[Music]
except tonight
who of you if I get to the end and
did not hear about progress
dazzling intelligence
artificial during they have there the
week that just happened
who did not hear about
artificial intelligence people
a person it’s true that
artificial intelligence is in the process
to make dramatic progress
she is reversing the worsened
human you know it you read it all
days in the newspapers
hurry written the television press we
will soon be surrounded by cars
2020 2021
we are surrounded by robots that are going
take our work in a year or two
it’s been 35 years since I was in the
field of artificial intelligence
it does not make me younger and what
I see most of the time these are either
donkey that uses old
technologies to try to solve
problems that actually becomes
more and more complex or so what
which is more and more likely
today unicorns
yes it still exists I have them
photographed between martigny and monthey
a unicorn couple
we meet every day in the
newspapers in the media promises
autonomous cars the robots that
will take our business
the automatic server the end of the
human empire 50
it’s been over fifty years that we
say this that we predict the end of
the human worse at the bottom the story of
artificial intelligence has begun
end of the second world war
1944 the father of intelligence
artificial
alan turing was the first one basically to
use a computer to decode the
the German submarine code
German
enigma he was the first to have
the idea of using a computer or
several computers
to replace what 250 scientists
could not have done in 150 years to
decrypt this famous code that allowed to
win the second world war
the puzzles code to the computer series
that he was using at the time is largely
inferior to the capabilities of what one
has today in the cell phone
it’s been fifty years since we invented
artificial intelligence is the
only transparent that will be a tiny
little technical and still it is not
very technical but alan turing to one in
has already spoken a little bit about having defined
this turing test that explains
exactly how defines to
artificial intelligence good must in
big we can represent intelligence
in the broad sense with
two big circles on the left that of
the human all that the human can do
and that the machine difficult to do and to
right what the machine does is that
the human is harder to do more
the intersection between the two circles
will grant will be great more we we
will lead to an intelligence
artificial final that will be able to
take on the world the machine is very
good for statistics the math I
you fail chess play gault
we could play belote
we could play it bridge and
will eventually win everything that is
systematic the extraordinary machine
on the other hand, the human has abilities that
the computer does not have and will have no
never doubt empathy the communication
abstraction the understanding the
social communication but it does not take
forget that the human is very bad
in certain characteristics
for example the calculation of priorities a
human is very bad a calculation of
correlations
we all experienced the syndrome that I call
Pregnant woman syndrome
once your wife is pregnant
you have the impression to meet
many more pregnant women in
the roads finger the dangers in the
city if you have your neighbor who
got robbed you have a
very strong feeling that has a shortage
very important burglary why
because the human is very bad at
extract information at the level
statistical
there is also the turing test that one
should continue to do and which one
should talk that makes it possible to decide
it’s a machine with capabilities
human or not we put a machine
behind a curtain
finally we put a machine is a man and
on the other side at the magnum a man who
try to ask questions to the
machine or to the man and must decide if
the machine is as good as the man
in a series of questions at the day
present-day
since the definition of intelligence
artificial in 1945 there is not a
only intelligent system on the planet
who passed the first turing test
50 years is what is needed on average
to predict something in the future
today it is moving very fast
if you read in the journal this
would be a start up in two years the
autonomous cars will appear in
two years we will be able to do this
in three years it’s wrong if these cases
possible to do it in two years that’s
does tomorrow morning who remembers this
film 2001 the space odyssey
I speak to older people
maybe it’s the 50th birthday 50
fifty years old one of this film
2001 the space odyssey
written by stanley kubrick for the
first time and maybe the only time
in collaboration with one of the big
scientists in intelligence
artificial
marvin minsky who died ago
a few years
the hated jam they go to me this scenario
together 2001 space odyssey
it is interesting to see this film
to try to draw the conclusions
we are writing a book where we
sees everything that was predicted by
marvin minsky the pope of intelligence
Artificial in 1968 in the external
kubrick who is not bad in his
kind no longer watched the movie I you
invite to see him again
none without exception from
predictions that had been done in 1968
computers that were made
recognize the word they
recognize them the wrinkling face
bed on saliva lips for these
people who have seen the movie who is
sweet and emotional
remember when we unplug the
taken from the computer how much they
suffer before dying and his lands
and his journeys the computers are
always huge in a room with
magnetic tapes
they missed the tablet completely
they completely missed the screens at
colors they always use big
huge screen in black and white and that’s
so everything that was planned says nothing
which was taken it happened and everything
what was not prevented was
arrived 1990
george bush said I was still
young at the time we were proud to wear
the pin’s the decade indicated of the brain
we were in conferences
artificial intelligence bush has
stated that 1990 would be the decalade says
kate decade of the brain and invested 5
billion dol a japanese have nested
the other five billion and the
Europeans came as usual
much later but new
a few billion dollars
or euros
of dycker and of the brain 1990 2000 2010
you can search on the internet it is
free now this book 2010
a mighty scientist wrote a
book called dickey told everything
kate of the brain
I invite you to read it he pulls them
conclusions of this investment
monumental in artificial intelligence
there are two big discoveries that are
explained in the book the first
it’s the decoding of the human genome that
my opinion has nothing to do directly and
the brain and the second discovery
thanks to the confreres the understanding of
human brain
we discovered a new pill a
new antidepressant drug
this one I can understand it
well 50 years old based on my little
experience in the field of 35 years in
artificial intelligence
I know and a lot of scientists the
know very well that to predict the
journalists often ask me because
that mister boulaire can you
predict what will become of our
cell phone in five years
what will become of this if in five years in
ten years old I answer them I believe that
someone said before me I do not know
it’s almost impossible to predict
what will be in five years in ten
years because by experience I know
now I know that to predict
what will happen in five years he
must be able to look
extrapolated over the last 50 years
developments are going so fast
that we have to look at 50 years to
know what will happen on the
next five years it’s very
difficult to extrapolate over 50 years ago
fifty years there would be no
cellphone
so when I am told where will be our
cell phone in five years I say
maybe we will not have any more
maybe phone like that it’s not
a joke
you have to be bold in life
especially when we talk about intelligence
artificial and that we have the ambition to
reverse the human empirry last thing
alan turing already in 1945 said some
very important thing I could
bounce back on the video that we saw
before the break which showed us that at
how much could we follow
people to recognize cats and
dogs and knows how to recognize is not
understand recognize is not
understand today in switzerland if one
can indeed we can recognize well
little more than a cradle of people
who walk a cat a dog one can
recognize the lizards one can
recognize the balloons the pebbles on
the way the leaves there my last
conference someone asked me is this
that you could if we have cars
standalone is what you could
recognize a kangaroo if ever there
had a kangaroo extra yes we can
recognize a kangaroo
the answer she’s very simple we do not
does not do magic here it all comes from
big data which everyone is talking about if
you give me enough examples
of different breed dog cats
different examples kangaroo elk
of koala et cetera I can all
recognize
I do not say we’ll do it in two
years we can do it today
today we can do we can
recognize cats from pebbles
leaves of pedestrians have children of
wheelchairs etc etc
pedestrian crossings you can
recognize cars all that
we want but recognize does not want
to say that we understood to recognize at most
recognize I can recognize that I
can almost count all
people who has in the room here I
can recognize everything that’s going on
home if you only do
recognize you will not go very far
an autonomous car that only makes
recognize she will not be autonomous
very long time I guarantee it
but even if you recognize everything
that there is around the car until the
dead leaf and a nail commented this
that the car to know that it can
rolling on the dead leaf but she
better avoid the nail but that
the pebble will depend on the size of the
pebble how do we know everything
that if I ‘m in Friborg today my
left foot were also in Friborg
it’s understanding it’s
common meaning
if I take this I knock him down
sometimes I experience in your
real does not want to do it here I take
this I overthrow
it’s a small remote controller on
reverses and always a remote control
I take a pen I knock down and
always a pen I take a drink
of water filled with water I knock him over
it’s more a glass of water it’s a glass
water
okay it’s understanding it’s okay
well beyond recognition
understand and there we are nowhere
while we inject billions for
recognize a person and a dog and
the breed of dogs and kangaroos
we do not understand what’s going on and
artificial intelligence will need
of that then since we want
predictions recognize t0 anyone who
tell you it will be done in two years it
must not believe it will not be done in
that sense and does today if he will
said it will be done in 50 years iman he
hope you’ll be dead say they to
to convince
you want predictions understand
in 50 years including ok concors 50 years
third point even if we come to
understand the scenes and there I go
complete my presentation what is lying
as a third point that is
fundamental before the robots
invade the planet
social interactions
the human is a social beast
communicate when talking about car
could not I could take
anytime she wants in particular
talk about it for two hours but
take the cars since someone
tackle the problem before – a car
autonomous
not only must we recognize everything
what is around you hoping that
we still know how to do it when she
snow when it was raining so it was amazon
or google they’ve already killed two
people in the desert where there will be
almost no chance to meet at
kyoto and for the blue the pedestrian who
had they created they all succeeded
to kill him well so that to the body
recognize a few years ago says
sion in Switzerland there is a sign for
educate the cars
motorists on the highway I know
not if you remember some of us
say there were just two old on
the panel i think it was the tcs
or the red cross
dieuze
two eyes and one sentence follow the look
no but it’s the most awesome sign
I have never seen but it’s followed
what did that mean
much longer than a flashers etc
you see a pedestrian crossing even
if he’s not on the move for
pedestrians you look at yourself quickly
in the eyes the pedestrian is that you
have seen it and you’ve seen it it’s
just the autonomous car is the
recognizes tracks and passages
for pedestrians and pedestrians and it was
says you have to let the pedestrian
the pedestrian crossing
what is she going to do the car
it’s the pedestrian is not on the way
pedestrian social interactions
that’s what we do today it’s
very important I think I’m going in
to stay there I would still have two
minutes but I could I
I want to continue I will continue I
will give you another example
but before that I will give my cock
then I would add another sentence or
two when I hear about the end
williams and koné left the end of the race
human there they will go away kill us
all our jobs
there was once we heard that before
hello the 2018 it’s in 1946 is a
phenomenal invention that to multiply the
production by a factor of 10 productions
waste to his own it must be believed that
capitalism that ‘s bad too but
you have to know it but some boxes
who multiplied the production is there
so consumption by a factor of 10
everyone shouted at the end of
mankind
and there it was going to kill jokes of
work these two minutes 35
the only service will remind you of the only
services that came from america
it killed all the small shops etc
but it created a lot of markets that
business next door a lot I do not say
it was good but it did not kill everything
the world all axes archamps I have a
little model the brother the context
commercial
okay 2:04
I will draw my conclusion if you
I’m a scientist so I
will ask you not to be
technophobes it would be a mistake to be
technophobes do not be afraid of
technologies do not be afraid of what we
no doubt tells you you are going through
newspapers it’s great what’s going on
it’s exciting and we’re going to go more
further and faster and faster
but do not be
technophiles and do not buy everything
that you read in the newspapers one is
far from meeting robots that are going
run after you they’re going to play at
soccer
against a team of humans far away I
you guarantee it rest you look
the work of scientists
all is well rd for the avs
[Applause]
[Music]
except tonight
who of you if I get to the end and
did not hear about progress
dazzling intelligence
artificial during they have there the
week that just happened
who did not hear about
artificial intelligence people
a person it’s true that
artificial intelligence is in the process
to make dramatic progress
she is reversing the worsened
human you know it you read it all
days in the newspapers
hurry written the television press we
will soon be surrounded by cars
2020 2021
we are surrounded by robots that are going
take our work in a year or two
it’s been 35 years since I was in the
field of artificial intelligence
it does not make me younger and what
I see most of the time these are either
donkey that uses old
technologies to try to solve
problems that actually becomes
more and more complex or so what
which is more and more likely
today unicorns
yes it still exists I have them
photographed between martigny and monthey
a unicorn couple
we meet every day in the
newspapers in the media promises
autonomous cars the robots that
will take our business
the automatic server the end of the
human empire 50
it’s been over fifty years that we
say this that we predict the end of
the human worse at the bottom the story of
artificial intelligence has begun
end of the second world war
1944 the father of intelligence
artificial
alan turing was the first one basically to
use a computer to decode the
the German submarine code
German
enigma he was the first to have
the idea of using a computer or
several computers
to replace what 250 scientists
could not have done in 150 years to
decrypt this famous code that allowed to
win the second world war
the puzzles code to the computer series
that he was using at the time is largely
inferior to the capabilities of what one
has today in the cell phone
it’s been fifty years since we invented
artificial intelligence is the
only transparent that will be a tiny
little technical and still it is not
very technical but alan turing to one in
has already spoken a little bit about having defined
this turing test that explains
exactly how defines to
artificial intelligence good must in
big we can represent intelligence
in the broad sense with
two big circles on the left that of
the human all that the human can do
and that the machine difficult to do and to
right what the machine does is that
the human is harder to do more
the intersection between the two circles
will grant will be great more we we
will lead to an intelligence
artificial final that will be able to
take on the world the machine is very
good for statistics the math I
you fail chess play gault
we could play belote
we could play it bridge and
will eventually win everything that is
systematic the extraordinary machine
on the other hand, the human has abilities that
the computer does not have and will have no
never doubt empathy the communication
abstraction the understanding the
social communication but it does not take
forget that the human is very bad
in certain characteristics
for example the calculation of priorities a
human is very bad a calculation of
correlations
we all experienced the syndrome that I call
Pregnant woman syndrome
once your wife is pregnant
you have the impression to meet
many more pregnant women in
the roads finger the dangers in the
city if you have your neighbor who
got robbed you have a
very strong feeling that has a shortage
very important burglary why
because the human is very bad at
extract information at the level
statistical
there is also the turing test that one
should continue to do and which one
should talk that makes it possible to decide
it’s a machine with capabilities
human or not we put a machine
behind a curtain
finally we put a machine is a man and
on the other side at the magnum a man who
try to ask questions to the
machine or to the man and must decide if
the machine is as good as the man
in a series of questions at the day
present-day
since the definition of intelligence
artificial in 1945 there is not a
only intelligent system on the planet
who passed the first turing test
50 years is what is needed on average
to predict something in the future
today it is moving very fast
if you read in the journal this
would be a start up in two years the
autonomous cars will appear in
two years we will be able to do this
in three years it’s wrong if these cases
possible to do it in two years that’s
does tomorrow morning who remembers this
film 2001 the space odyssey
I speak to older people
maybe it’s the 50th birthday 50
fifty years old one of this film
2001 the space odyssey
written by stanley kubrick for the
first time and maybe the only time
in collaboration with one of the big
scientists in intelligence
artificial
marvin minsky who died ago
a few years
the hated jam they go to me this scenario
together 2001 space odyssey
it is interesting to see this film
to try to draw the conclusions
we are writing a book where we
sees everything that was predicted by
marvin minsky the pope of intelligence
Artificial in 1968 in the external
kubrick who is not bad in his
kind no longer watched the movie I you
invite to see him again
none without exception from
predictions that had been done in 1968
computers that were made
recognize the word they
recognize them the wrinkling face
bed on saliva lips for these
people who have seen the movie who is
sweet and emotional
remember when we unplug the
taken from the computer how much they
suffer before dying and his lands
and his journeys the computers are
always huge in a room with
magnetic tapes
they missed the tablet completely
they completely missed the screens at
colors they always use big
huge screen in black and white and that’s
so everything that was planned says nothing
which was taken it happened and everything
what was not prevented was
arrived 1990
george bush said I was still
young at the time we were proud to wear
the pin’s the decade indicated of the brain
we were in conferences
artificial intelligence bush has
stated that 1990 would be the decalade says
kate decade of the brain and invested 5
billion dol a japanese have nested
the other five billion and the
Europeans came as usual
much later but new
a few billion dollars
or euros
of dycker and of the brain 1990 2000 2010
you can search on the internet it is
free now this book 2010
a mighty scientist wrote a
book called dickey told everything
kate of the brain
I invite you to read it he pulls them
conclusions of this investment
monumental in artificial intelligence
there are two big discoveries that are
explained in the book the first
it’s the decoding of the human genome that
my opinion has nothing to do directly and
the brain and the second discovery
thanks to the confreres the understanding of
human brain
we discovered a new pill a
new antidepressant drug
this one I can understand it
well 50 years old based on my little
experience in the field of 35 years in
artificial intelligence
I know and a lot of scientists the
know very well that to predict the
journalists often ask me because
that mister boulaire can you
predict what will become of our
cell phone in five years
what will become of this if in five years in
ten years old I answer them I believe that
someone said before me I do not know
it’s almost impossible to predict
what will be in five years in ten
years because by experience I know
now I know that to predict
what will happen in five years he
must be able to look
extrapolated over the last 50 years
developments are going so fast
that we have to look at 50 years to
know what will happen on the
next five years it’s very
difficult to extrapolate over 50 years ago
fifty years there would be no
cellphone
so when I am told where will be our
cell phone in five years I say
maybe we will not have any more
maybe phone like that it’s not
a joke
you have to be bold in life
especially when we talk about intelligence
artificial and that we have the ambition to
reverse the human empirry last thing
alan turing already in 1945 said some
very important thing I could
bounce back on the video that we saw
before the break which showed us that at
how much could we follow
people to recognize cats and
dogs and knows how to recognize is not
understand recognize is not
understand today in switzerland if one
can indeed we can recognize well
little more than a cradle of people
who walk a cat a dog one can
recognize the lizards one can
recognize the balloons the pebbles on
the way the leaves there my last
conference someone asked me is this
that you could if we have cars
standalone is what you could
recognize a kangaroo if ever there
had a kangaroo extra yes we can
recognize a kangaroo
the answer she’s very simple we do not
does not do magic here it all comes from
big data which everyone is talking about if
you give me enough examples
of different breed dog cats
different examples kangaroo elk
of koala et cetera I can all
recognize
I do not say we’ll do it in two
years we can do it today
today we can do we can
recognize cats from pebbles
leaves of pedestrians have children of
wheelchairs etc etc
pedestrian crossings you can
recognize cars all that
we want but recognize does not want
to say that we understood to recognize at most
recognize I can recognize that I
can almost count all
people who has in the room here I
can recognize everything that’s going on
home if you only do
recognize you will not go very far
an autonomous car that only makes
recognize she will not be autonomous
very long time I guarantee it
but even if you recognize everything
that there is around the car until the
dead leaf and a nail commented this
that the car to know that it can
rolling on the dead leaf but she
better avoid the nail but that
the pebble will depend on the size of the
pebble how do we know everything
that if I ‘m in Friborg today my
left foot were also in Friborg
it’s understanding it’s
common meaning
if I take this I knock him down
sometimes I experience in your
real does not want to do it here I take
this I overthrow
it’s a small remote controller on
reverses and always a remote control
I take a pen I knock down and
always a pen I take a drink
of water filled with water I knock him over
it’s more a glass of water it’s a glass
water
okay it’s understanding it’s okay
well beyond recognition
understand and there we are nowhere
while we inject billions for
recognize a person and a dog and
the breed of dogs and kangaroos
we do not understand what’s going on and
artificial intelligence will need
of that then since we want
predictions recognize t0 anyone who
tell you it will be done in two years it
must not believe it will not be done in
that sense and does today if he will
said it will be done in 50 years iman he
hope you’ll be dead say they to
to convince
you want predictions understand
in 50 years including ok concors 50 years
third point even if we come to
understand the scenes and there I go
complete my presentation what is lying
as a third point that is
fundamental before the robots
invade the planet
social interactions
the human is a social beast
communicate when talking about car
could not I could take
anytime she wants in particular
talk about it for two hours but
take the cars since someone
tackle the problem before – a car
autonomous
not only must we recognize everything
what is around you hoping that
we still know how to do it when she
snow when it was raining so it was amazon
or google they’ve already killed two
people in the desert where there will be
almost no chance to meet at
kyoto and for the blue the pedestrian who
had they created they all succeeded
to kill him well so that to the body
recognize a few years ago says
sion in Switzerland there is a sign for
educate the cars
motorists on the highway I know
not if you remember some of us
say there were just two old on
the panel i think it was the tcs
or the red cross
dieuze
two eyes and one sentence follow the look
no but it’s the most awesome sign
I have never seen but it’s followed
what did that mean
much longer than a flashers etc
you see a pedestrian crossing even
if he’s not on the move for
pedestrians you look at yourself quickly
in the eyes the pedestrian is that you
have seen it and you’ve seen it it’s
just the autonomous car is the
recognizes tracks and passages
for pedestrians and pedestrians and it was
says you have to let the pedestrian
the pedestrian crossing
what is she going to do the car
it’s the pedestrian is not on the way
pedestrian social interactions
that’s what we do today it’s
very important I think I’m going in
to stay there I would still have two
minutes but I could I
I want to continue I will continue I
will give you another example
but before that I will give my cock
then I would add another sentence or
two when I hear about the end
williams and koné left the end of the race
human there they will go away kill us
all our jobs
there was once we heard that before
hello the 2018 it’s in 1946 is a
phenomenal invention that to multiply the
production by a factor of 10 productions
waste to his own it must be believed that
capitalism that ‘s bad too but
you have to know it but some boxes
who multiplied the production is there
so consumption by a factor of 10
everyone shouted at the end of
mankind
and there it was going to kill jokes of
work these two minutes 35
the only service will remind you of the only
services that came from america
it killed all the small shops etc
but it created a lot of markets that
business next door a lot I do not say
it was good but it did not kill everything
the world all axes archamps I have a
little model the brother the context
commercial
okay 2:04
I will draw my conclusion if you
I’m a scientist so I
will ask you not to be
technophobes it would be a mistake to be
technophobes do not be afraid of
technologies do not be afraid of what we
no doubt tells you you are going through
newspapers it’s great what’s going on
it’s exciting and we’re going to go more
further and faster and faster
but do not be
technophiles and do not buy everything
that you read in the newspapers one is
far from meeting robots that are going
run after you they’re going to play at
soccer
against a team of humans far away I
you guarantee it rest you look
the work of scientists
all is well rd for the avs
[Applause]
[Music]
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