the applications that you will be able
to create or the ways you'll be able to apply it
is gonna be intense and insane.
And I can't wait to see you
on the first tutorial of this course.
Let's get this started.