[Music]
on the 14th of february 2014 I wait for the day
became a father for the first time
Of course, I had many books too
read the topic and was not
what it all prepared for
challenges
nevertheless, my wife and me
our daughter had daily songs in
put the stroller and are despite
run over the adverse wetters out there
day in day out
when I said one day about a woman
them I have the feeling there are
everywhere babies of course laughed at me
my wife and said that’s just
subjective perception on the one hand the
So went back and forth days until the
day came to which I said
Enough is enough what makes a third
page is in such a situation
deals with the data related to this
So there is theme so i have this report
which shows again share of
newborn per community in our
beautiful country presents itself
of course that’s just a possibility
to decide an argument for yourself
but as luck would have it shows
this report that the lokation at the
we actually lived a higher one
Density of newborn had thus let
say one more time
my absolute favorite sayings this
data
that had a lot already before
smarter head called temming said that
namely his mark said witthaut
Data users return to depression
nominate
meanwhile my wife has that too
internalizes the problem with data
even if they are a lot of fun
anecdotes bring but is the following
per day are two and a half worldwide
exabytes new records generates two
half exabytes that’s two and a half
billion gigabytes
There are about 78 million smartphones
With 32GB of memory so much time around that
I myself do not have to analyze
more
despite my friends the problem is
but not just related to me but
a relative new study has revealed
that the average company
world just one percent their
analyze data
Imagine that potentially something
fallow is in the remaining 99 percent
the data to maybe an argument with
to win the woman or maybe
to beat more profit in the business
right here is the sweet spot of
artificial intelligence and why me
believe that we have artificial intelligence
need and use for us
briefly summarized or simplified
said artificial intelligence is the
idea self-learning computer systems too
generate self-learning wants to mean that
not me from the programmer
intelligence explicitly write but
that the program is the intelligence
can own
if we briefly look at which three
ingredients to needed are then it looks
so that we on the one hand the data
we need lots of what we have
have seen each other then needs the
computer performance the computing power
to count on these problems
and it takes time at the end of the day
mathematical algorithms which the
patterns that are in the data
bring the surface and then just
create new knowledge what is
is exciting is like the whole
works a bit behind the way
scenes if you like that he wants that one
picture of my daughter
I’m four years old now
about 200 pictures of similar nature
found it pretty easy
instead of course you realize that
not only the city but the one you
She is learning to gather data in
this moment visually and learn something
and then there’s those moments as the
here on the next picture where we are then
see how little has been watching me
as i sit at my desk e
Write mails and in a conference
call wind and she does that and
Artificial intelligence works
actually practically the same I collect
data about a fact and to
We know this fact because the
Data from the past come to
exit and try this pattern the
then to bring to the surface for
to learn the future
the concept of artificial
intelligence that saves or knows
a little over 60 years has been on the
ominous data gathering 19 650
In the wake of it invented there were a few
very exciting and playful
examples of artificial intelligence
Applications 19 97 is that too
the first time that i joined it
can remember
there was this deepblue chess computer
he did the chess legend
Garri Kasparov beat that was
just Kaspar for those who no longer
know this as something like michael jordan im
basketball or like roger federer im
tennis
He has managed to this people
suggest that was an incredible
moment in history artificial
intelligence a few more examples
followed in 2001 wins the ominous
watson computer a charity 2015 is out there
the first time a system which creates
to look at millions of pictures and in
to recognize objects with these images
a low error rate than all of us
in this room could do that
finally 2016
the alfa big computer that that
theme of artificial intelligence in one
new sphere hurled this computer
she made the legend she lisa
to beat the ball in four games and co
need to board is one is
also one
a board game a tactical board game
bcsc very many possibilities a lot much
more than is possible in chess and
what happens later that shows
bit the pace or the
speed with which we are in
move this field technically
a few months later came a new one
version of this system called alpha
fund zero which then the predecessor
Defeated 100 to 0 has meaning 100
Sometimes the new system is against the old one
system played against the
people already won and that
new system has the old system 100 to 0
beaten and a few
months later I would like to thank you
a few are once less playful
more practical examples from the
field of application artificial intelligence
show on the one hand there are applications
where we are driven by artificial
intelligence in radiology healthy
can differ from diseased tissue
I do not know if any of them already
once made a name and what
similar things are actually there hundreds
Photos of a made and a radiologist
then know manually through these photos
go through and and and the tumor or
whatever identify
Here is the use of artificial
intelligence insofar exciting from that
the algorithms behind it never tire
and the radiologist actually
more productive one in his work
another system that one of my
favorite examples
they should all have already heard
that the population of the world is steady
increases
what I have become so important recently
it has been proven that all the people are the
also live on this planet earth
provided that for quite hungry the
in the future it will be like that
before we perform it around 2050
the 70 percent more food
will need what the question
places where should these foods from
come and here are approaches again
the data is tributary driven
decisions with the idea farms
computer and there
Being able to work more efficiently, that is
the same area we have today
cheaper to farm
and higher income to achieve that
all in the future to eat enough
have that another example of that
what me in which they specialize
call artificial intelligence
specialized because all the systems of
which I briefly told them
one purpose only meet the also it
the chess computer was designed by
could only play chess
the system can only play well i can
I do not need any of these systems
an umbrella tomorrow how will that be
Weather
that is specialized cry and that is
So a bit of the technology
today if we look at the
the challenges want to topple the
bringing systems with itself
those are two of them
reasoning too formally riesling as well
abstraction funny are the two
Examples where I have pictures of
we have found my younger son
actually these properties
appropriates if you like
Let’s start by arguing them
see him here while the house is ringing
So a door opener, to be specific, expresses
because he has always heard when his
grandfather who lovingly calls the little one
she is half
He is still learning to speak the he
lovingly everyone takes each time we do
then he rings then he can there
push and there comes in what he is
not yet learned is that this
relationship only in one direction
so i have them working
this photo we caught in the evening shortly
This is also true of the bed time
small has all pressed and
said those who there and of course
hoped that the grandfather
would come over
in the example on the right we see abstraction
she’s the little nino with buns in the
hand that and believe me i have it
Counted over 100 times on the ground
he threw the same with him
but has someday
he understood that when you have an object
takes us from the table that is then
Soil falls off and this property
a specific example general
derive properties
that is the art of abstraction and
a property the sales systems
Here is difficult for us humans
actually learn another problem of
artificial intelligence system what here
pictured is pictured with
the cage over the head is the problem
of the bios if you have a
want to develop an application for that
buying behavior of their customers too
Predict how you are around
then need specialized ki system
the right data for you if yours
Scouting male and female
between 0 and 100 years is then enough
it is not the data to have
only men between 20 and 30
then they have a so-called best days
which will lead to you too
kali system has a bass and not
very strong prognosis should come
such an example which recently in
The press is posing in everyone
a man playing basketball
For example, I think the car was me too
that violent games and that was about it
that a basketball robot gives the
obviously much closer to meeting the body
can
as the best basketball player of the
Of course a lot of things are also much
more accurate than I could or ever
That was not really possible
Surprising we think about that
michael jordan in the nineties
ominous free throw with closed
eyes in the playoff final and
After that, everyone could say that
because it’s a purely mechanical one
movement that does not mean exactly and
The free throw line is then there
an optimal trajectory of the ball and
if I do this movement a thousand times
I’m getting better at it
to meet
that’s exactly what this one does
basketball robot now it’s just like that
that basketball and dynamic game
I have to move people and not
just a robot or a player fix on
one point stands and the ball to the basket
and that’s a bit like that
the status quo if you are the subject
artificial intelligence on the robots
also bring in the robert of the world
that means we see a lot here
nice still the limitations of this
ominous basketball mocks he can not
can not look back and forth
where the player is and the ball
is better positioned to play
can be extremely good at repetitive
execute a task
Of course we will for this whole
to use this topic really positively
new rules and new laws are needed
I say but are consciously regulate and
laws not only to protect us
but also potentially for the future
protect systems
I myself believe that artificial
intelligence systems good again
bad i think they are in
this sense of being amoral if
It’s more like deciding what
We humans do with these systems
about what the system does then well
or bad
[Applause]
I would like to stop with a picture
because it’s kind of the state of the
present represents taken before
a few days in my place of residence
Schaffhausen that’s you, this little one
cute bus is the leader
and thus felt eight km / h through the
downtown drives
I think it’s a harbinger of what
expect us in the future and me
can tell you i am looking forward to it
this time because there is nothing
boring out of two and a half hours in the
Car driving on the highway only
straight forward I am looking forward to it if one
Part autonomous car the monotonous task
of driving for me
I am looking forward to it too if I am
no more 150 e-mails a day
must answer but if that is one
personal digital assistant for
can take over me
I’m looking forward to it when I think
Customer not 12 e mails back and forth
you have to send and you get a suitable one
appointment with him to find that
can happen automatically
I’m looking forward to that when the
idea and the value proposition of
Personalized medicine is there when I am
not from average patient
be looked at but when when
which we now have exactly mine
needs are tuned and so on
I want to love her audience on
words also to think about
what contribution can you make to the
Future in the living together an artificial one
intelligence I am safe in their
private everyone
business environment there are hundreds
of scenarios in the artificial
Intelligence to improve the place
could
I myself am looking forward to this time
What this image symbolizes here
should
I think the future will be like that
look like artificial
have intelligence systems
whether that on a one giant robot
drive around or not is an open question
but I think the systems are here
be there and support us in the
hire that we almost can not
However, this specialized system is very
well they can be there and under
the poor ones might grab us in the
to help everyday life when we are upset
us in the age of daily conversations
to live so that we do not
extend speak and so on and
immediately
this is the future i see and then until
stephen hawkings said so nicely
intelligence is diabetic dapd change
and I think that should be the same
mindset of us all
in the topic artificial intelligence best
thanks
[Music]
[Applause]
[Music]
on the 14th of february 2014 I wait for the day
became a father for the first time
Of course, I had many books too
read the topic and was not
what it all prepared for
challenges
nevertheless, my wife and me
our daughter had daily songs in
put the stroller and are despite
run over the adverse wetters out there
day in day out
when I said one day about a woman
them I have the feeling there are
everywhere babies of course laughed at me
my wife and said that’s just
subjective perception on the one hand the
So went back and forth days until the
day came to which I said
Enough is enough what makes a third
page is in such a situation
deals with the data related to this
So there is theme so i have this report
which shows again share of
newborn per community in our
beautiful country presents itself
of course that’s just a possibility
to decide an argument for yourself
but as luck would have it shows
this report that the lokation at the
we actually lived a higher one
Density of newborn had thus let
say one more time
my absolute favorite sayings this
data
that had a lot already before
smarter head called temming said that
namely his mark said witthaut
Data users return to depression
nominate
meanwhile my wife has that too
internalizes the problem with data
even if they are a lot of fun
anecdotes bring but is the following
per day are two and a half worldwide
exabytes new records generates two
half exabytes that’s two and a half
billion gigabytes
There are about 78 million smartphones
With 32GB of memory so much time around that
I myself do not have to analyze
more
despite my friends the problem is
but not just related to me but
a relative new study has revealed
that the average company
world just one percent their
analyze data
Imagine that potentially something
fallow is in the remaining 99 percent
the data to maybe an argument with
to win the woman or maybe
to beat more profit in the business
right here is the sweet spot of
artificial intelligence and why me
believe that we have artificial intelligence
need and use for us
briefly summarized or simplified
said artificial intelligence is the
idea self-learning computer systems too
generate self-learning wants to mean that
not me from the programmer
intelligence explicitly write but
that the program is the intelligence
can own
if we briefly look at which three
ingredients to needed are then it looks
so that we on the one hand the data
we need lots of what we have
have seen each other then needs the
computer performance the computing power
to count on these problems
and it takes time at the end of the day
mathematical algorithms which the
patterns that are in the data
bring the surface and then just
create new knowledge what is
is exciting is like the whole
works a bit behind the way
scenes if you like that he wants that one
picture of my daughter
I’m four years old now
about 200 pictures of similar nature
found it pretty easy
instead of course you realize that
not only the city but the one you
She is learning to gather data in
this moment visually and learn something
and then there’s those moments as the
here on the next picture where we are then
see how little has been watching me
as i sit at my desk e
Write mails and in a conference
call wind and she does that and
Artificial intelligence works
actually practically the same I collect
data about a fact and to
We know this fact because the
Data from the past come to
exit and try this pattern the
then to bring to the surface for
to learn the future
the concept of artificial
intelligence that saves or knows
a little over 60 years has been on the
ominous data gathering 19 650
In the wake of it invented there were a few
very exciting and playful
examples of artificial intelligence
Applications 19 97 is that too
the first time that i joined it
can remember
there was this deepblue chess computer
he did the chess legend
Garri Kasparov beat that was
just Kaspar for those who no longer
know this as something like michael jordan im
basketball or like roger federer im
tennis
He has managed to this people
suggest that was an incredible
moment in history artificial
intelligence a few more examples
followed in 2001 wins the ominous
watson computer a charity 2015 is out there
the first time a system which creates
to look at millions of pictures and in
to recognize objects with these images
a low error rate than all of us
in this room could do that
finally 2016
the alfa big computer that that
theme of artificial intelligence in one
new sphere hurled this computer
she made the legend she lisa
to beat the ball in four games and co
need to board is one is
also one
a board game a tactical board game
bcsc very many possibilities a lot much
more than is possible in chess and
what happens later that shows
bit the pace or the
speed with which we are in
move this field technically
a few months later came a new one
version of this system called alpha
fund zero which then the predecessor
Defeated 100 to 0 has meaning 100
Sometimes the new system is against the old one
system played against the
people already won and that
new system has the old system 100 to 0
beaten and a few
months later I would like to thank you
a few are once less playful
more practical examples from the
field of application artificial intelligence
show on the one hand there are applications
where we are driven by artificial
intelligence in radiology healthy
can differ from diseased tissue
I do not know if any of them already
once made a name and what
similar things are actually there hundreds
Photos of a made and a radiologist
then know manually through these photos
go through and and and the tumor or
whatever identify
Here is the use of artificial
intelligence insofar exciting from that
the algorithms behind it never tire
and the radiologist actually
more productive one in his work
another system that one of my
favorite examples
they should all have already heard
that the population of the world is steady
increases
what I have become so important recently
it has been proven that all the people are the
also live on this planet earth
provided that for quite hungry the
in the future it will be like that
before we perform it around 2050
the 70 percent more food
will need what the question
places where should these foods from
come and here are approaches again
the data is tributary driven
decisions with the idea farms
computer and there
Being able to work more efficiently, that is
the same area we have today
cheaper to farm
and higher income to achieve that
all in the future to eat enough
have that another example of that
what me in which they specialize
call artificial intelligence
specialized because all the systems of
which I briefly told them
one purpose only meet the also it
the chess computer was designed by
could only play chess
the system can only play well i can
I do not need any of these systems
an umbrella tomorrow how will that be
Weather
that is specialized cry and that is
So a bit of the technology
today if we look at the
the challenges want to topple the
bringing systems with itself
those are two of them
reasoning too formally riesling as well
abstraction funny are the two
Examples where I have pictures of
we have found my younger son
actually these properties
appropriates if you like
Let’s start by arguing them
see him here while the house is ringing
So a door opener, to be specific, expresses
because he has always heard when his
grandfather who lovingly calls the little one
she is half
He is still learning to speak the he
lovingly everyone takes each time we do
then he rings then he can there
push and there comes in what he is
not yet learned is that this
relationship only in one direction
so i have them working
this photo we caught in the evening shortly
This is also true of the bed time
small has all pressed and
said those who there and of course
hoped that the grandfather
would come over
in the example on the right we see abstraction
she’s the little nino with buns in the
hand that and believe me i have it
Counted over 100 times on the ground
he threw the same with him
but has someday
he understood that when you have an object
takes us from the table that is then
Soil falls off and this property
a specific example general
derive properties
that is the art of abstraction and
a property the sales systems
Here is difficult for us humans
actually learn another problem of
artificial intelligence system what here
pictured is pictured with
the cage over the head is the problem
of the bios if you have a
want to develop an application for that
buying behavior of their customers too
Predict how you are around
then need specialized ki system
the right data for you if yours
Scouting male and female
between 0 and 100 years is then enough
it is not the data to have
only men between 20 and 30
then they have a so-called best days
which will lead to you too
kali system has a bass and not
very strong prognosis should come
such an example which recently in
The press is posing in everyone
a man playing basketball
For example, I think the car was me too
that violent games and that was about it
that a basketball robot gives the
obviously much closer to meeting the body
can
as the best basketball player of the
Of course a lot of things are also much
more accurate than I could or ever
That was not really possible
Surprising we think about that
michael jordan in the nineties
ominous free throw with closed
eyes in the playoff final and
After that, everyone could say that
because it’s a purely mechanical one
movement that does not mean exactly and
The free throw line is then there
an optimal trajectory of the ball and
if I do this movement a thousand times
I’m getting better at it
to meet
that’s exactly what this one does
basketball robot now it’s just like that
that basketball and dynamic game
I have to move people and not
just a robot or a player fix on
one point stands and the ball to the basket
and that’s a bit like that
the status quo if you are the subject
artificial intelligence on the robots
also bring in the robert of the world
that means we see a lot here
nice still the limitations of this
ominous basketball mocks he can not
can not look back and forth
where the player is and the ball
is better positioned to play
can be extremely good at repetitive
execute a task
Of course we will for this whole
to use this topic really positively
new rules and new laws are needed
I say but are consciously regulate and
laws not only to protect us
but also potentially for the future
protect systems
I myself believe that artificial
intelligence systems good again
bad i think they are in
this sense of being amoral if
It’s more like deciding what
We humans do with these systems
about what the system does then well
or bad
[Applause]
I would like to stop with a picture
because it’s kind of the state of the
present represents taken before
a few days in my place of residence
Schaffhausen that’s you, this little one
cute bus is the leader
and thus felt eight km / h through the
downtown drives
I think it’s a harbinger of what
expect us in the future and me
can tell you i am looking forward to it
this time because there is nothing
boring out of two and a half hours in the
Car driving on the highway only
straight forward I am looking forward to it if one
Part autonomous car the monotonous task
of driving for me
I am looking forward to it too if I am
no more 150 e-mails a day
must answer but if that is one
personal digital assistant for
can take over me
I’m looking forward to it when I think
Customer not 12 e mails back and forth
you have to send and you get a suitable one
appointment with him to find that
can happen automatically
I’m looking forward to that when the
idea and the value proposition of
Personalized medicine is there when I am
not from average patient
be looked at but when when
which we now have exactly mine
needs are tuned and so on
I want to love her audience on
words also to think about
what contribution can you make to the
Future in the living together an artificial one
intelligence I am safe in their
private everyone
business environment there are hundreds
of scenarios in the artificial
Intelligence to improve the place
could
I myself am looking forward to this time
What this image symbolizes here
should
I think the future will be like that
look like artificial
have intelligence systems
whether that on a one giant robot
drive around or not is an open question
but I think the systems are here
be there and support us in the
hire that we almost can not
However, this specialized system is very
well they can be there and under
the poor ones might grab us in the
to help everyday life when we are upset
us in the age of daily conversations
to live so that we do not
extend speak and so on and
immediately
this is the future i see and then until
stephen hawkings said so nicely
intelligence is diabetic dapd change
and I think that should be the same
mindset of us all
in the topic artificial intelligence best
thanks
[Music]
[Applause]
[Music]
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