- [Woman] Fact of the Day.
- Fact of the Day.
- Hello, hi, and welcome
to Fact of the Day with me, Mark Lotsu.
StarCraft players are next
on DeepMind's hit list.
So, if I say to you Protoss, Zerg, Terran,
some you wouldn't have a
clue what I'm talking about.
Some of you would know that I'm talking
about the fastest
bestselling strategy game
of all time, StarCraft II.
In the first month of sales,
it sold over three million copies
and there were over two
million illegal downloads.
So now that artificial intelligence,
the AI machines have beaten
the very best human players
at chess, at Scrabble, at Go,
they're now turning their
sights to StarCraft.
And if they can do it,
then not only will this be unprecedented,
this will also drive the future
of AI in a huge, huge way.
So with the other games, with
Scrabble and chess and Go,
it's turn-based.
Your go, now my go, your go, now my go.
And because it's turn-based,
it means it's much easier for
the computer to anticipate,
for the AI to anticipate
every possible outcome
based on the moves they've done so far.
StarCraft is done in real-time.
So you accumulate resources,
you build an army,
then you go and destroy your enemy's base,
but it's done in real-time
and also parts of the map are hidden
so you don't know where your opponent is
and you don't know what
units your opponent has.
So all of these different
things have to be taken
into account in an instant,
and the AI has to be able to react.
So if it puts all its
resources into on area,
whereas it should put its
resources into that other area,
it will be defeated.
Even beginner StarCraft players
can beat the AI at StarCraft.
That's how difficult it is for it to do.
So for a single Go match,
in terms of possible outcomes,
there's 10 to the power
of 170 possible outcomes.
For a single StarCraft II game,
there are 10 to the power
1,685 possible outcomes.
So Sebastian Risi and
Niels Justesen are looking
at the AlphaGo approach as
opposed to the DeepMind approach.
So this is the approach
where they use the equivalent
of human neurons within
the computer system,
and it simply learns and
adapts and learns and adapts
and learns and adapts.
So the computer plays
itself and plays itself
and plays itself and it strategizes,
and it looks at over
630,000 different games
from 2,000 of the world's
best StarCraft players,
and what it does is it tries to predict
what a human player would do,
and then it imitates what
that human player would do.
So conquering StarCraft
could be the bridge
that takes AI must
closer to the real world.
Where is John Connor when you need him?
So that's how StarCraft players are next
on DeepMind's hit list.
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Thanks for your time, love you, bye,
love you, bye, love you, bye.
