my initiation to the world of
started when you opened 10 11
years
my parents did a computer
called this spectrum maybe some
system up a box the keyboard
connected display jump and to load the
computer games
we used 18 cassettes and with the computer
with this spectrum comes also a book
of the program are books programming
animated called low basic demand
a very simple economic agenda and
quite suitable for introduction to
computer is and I started to follow the
book examples
a simple example in the boxes
the little songs and I was learning to
few the problem is of the height feeling
already ambitious and decide to try
computer to play against
me the rooster game
the game is the game many fans know
which is that of the players compete for
lined up in kitchens and polka dots and
in fact after a few attempts
get the computer to play against
I played and even I was able to win
your spending badly or at least get
draw with me pretty much made the game
cool is an extremely simple and
cool game schedule is to last
moment that lives to the ee until a
10 year old 11 year old can
do and it is trivial because the game
which occurs in an environment that the moment
which is very controlled this is not
fear of the current environment between all
the possibilities of everything that can
happen is known to start
we know that the parts are not
in those positions before it is a
next to each other and have been
all these moves are known to
match
this allows you to program a rule
specific to each game situation
and this style rule already the game
have this situation better then
player in the de facto councils
programming the computer to be
intelligent and this will have been my
first
my first contact with the
the world, including partial and
The idea is that the past 25 years and
this is the truth is exactly in these
artificial things impossible
The game with this is quite simple.
the things that no longer wanted
complicated when we think about the game
for a game also know the
chess game
the sesi is to play soccer and win 3 for
31 28 has many more pieces
the pieces can move the shapes
more complex
the number of juke citations that exist
in our country it is in fact very hissed
future is to be impossible we programs
computer so that the small
situation of the game we had a
rule and this rule would play a
grenade part to broadcast the final and
solve the problem of creating a player
of automatic chess we have a
pretty party approach we do
is to build a problem that Adrian
will play
I myself will pretend to respect a
series of plays will try to play well
in the plays ahead 10 20 arrivals to the
front and inside these plays all
then choose a better one soon
We’ve already made that move from a
set of rules that we define
expect a kind of research from the
best move and if it still is not
brief space the number of acronyms is
so great that we do is also
we notice the computer of its strategy
and also noticed a computer some
memory no more and fingers of the games of the
great champions
games were held in the past and
think that we have good players but
whatever
curiously despite this apparent
complexity
the game of leiria in game of 11 or
program a heron computer by
playing a cool game here is not like this
so great and not so great because
in one of the games they occur was not
understanding controlled cold one cable
in which there can not be many
situations but the situation is well
defined parts do not appear in the
appear on the red parts have appeared
the black and white games in the
important chess is when it is so
we have ways of programming almost
explicitly the behavior of the
computer
we’re really complicated when 100
days controlled environments games
and we’re going to the real world.
the actual hill condition that more
complicated because the rules of the game
are not known and changed there are things
We are going on that we were not to
wait but let’s take an example
imagine that we want to build a
computer program that recognized
pictures in easy sense photography only
we’ll have it in the coming years
fast and want to program as if it were
a cool game then we have a rule says
find yourself in the 10 white pixels
followed by 62 followed by another 10 pixels
because it is probably a
good birth in the eye after it had
more other things in something red here
nor does it see that, on its side,
people turn out to be a house
we can actually try to build a
program to know different loads
rules
we had most of them working because
picture is of the image instead of being a
image of a person with different
images the zeroing side already start to
see how it would not be anything about a
The shadow of the image already arrived the osasco
rule or is the person for example can
there could be a red light or
a very strong light to change
those things were not waiting for us
was to program systems that
interact with the real world
we have an approximation there
entirely different instead of the program
on the computer with explicit rules of
who wants to do whatever he wants to look for in the
In case of this program on the computer, I
themselves to look for the rules
to perform a task, ie the computer
ends up gaining a finished capacity
by having a learning ability
is and how does this work the way it seems
enough to the technician and sometimes I can
but the basic principle is
fairly simple main issues
who wants to teach how to use a task
for example in being immune face
in graphics that what we do is
French
Examples of computer photographs
my face presses example pictures in
that my face in the presence of the square
objects or other houses appear
while not making ends meet
patterns meet geometric shapes
colors with those of colors do not have says
explicitly that you will try to look for
these possibilities a more or
less optimized and with this thing of
that identifies the cassette
patterns in the images that look like my
and these plans will not be
present in images in which no
appears my face told
I actually managed to find these
because it is not easy to build
a rule about standards
this partnership with our partner of
known to the pixies that seems to tell me
He is not from here, he is partner of the corner.
in the middle and this is one of the problems
learn rules is a pretty leap
great in addressing problems
most serious in the real world is because
allows us to build programs that
it would be impossible to build if we
explicitly say which
were the rules of discussion of this
problem
much of what is sometimes 107 9
we’ve heard the standalone car
that you spoke with us is not
the themes are the themes are all
system and all these great victories
we are now seeing that they are
to go around is to give a shape
draw its existence this
capacity is tolerable part of this
systems or parts of systems are
scheduled
through this form of learning
are explicitly programmed
programmed by learning if so
on the two employees
Are we here that I have a
machine that will start learning the
use of this grimi media
I learned that I was super-intelligent
slaves goes from boy loom
It will happen but it will not be
Now that I’m going to rest, it’s going to last a lot.
years because in reality these
all those things that the contact
the whole story
all these capabilities are what
there are indeed huge
limitations on these bids and all
the goals that exist will need to remove
all in favor of actions
let’s talk essentially two
limitations and nutrition have to do with
exactly with this form of
learning computers learn to
use a specific task
I mean how do you want to go home to us?
taught the 11 when he learned to
play pantanal chess as it is part of
its capital
that computer that I win kasparov
is not able to be a child play
the game in the same way totally
different completely ready
we are able to do something that
we all have until now try
shopping schedule did not want to be
able to do this in the game a thing
we are passing very well and
transfer knowledge or be we
we learn from a task not only this
task is in a series of other
precise tasks
we learned very quickly by
Because of this we do not see purchases
pity almost always from scratch
Ok it matters that I have to learn to
be punished with those as if they did not know
nothing nothing because you know nothing you have to see
many examples and is not always easy
it is not always easy to give examples
millions of trees thousands of ever
It’s difficult for us to give this
example where the rather
quite large and there is a lot of work to
being done in this area is alencar
Started working
it is a law that is developing if
very quickly but we have and also
people that these things hand
September will take many years to
we got close to
ability to learn
limitation that I do not think I’m even more
interesting I think even more so than
quite revealing of the difference
there are even between central and in poses
artificial
this is so do what you want
as the bodies are going to have each
more capacity there has to be more
can see can talk not want
that they have more capacity
computers also feel more
people’s processing capacity
this is something people like
I really like the electric power
a lot of electric energy through the
scale
these things do what they want with the
idea of the scale we are deconstructing one
computer that has, so to speak, a
comparable capacity with the brain
human
We ‘re going to do it, we’ll want it.
transmit to a human being that the
number of connections within the
from our head
I only know how I got a computer case
the number of connections in the
our head and 100% because we share
of functions that we – performance has
to do with the number of calls that
it’s in our head I do not know if I’m going
do that
we built a machine that
If I were also from paulo, I would be able to
electricity equivalent to a city of
30 to 40 thousand people
with the current technology this machine
would consume as much energy as a
30 40 thousand people to stay
with compression is also the
brain is in its fullness
while developing the theory
of relativity was childish
even though the sea when I was writing
on the mural of the convent to spend and sweat and
I will value myself as they are.
to spend at this point in developing the
my part that is exactly the same
issue though 2011
half a million all 500 thousand times less
half a million times – that he quotes
santinha to face the machinery for
this is what a type machine is
terminator
this machine can only exist
science fiction
Because I have a central court.
nuclear rather than the heart and always
steal or what would happen that
in a few minutes or a few hours of
accompanying them to end and there
many other things are on the threshold of
science fiction because it’s good
things is not on the threshold of fiction
and want to walk around because the
machines have yet to understand
lived the place in us we have
machines that can now perceive
words do not get your people
but can perceive with less votes
Yes, but it gave way to something
complicated but could not confirm
We certainly do not understand the
language that we can not put
our easy language we know
But we need the point of view
development of the life of the earth
one wants to walk with a halter
language of our language arose is
being that for a very short time in the
history of lives and demanded about
500 million years after a
capacity of the vision and the
language to be much later than
view
This is for home, it’s fundamentally
complex we do not know how it is
which it is still much that is not
science fiction that accelerate what
is the one we have surpassed
protective barrier but now we
machines can teach environments
You can see we can
identify soon people can
identify sounds this way
we actually got
overcome we are able to improve
this is great because it also allows
to do one thing very much of the saints
automate processes were
are essentially limited and want to pass
machines will have to absorb
environmental information and to many
let’s give an example imagine that
We built a machine to
to be able to identify them
people can explore all the trash
that we produce
automatically the steam almost
another goes to composting for
to invest those piles of garbage that
hide underneath mountains we have
a machine that we expected everything
i is is why I am quite
optimistic about both optimistic about what is
this not all artificial people
surreal because I think there are many
limitations that it wanted the
people imagine that the most
are also increasing.
very optimistic and I think we ‘re going
announce the important thing is good let’s go
build something that will change our
lives, personal, for the better
but before ending the Sabbath
state that it is a challenge to suture
so 30 seconds to calculate your
with this robot robot belt that is the
your percentage almost always with
alcohol is the percentage of time you
happens in our lives is to perform
tasks thought first stretches
they do not give us pleasure
the teacher what I’m not
so complicated to do and that
cavam take a long time is
such as reducing data in the
computer
perhaps lead perhaps because of the
clothes then the machine was
totally continent that tries to imagine
our day to day and how much of yours and there
what is the percentage of empty time
I can say with these tasks são paulo
I will now rise to calculate met
the hand
we spend is to talk to other
people trying other centers
Urban even imagine what goes
between human being has to be with their
chances your aspirations
their fears or are tasks in which
you are imagining things that are not
Further in the future there is the
same thing of the future to create or have these
that you have to use is all the
our senses not only aiming at
helps neighbors but also there
the fact that hundreds of sensors
we have our honey or even use ours
goal for this fantastic do this
this is your coefficients the boy
Japanese 400 thousand / month time
more called the mind if by chance
come to the conclusion that your
Robot knowledge is super close to
your human knowledge
I do not think it’s strange, there’s a lot of people there.
also
sometimes disabilities build
machines that behave as beings
humans are very good at programming or
least complete the minutes for
this beginning to a difference is that
contrary to northeastern robots
we can stop the problem
Whenever we want, we’ll decide our
next step is to invest in the future.
it is important not abdicate this
law aside that there was burning of human being
[Applause]
”
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