Cognitive explorations: matching the human mind | Annika Grosse | TEDxHamburgSalon

what I would like to do is to share with

what I would like to do is to share with you what I did in preparing for this

you what I did in preparing for this

you what I did in preparing for this event today so I have a 10 year old

event today so I have a 10 year old

event today so I have a 10 year old daughter and I was asking her the other

daughter and I was asking her the other

daughter and I was asking her the other day darling do you think computers can

day darling do you think computers can

day darling do you think computers can be creative because creativity seems to

be creative because creativity seems to

be creative because creativity seems to be the last little area that we can keep

be the last little area that we can keep

be the last little area that we can keep as humans where no computer can really

as humans where no computer can really

as humans where no computer can really do something like that and especially as

do something like that and especially as

do something like that and especially as we have looking to the coding the Vinci

we have looking to the coding the Vinci

we have looking to the coding the Vinci hackathon results so if there is a

hackathon results so if there is a

hackathon results so if there is a question can computers really be

question can computers really be

question can computers really be creative and my daughter straightaway

creative and my daughter straightaway

creative and my daughter straightaway said mom sure they can be creative but

said mom sure they can be creative but

said mom sure they can be creative but the question is do they really want to

the question is do they really want to

the question is do they really want to be creative and maybe I would need to

be creative and maybe I would need to

be creative and maybe I would need to help them to decide what they want to

help them to decide what they want to

help them to decide what they want to make and maybe for whom they want to

make and maybe for whom they want to

make and maybe for whom they want to make it and I think there is definitely

make it and I think there is definitely

make it and I think there is definitely some truth in that not that that my

some truth in that not that that my

some truth in that not that that my ten-year-old really has a full view of

ten-year-old really has a full view of

ten-year-old really has a full view of the world already but for me personally

the world already but for me personally

the world already but for me personally when dealing with artificial

when dealing with artificial

when dealing with artificial intelligence are very much like that

intelligence are very much like that

intelligence are very much like that augmented intelligence more because for

augmented intelligence more because for

augmented intelligence more because for me it is an act of co-creation to really

me it is an act of co-creation to really

me it is an act of co-creation to really bring value to our life and to our

bring value to our life and to our

bring value to our life and to our society and what I want to share is

society and what I want to share is

society and what I want to share is things that are a little bit outside my

things that are a little bit outside my

things that are a little bit outside my daily job where I’m a consultant working

daily job where I’m a consultant working

daily job where I’m a consultant working with doctors or organizations to making

with doctors or organizations to making

with doctors or organizations to making augmented intelligence work there but

augmented intelligence work there but

augmented intelligence work there but things that inspire me and that are in

things that inspire me and that are in

things that inspire me and that are in the field of creation and creativity so

the field of creation and creativity so

the field of creation and creativity so this is what I want to do and I start

this is what I want to do and I start

this is what I want to do and I start with this example so it is so you don’t

with this example so it is so you don’t

with this example so it is so you don’t have to think so I picked this song not

have to think so I picked this song not

have to think so I picked this song not easy however has anybody heard that song

easy however has anybody heard that song

easy however has anybody heard that song already so the song not easy is a

already so the song not easy is a

already so the song not easy is a special song and I didn’t pick it

special song and I didn’t pick it

special song and I didn’t pick it because it’s not easy to prepare for

because it’s not easy to prepare for

because it’s not easy to prepare for such an event like this of course not

such an event like this of course not

such an event like this of course not I used this because it is a very special

I used this because it is a very special

I used this because it is a very special song it was a song co-created and it is

song it was a song co-created and it is

song it was a song co-created and it is a cognitive song because a machine

a cognitive song because a machine

a cognitive song because a machine system was working collaborating with

system was working collaborating with

system was working collaborating with the artists and maybe some of you

the artists and maybe some of you

the artists and maybe some of you already noticed him

already noticed him

already noticed him it is the Grammy Award winner Alex Da

it is the Grammy Award winner Alex Da

it is the Grammy Award winner Alex Da Kid and he has been collaborating with

Kid and he has been collaborating with

Kid and he has been collaborating with this new intelligence system and let

this new intelligence system and let

this new intelligence system and let this work we can understand it and

this work we can understand it and

this work we can understand it and relate very impressive in culture

relate very impressive in culture

relate very impressive in culture Watson analyzed millions of lines of

Watson analyzed millions of lines of

Watson analyzed millions of lines of text Wikipedia articles and yell times

text Wikipedia articles and yell times

text Wikipedia articles and yell times from pages from social media blogs and

from pages from social media blogs and

from pages from social media blogs and Wallachia are defining the most prove a

Wallachia are defining the most prove a

Wallachia are defining the most prove a sense from spending covering the way or

sense from spending covering the way or

sense from spending covering the way or joke about blogs or finding the most

joke about blogs or finding the most

joke about blogs or finding the most pervasive Watson also analyzed the

pervasive Watson also analyzed the

pervasive Watson also analyzed the lyrics & composition for over 26,000 top

lyrics & composition for over 26,000 top

lyrics & composition for over 26,000 top 100 billboards Watson also analyzed

100 billboards Watson also analyzed

100 billboards Watson also analyzed covering hidden patterns in most song

covering hidden patterns in most song

covering hidden patterns in most song structure how about songs

it’s almost like having a million of

it’s almost like having a million of yourself reading million books at once a

yourself reading million books at once a

yourself reading million books at once a million understanding social Sylvia

million understanding social Sylvia

million understanding social Sylvia inches conversation in general I could

inches conversation in general I could

inches conversation in general I could never do that

once Alex began the music making process

once Alex began the music making process begin so just a short clip so what is

begin so just a short clip so what is

begin so just a short clip so what is really inspiring for me it is that a

really inspiring for me it is that a

really inspiring for me it is that a cognitive system sort of read for the

cognitive system sort of read for the

cognitive system sort of read for the artists cultural data of the last five

artists cultural data of the last five

artists cultural data of the last five years including social media so there

years including social media so there

years including social media so there the last five years top hundred

the last five years top hundred

the last five years top hundred Billboard charts that are coming out

Billboard charts that are coming out

Billboard charts that are coming out every week and what I felt particularly

every week and what I felt particularly

every week and what I felt particularly attractive for me is the way that the

attractive for me is the way that the

attractive for me is the way that the data was represented to also inspire the

data was represented to also inspire the

data was represented to also inspire the artists to create something that he

artists to create something that he

artists to create something that he wanted to create so he wanted to have a

wanted to create so he wanted to have a

wanted to create so he wanted to have a heart break song and he came up with

heart break song and he came up with

heart break song and he came up with it’s not easy so I invite you to listen

it’s not easy so I invite you to listen

it’s not easy so I invite you to listen to that so it’s a very interesting way

to that so it’s a very interesting way

to that so it’s a very interesting way of collaboration so the next example and

of collaboration so the next example and

of collaboration so the next example and I hope we don’t have any – in the room

I hope we don’t have any – in the room

I hope we don’t have any – in the room at the moment so it gets a little scary

at the moment so it gets a little scary

at the moment so it gets a little scary so the next thing I don’t know if you

so the next thing I don’t know if you

so the next thing I don’t know if you have heard or seen the movie Morgan it’s

have heard or seen the movie Morgan it’s

have heard or seen the movie Morgan it’s an AI thriller and so what the cognitive

an AI thriller and so what the cognitive

an AI thriller and so what the cognitive system has done here is actually he has

system has done here is actually he has

system has done here is actually he has watched hundreds of trailers and sort of

watched hundreds of trailers and sort of

watched hundreds of trailers and sort of learns and a corpus of knowledge what

learns and a corpus of knowledge what

learns and a corpus of knowledge what makes a good trailer so what is keeping

makes a good trailer so what is keeping

makes a good trailer so what is keeping people at the edge of their seats – and

people at the edge of their seats – and

people at the edge of their seats – and what is really engaging them to go to

what is really engaging them to go to

what is really engaging them to go to the movies so here so the cognitive

the movies so here so the cognitive

the movies so here so the cognitive system was also watching this new film

system was also watching this new film

system was also watching this new film that is coming out and suggested the top

that is coming out and suggested the top

that is coming out and suggested the top ten sequences that would make and

ten sequences that would make and

ten sequences that would make and compose a really cool trailer for this

compose a really cool trailer for this

compose a really cool trailer for this and let’s see just a short sequence if

and let’s see just a short sequence if

and let’s see just a short sequence if he made his job well

he made his job well

he made his job well [Music]

[Music]

[Music] its first birthday exceeds our wildest

its first birthday exceeds our wildest

its first birthday exceeds our wildest expectations

expectations

expectations nice to meet you are

don’t go in there okay what don’t you go

don’t go in there okay what don’t you go down there skip don’t be afraid

down there skip don’t be afraid

down there skip don’t be afraid Amy

definitely so you have to judge for

definitely so you have to judge for yourself but anyway I think it is a good

yourself but anyway I think it is a good

yourself but anyway I think it is a good example of showing that the

example of showing that the

example of showing that the supercomputer did not really do

supercomputer did not really do

supercomputer did not really do everything and just cut everything

everything and just cut everything

everything and just cut everything perfectly but just helping the producer

perfectly but just helping the producer

perfectly but just helping the producer to maybe not ever see something that

to maybe not ever see something that

to maybe not ever see something that might be relevant for his piece of work

might be relevant for his piece of work

might be relevant for his piece of work so another fields so anybody an idea

so another fields so anybody an idea

so another fields so anybody an idea what that is so it is something of

what that is so it is something of

what that is so it is something of course something that you can taste it

course something that you can taste it

course something that you can taste it is for the cheese lovers among you it’s

is for the cheese lovers among you it’s

is for the cheese lovers among you it’s blue cheese tiramisu African style and

blue cheese tiramisu African style and

blue cheese tiramisu African style and this was cooked by a three Michelin star

this was cooked by a three Michelin star

this was cooked by a three Michelin star chef Ono cook Maya in Amsterdam in the

chef Ono cook Maya in Amsterdam in the

chef Ono cook Maya in Amsterdam in the Acorah hotel and was cooked for us at a

Acorah hotel and was cooked for us at a

Acorah hotel and was cooked for us at a conference and it was something that he

conference and it was something that he

conference and it was something that he co-created with a cognitive system and

co-created with a cognitive system and

co-created with a cognitive system and so the system learned I think digested

so the system learned I think digested

so the system learned I think digested over thousands of recipes learned a lot

over thousands of recipes learned a lot

over thousands of recipes learned a lot of things about local tastes because in

of things about local tastes because in

of things about local tastes because in in the world we have local tastes and he

in the world we have local tastes and he

in the world we have local tastes and he also learned a lot of about chemistry

also learned a lot of about chemistry

also learned a lot of about chemistry and things that you might need to know

and things that you might need to know

and things that you might need to know when dealing with food and for this

when dealing with food and for this

when dealing with food and for this three-star chef oh no it was really a

three-star chef oh no it was really a

three-star chef oh no it was really a particular interest for him because when

particular interest for him because when

particular interest for him because when he creates new recipes it can take up to

he creates new recipes it can take up to

he creates new recipes it can take up to one year and and he can only remember

one year and and he can only remember

one year and and he can only remember he’s really trained he can only remember

he’s really trained he can only remember

he’s really trained he can only remember four tastes or four ingredients and

four tastes or four ingredients and

four tastes or four ingredients and think about if this is really for food

think about if this is really for food

think about if this is really for food and fitting together so what the

and fitting together so what the

and fitting together so what the cognitive system is doing is really when

cognitive system is doing is really when

cognitive system is doing is really when creating new dishes also point him to

creating new dishes also point him to

creating new dishes also point him to two synergies and and so the synergy

two synergies and and so the synergy

two synergies and and so the synergy here was that the cognitive system also

here was that the cognitive system also

here was that the cognitive system also helped to break a barrier because the

helped to break a barrier because the

helped to break a barrier because the cognitive system found out that

cognitive system found out that

cognitive system found out that mascarpone cheese and blue cheese have

mascarpone cheese and blue cheese have

mascarpone cheese and blue cheese have some similarities in the texture in the

some similarities in the texture in the

some similarities in the texture in the and and suggested that this might be

and and suggested that this might be

and and suggested that this might be also good taste and maybe he had read

also good taste and maybe he had read

also good taste and maybe he had read somewhere also where other people were

somewhere also where other people were

somewhere also where other people were in some recipes using it so it is

in some recipes using it so it is

in some recipes using it so it is something not to say that this is always

something not to say that this is always

something not to say that this is always the right thing but just inspiring

the right thing but just inspiring

the right thing but just inspiring people of maybe doing something

people of maybe doing something

people of maybe doing something differently where we would be restricted

differently where we would be restricted

differently where we would be restricted in our thoughts and maybe by our own

in our thoughts and maybe by our own

in our thoughts and maybe by our own tastes or what we had learned previously

tastes or what we had learned previously

tastes or what we had learned previously and not at all considering maybe

and not at all considering maybe

and not at all considering maybe something so here another great example

something so here another great example

something so here another great example of what can be done and I don’t like

of what can be done and I don’t like

of what can be done and I don’t like teas at all and I need to tell you the

teas at all and I need to tell you the

teas at all and I need to tell you the blue cheese tiramisu was excellent so

blue cheese tiramisu was excellent so

blue cheese tiramisu was excellent so sometimes it is worse also trying out

sometimes it is worse also trying out

sometimes it is worse also trying out and exploring new boundaries so I have I

and exploring new boundaries so I have I

and exploring new boundaries so I have I think shared with you a few examples so

think shared with you a few examples so

think shared with you a few examples so where people were exploring things

where people were exploring things

where people were exploring things together in my daily job as consultant I

together in my daily job as consultant I

together in my daily job as consultant I also have learned that sometimes some

also have learned that sometimes some

also have learned that sometimes some methodology is also helpful and so one

methodology is also helpful and so one

methodology is also helpful and so one one methodology that I would definitely

one methodology that I would definitely

one methodology that I would definitely like to tell you what is really working

like to tell you what is really working

like to tell you what is really working when working with new things new

when working with new things new

when working with new things new technologies it’s really to look at the

technologies it’s really to look at the

technologies it’s really to look at the core of problems and really understands

core of problems and really understands

core of problems and really understands what is the issue and never delegate

what is the issue and never delegate

what is the issue and never delegate this understand understanding don’t

this understand understanding don’t

this understand understanding don’t don’t think that it is a just assume

don’t think that it is a just assume

don’t think that it is a just assume what the problem is but really ask

what the problem is but really ask

what the problem is but really ask people interview them where the doctor

people interview them where the doctor

people interview them where the doctor may be so the music lover what they want

may be so the music lover what they want

may be so the music lover what they want to hear and feel an experience in the

to hear and feel an experience in the

to hear and feel an experience in the moment that they are dealing with this

moment that they are dealing with this

moment that they are dealing with this new talent technology so it’s definitely

new talent technology so it’s definitely

new talent technology so it’s definitely a good way of thinking sort of from from

a good way of thinking sort of from from

a good way of thinking sort of from from the problem and then have a diverse team

the problem and then have a diverse team

the problem and then have a diverse team around not only I I augmented

around not only I I augmented

around not only I I augmented intelligence and and experts but really

intelligence and and experts but really

intelligence and and experts but really domain experts and really creative

domain experts and really creative

domain experts and really creative energy in the room and then go about in

energy in the room and then go about in

energy in the room and then go about in an agile way and try out explore test

an agile way and try out explore test

an agile way and try out explore test and go and and extend your mind there

and go and and extend your mind there

and go and and extend your mind there another example as I’ve run the

another example as I’ve run the

another example as I’ve run the hackathon in Hamburg a few weeks ago on

hackathon in Hamburg a few weeks ago on

hackathon in Hamburg a few weeks ago on healthcare so and this was also

healthcare so and this was also

healthcare so and this was also something that

something that

something that I took away so so we invited people on

I took away so so we invited people on

I took away so so we invited people on the topic of health care and we were

the topic of health care and we were

the topic of health care and we were bringing experts from the health care

bringing experts from the health care

bringing experts from the health care sack sector doctors and advisors in that

sack sector doctors and advisors in that

sack sector doctors and advisors in that space

space

space we brought cognitive technologies and

we brought cognitive technologies and

we brought cognitive technologies and robots and we also had of course the

robots and we also had of course the

robots and we also had of course the creative crowd in the room and so the

creative crowd in the room and so the

creative crowd in the room and so the interesting bit was one of the winning

interesting bit was one of the winning

interesting bit was one of the winning teams

teams

teams invented something to support an

invented something to support an

invented something to support an Alzheimer’s patients during the day and

Alzheimer’s patients during the day and

Alzheimer’s patients during the day and and see if how a robo could support the

and see if how a robo could support the

and see if how a robo could support the Alzheimer’s patients and so for the

Alzheimer’s patients and so for the

Alzheimer’s patients and so for the other methanation that we had with us on

other methanation that we had with us on

other methanation that we had with us on the hackathon this was something that

the hackathon this was something that

the hackathon this was something that they had never considered before and

they had never considered before and

they had never considered before and quite frankly considered unethical to

quite frankly considered unethical to

quite frankly considered unethical to think about maybe have a robot working

think about maybe have a robot working

think about maybe have a robot working with an Alzheimer’s patients or

with an Alzheimer’s patients or

with an Alzheimer’s patients or something not to think about about but

something not to think about about but

something not to think about about but the interesting thing was so the team

the interesting thing was so the team

the interesting thing was so the team really listened very carefully to the

really listened very carefully to the

really listened very carefully to the domain experts and understood what what

domain experts and understood what what

domain experts and understood what what is what Alzheimer’s disease is about but

is what Alzheimer’s disease is about but

is what Alzheimer’s disease is about but at the same time then started the

at the same time then started the

at the same time then started the creation process and what came out so

creation process and what came out so

creation process and what came out so what was the Robonaut it’s just after

what was the Robonaut it’s just after

what was the Robonaut it’s just after one week and was so amazing that

one week and was so amazing that

one week and was so amazing that everybody involved said okay we need to

everybody involved said okay we need to

everybody involved said okay we need to carry on so startup forms other

carry on so startup forms other

carry on so startup forms other initiatives are starting to really

initiatives are starting to really

initiatives are starting to really explore this area not to say this will

explore this area not to say this will

explore this area not to say this will be the solution for everything but maybe

be the solution for everything but maybe

be the solution for everything but maybe just a component that could help so

just a component that could help so

just a component that could help so we’re trying to explore things also with

we’re trying to explore things also with

we’re trying to explore things also with the right methodology just to find the

the right methodology just to find the

the right methodology just to find the ways how to integrate intelligence into

ways how to integrate intelligence into

ways how to integrate intelligence into our day-to-day allow life in all aspects

our day-to-day allow life in all aspects

our day-to-day allow life in all aspects from music to doctors to to may be

from music to doctors to to may be

from music to doctors to to may be boring in processes in a huge

boring in processes in a huge

boring in processes in a huge corporation and to make it nice as

corporation and to make it nice as

corporation and to make it nice as something definitely worth whilst

something definitely worth whilst

something definitely worth whilst thinking about so but back to the

thinking about so but back to the

thinking about so but back to the creative application and as we are not

creative application and as we are not

creative application and as we are not only approaching the end of my talk

only approaching the end of my talk

only approaching the end of my talk today we are also protein Christmas and

today we are also protein Christmas and

today we are also protein Christmas and this is my Christmas wish

this is my Christmas wish

this is my Christmas wish so I want to have that risk dress for

so I want to have that risk dress for

so I want to have that risk dress for Christmas so if anybody wants to think

Christmas so if anybody wants to think

Christmas so if anybody wants to think about that so this dress is also special

about that so this dress is also special

about that so this dress is also special and it’s cognitive and it’s also a

and it’s cognitive and it’s also a

and it’s cognitive and it’s also a really nice way of thinking so when you

really nice way of thinking so when you

really nice way of thinking so when you look closely you see that the dress has

look closely you see that the dress has

look closely you see that the dress has 150 embroidered flowers and in each

150 embroidered flowers and in each

150 embroidered flowers and in each flower you see in LED lights so and

flower you see in LED lights so and

flower you see in LED lights so and imagine if I was now on stage with all

imagine if I was now on stage with all

imagine if I was now on stage with all the lights on my dress and it could

the lights on my dress and it could

the lights on my dress and it could reflect your social media temperament so

reflect your social media temperament so

reflect your social media temperament so what you feel your sentiments and just

what you feel your sentiments and just

what you feel your sentiments and just reflects it in the color so rosy or

reflects it in the color so rosy or

reflects it in the color so rosy or green aqua would be great because it

green aqua would be great because it

green aqua would be great because it would say excitement and what what we

would say excitement and what what we

would say excitement and what what we have done here is that sort of from all

have done here is that sort of from all

have done here is that sort of from all social media treats around that event at

social media treats around that event at

social media treats around that event at the Met Gala from woke so so their

the Met Gala from woke so so their

the Met Gala from woke so so their sentiment was analyzed so whether it was

sentiment was analyzed so whether it was

sentiment was analyzed so whether it was excited or just full of joy joy was rose

excited or just full of joy joy was rose

excited or just full of joy joy was rose Abe a blue was excitement Green was

Abe a blue was excitement Green was

Abe a blue was excitement Green was something else and then the dress sort

something else and then the dress sort

something else and then the dress sort of shown in all the different colors of

of shown in all the different colors of

of shown in all the different colors of the temperament and sentiment around

the temperament and sentiment around

the temperament and sentiment around that rest so it would be I think just a

that rest so it would be I think just a

that rest so it would be I think just a great way of reflecting what you’re just

great way of reflecting what you’re just

great way of reflecting what you’re just thinking right now so and I hope it

thinking right now so and I hope it

thinking right now so and I hope it would be full of joy and excitement when

would be full of joy and excitement when

would be full of joy and excitement when when I was here with this dress so

when I was here with this dress so

when I was here with this dress so coming to the end so I really want to

coming to the end so I really want to

coming to the end so I really want to say that matching the human mind for me

say that matching the human mind for me

say that matching the human mind for me is not only just copying a computer that

is not only just copying a computer that

is not only just copying a computer that is thinking the same way that’s a human

is thinking the same way that’s a human

is thinking the same way that’s a human for me it is finding a co-creation

for me it is finding a co-creation

for me it is finding a co-creation partner and really thinking about

partner and really thinking about

partner and really thinking about fearlessly

fearlessly

fearlessly thinking about and exploring the world

thinking about and exploring the world

thinking about and exploring the world how we can integrate that technology

how we can integrate that technology

how we can integrate that technology into our daily life because I see a lot

into our daily life because I see a lot

into our daily life because I see a lot of positive ways of incorporating that

of positive ways of incorporating that

of positive ways of incorporating that and if we can use that technology for

and if we can use that technology for

and if we can use that technology for helping to better diagnose cancer and

helping to better diagnose cancer and

helping to better diagnose cancer and finding the best treatments if we can

finding the best treatments if we can

finding the best treatments if we can make a process more efficient and offer

make a process more efficient and offer

make a process more efficient and offer consumer things more more easy I think

consumer things more more easy I think

consumer things more more easy I think that that are great application so it is

that that are great application so it is

that that are great application so it is a joint way

a joint way

a joint way and it requires also open-mindedness and

and it requires also open-mindedness and

and it requires also open-mindedness and and to explore the world and really

and to explore the world and really

and to explore the world and really finding a great partner but as always

finding a great partner but as always

finding a great partner but as always finding a partner this is only not only

finding a partner this is only not only

finding a partner this is only not only one way it’s always two ways so I’ve

one way it’s always two ways so I’ve

one way it’s always two ways so I’ve asked my favorite cognitive system what

asked my favorite cognitive system what

asked my favorite cognitive system what he can find out about myself as a

he can find out about myself as a

he can find out about myself as a partner Co for co-creation and this is

partner Co for co-creation and this is

partner Co for co-creation and this is what my cognitive system finds out about

what my cognitive system finds out about

what my cognitive system finds out about me and and maybe this is also of

me and and maybe this is also of

me and and maybe this is also of interest to you so because I’m really

interest to you so because I’m really

interest to you so because I’m really open for finding co-creation partners in

open for finding co-creation partners in

open for finding co-creation partners in the human world and maybe also in the

the human world and maybe also in the

the human world and maybe also in the world of augmented intelligence and with

world of augmented intelligence and with

world of augmented intelligence and with that thank you very much

that thank you very much

that thank you very much [Applause]