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Creating eyes-free and hands-free access to internet content | Radhika Thekkath | TEDxGeorgeSchool


I took six years to get to undergraduate

I took six years to get to undergraduate degrees I was at the end of my first one

degrees I was at the end of my first one

degrees I was at the end of my first one majoring in physics and mathematics and

majoring in physics and mathematics and

majoring in physics and mathematics and I had enrolled in a master’s in physics

I had enrolled in a master’s in physics

I had enrolled in a master’s in physics program somewhat unenthusiastically

program somewhat unenthusiastically

program somewhat unenthusiastically because my way wasn’t clear to me you

because my way wasn’t clear to me you

because my way wasn’t clear to me you know what was I going to do with this

know what was I going to do with this

know what was I going to do with this monsters I was in a materials physics

monsters I was in a materials physics

monsters I was in a materials physics class at the time and the topic turned

class at the time and the topic turned

class at the time and the topic turned to semiconductors and I thought wow this

to semiconductors and I thought wow this

to semiconductors and I thought wow this is fantastic look at this material that

is fantastic look at this material that

is fantastic look at this material that behaves in this funny odd way you know

behaves in this funny odd way you know

behaves in this funny odd way you know under different conditions and yet this

under different conditions and yet this

under different conditions and yet this is the material that is given as

is the material that is given as

is the material that is given as computers and all the electronics in the

computers and all the electronics in the

computers and all the electronics in the world and I thought well I really need

world and I thought well I really need

world and I thought well I really need to know more about this material I

to know more about this material I

to know more about this material I didn’t just pick up a textbook I decided

didn’t just pick up a textbook I decided

didn’t just pick up a textbook I decided to enroll in another undergraduate

to enroll in another undergraduate

to enroll in another undergraduate engineering program and you know all I

engineering program and you know all I

engineering program and you know all I can say is that to me being innovative

can say is that to me being innovative

can say is that to me being innovative has always meant doing what I really

has always meant doing what I really

has always meant doing what I really wanted to do you know if I was

wanted to do you know if I was

wanted to do you know if I was enthusiastically doing something then

enthusiastically doing something then

enthusiastically doing something then creativity and you know innovation came

creativity and you know innovation came

creativity and you know innovation came naturally I was at the end of my

naturally I was at the end of my

naturally I was at the end of my engineering undergraduate program and my

engineering undergraduate program and my

engineering undergraduate program and my project I picked was to do automatic

project I picked was to do automatic

project I picked was to do automatic wire placement you know using software

wire placement you know using software

wire placement you know using software what this meant is there’s a whole bunch

what this meant is there’s a whole bunch

what this meant is there’s a whole bunch of wires that needed to get from one

of wires that needed to get from one

of wires that needed to get from one point to another and they couldn’t cross

point to another and they couldn’t cross

point to another and they couldn’t cross each other and had to do this with

each other and had to do this with

each other and had to do this with software so this meant learning to

software so this meant learning to

software so this meant learning to program well and algorithms algorithms

program well and algorithms algorithms

program well and algorithms algorithms are really puzzles you know their

are really puzzles you know their

are really puzzles you know their puzzles that solve real problems in the

puzzles that solve real problems in the

puzzles that solve real problems in the real world and I thought okay I’m

real world and I thought okay I’m

real world and I thought okay I’m graduating next month I’m going to take

graduating next month I’m going to take

graduating next month I’m going to take a software job and I really didn’t know

a software job and I really didn’t know

a software job and I really didn’t know a lot of programming then I had done

a lot of programming then I had done

a lot of programming then I had done this only one big you know underground

this only one big you know underground

this only one big you know underground project so they gave me a customer

project so they gave me a customer

project so they gave me a customer service job you know think about this

service job you know think about this

service job you know think about this company they took the most junior person

company they took the most junior person

company they took the most junior person who barely knew how to program and put

who barely knew how to program and put

who barely knew how to program and put them in front of their most valuable you

them in front of their most valuable you

them in front of their most valuable you know assets that know the customers but

know assets that know the customers but

know assets that know the customers but a year later you know I was pretty good

a year later you know I was pretty good

a year later you know I was pretty good at my

at my

at my by then and the sales guy in Calcutta I

by then and the sales guy in Calcutta I

by then and the sales guy in Calcutta I was in bangalore based in bangalore said

was in bangalore based in bangalore said

was in bangalore based in bangalore said can you come out and meet this potential

can you come out and meet this potential

can you come out and meet this potential customer you know he really wants to

customer you know he really wants to

customer you know he really wants to talk to somebody you know who can speak

talk to somebody you know who can speak

talk to somebody you know who can speak more of the language then the sales guys

more of the language then the sales guys

more of the language then the sales guys good so I said sure you know I like to

good so I said sure you know I like to

good so I said sure you know I like to travel and I went to Calcutta met this

travel and I went to Calcutta met this

travel and I went to Calcutta met this guy who was the owner of a glass bottle

guy who was the owner of a glass bottle

guy who was the owner of a glass bottle factory ok and remember this was

factory ok and remember this was

factory ok and remember this was nineteen eighty-four in India and he was

nineteen eighty-four in India and he was

nineteen eighty-four in India and he was revolutionary in his thinking he locked

revolutionary in his thinking he locked

revolutionary in his thinking he locked eyes with me because I seemed to

eyes with me because I seemed to

eyes with me because I seemed to understand more than the sales guy and

understand more than the sales guy and

understand more than the sales guy and he said I want software delivered with

he said I want software delivered with

he said I want software delivered with the hardware that this guy’s gonna sell

the hardware that this guy’s gonna sell

the hardware that this guy’s gonna sell me that’s going to automatically design

me that’s going to automatically design

me that’s going to automatically design my glass bottles given the volume and

my glass bottles given the volume and

my glass bottles given the volume and the maximum height and you know all the

the maximum height and you know all the

the maximum height and you know all the other parameters that went into making

other parameters that went into making

other parameters that went into making the color of the glass etc and he said

the color of the glass etc and he said

the color of the glass etc and he said then I won the software to automatically

then I won the software to automatically

then I won the software to automatically drive the machine in the manufacturing

drive the machine in the manufacturing

drive the machine in the manufacturing process so there was no human

process so there was no human

process so there was no human intervention in this and I thought wow

intervention in this and I thought wow

intervention in this and I thought wow you know this is great and the software

you know this is great and the software

you know this is great and the software guy had coached me to say that we could

guy had coached me to say that we could

guy had coached me to say that we could deliver any software he wanted so I

deliver any software he wanted so I

deliver any software he wanted so I looked at him and said yeah yeah so if I

looked at him and said yeah yeah so if I

looked at him and said yeah yeah so if I can do that you know definitely no

can do that you know definitely no

can do that you know definitely no problem back in the hotel that night I

problem back in the hotel that night I

problem back in the hotel that night I thought to myself well this guy is a

thought to myself well this guy is a

thought to myself well this guy is a visionary right you know he has this

visionary right you know he has this

visionary right you know he has this fantastic idea you know we had sort of

fantastic idea you know we had sort of

fantastic idea you know we had sort of walked through some of the back slums of

walked through some of the back slums of

walked through some of the back slums of calculator get to his factory but he

calculator get to his factory but he

calculator get to his factory but he wanted this fantastic software to go

wanted this fantastic software to go

wanted this fantastic software to go with his you know the mini-computer the

with his you know the mini-computer the

with his you know the mini-computer the sales guy was to be selling and I said

sales guy was to be selling and I said

sales guy was to be selling and I said you know there must be a way to do this

you know there must be a way to do this

you know there must be a way to do this but I can personally not do this you

but I can personally not do this you

but I can personally not do this you know I don’t have the tools to do this I

know I don’t have the tools to do this I

know I don’t have the tools to do this I had no computer science formal training

had no computer science formal training

had no computer science formal training then I told myself well I have to go get

then I told myself well I have to go get

then I told myself well I have to go get the tools so you thought of see the

the tools so you thought of see the

the tools so you thought of see the pattern here developing right so 1985 I

pattern here developing right so 1985 I

pattern here developing right so 1985 I was in the US getting a master’s in

was in the US getting a master’s in

was in the US getting a master’s in computer science and I took a job after

computer science and I took a job after

computer science and I took a job after that in a Silicon Valley company pretty

that in a Silicon Valley company pretty

that in a Silicon Valley company pretty standard you know software company I was

standard you know software company I was

standard you know software company I was having a reasonably good time there but

having a reasonably good time there but

having a reasonably good time there but you know those two people over there in

you know those two people over there in

you know those two people over there in the corner

the corner

the corner who were in front of a white board all

who were in front of a white board all

who were in front of a white board all day writing equations and arguing with

day writing equations and arguing with

day writing equations and arguing with each other but they seem to be having

each other but they seem to be having

each other but they seem to be having the most fun so I pretty Bowl I went up

the most fun so I pretty Bowl I went up

the most fun so I pretty Bowl I went up to them and I said hey you know I’m

to them and I said hey you know I’m

to them and I said hey you know I’m so-and-so and what do you guys do here

so-and-so and what do you guys do here

so-and-so and what do you guys do here you know I see you writing interesting

you know I see you writing interesting

you know I see you writing interesting stuff on the board and you don’t seem to

stuff on the board and you don’t seem to

stuff on the board and you don’t seem to be actually ever in front of a computer

be actually ever in front of a computer

be actually ever in front of a computer you’re arguing with each other all day

you’re arguing with each other all day

you’re arguing with each other all day so it turned out that these two people

so it turned out that these two people

so it turned out that these two people were physics phd’s arguing about

were physics phd’s arguing about

were physics phd’s arguing about simulation models for transistors and

simulation models for transistors and

simulation models for transistors and you know semiconductors so I said well

you know semiconductors so I said well

you know semiconductors so I said well it looks like someone with a PhD has the

it looks like someone with a PhD has the

it looks like someone with a PhD has the most fun in the company so I want that

most fun in the company so I want that

most fun in the company so I want that job so I enrolled in a physics I mean

job so I enrolled in a physics I mean

job so I enrolled in a physics I mean not in a physics PhD because I really

not in a physics PhD because I really

not in a physics PhD because I really didn’t had left physics behind a while

didn’t had left physics behind a while

didn’t had left physics behind a while ago in a computer science PhD so I

ago in a computer science PhD so I

ago in a computer science PhD so I graduated with a PhD the doctorate at

graduated with a PhD the doctorate at

graduated with a PhD the doctorate at the age of 35 had my first child then

the age of 35 had my first child then

the age of 35 had my first child then and I went on to work for a Silicon

and I went on to work for a Silicon

and I went on to work for a Silicon Valley company and it was definitely one

Valley company and it was definitely one

Valley company and it was definitely one of the you know best jobs I’ve had and

of the you know best jobs I’ve had and

of the you know best jobs I’ve had and this company was an innovative company

this company was an innovative company

this company was an innovative company and they were very prolific and filing

and they were very prolific and filing

and they were very prolific and filing patents hence the you know the 43 or so

patents hence the you know the 43 or so

patents hence the you know the 43 or so patents on which I’m either soul or

patents on which I’m either soul or

patents on which I’m either soul or co-inventor not all of these are

co-inventor not all of these are

co-inventor not all of these are entirely my ideas and you know this life

entirely my ideas and you know this life

entirely my ideas and you know this life went on and I was 42 had my second child

went on and I was 42 had my second child

went on and I was 42 had my second child and in my 50s I decided to do a start-up

and in my 50s I decided to do a start-up

and in my 50s I decided to do a start-up so I have a co-founder Kathy Faust so

so I have a co-founder Kathy Faust so

so I have a co-founder Kathy Faust so she and I decided that we have this

she and I decided that we have this

she and I decided that we have this brilliant idea and we were going to do a

brilliant idea and we were going to do a

brilliant idea and we were going to do a start-up now 50 so I’m from the valley

start-up now 50 so I’m from the valley

start-up now 50 so I’m from the valley well you know all the startups most of

well you know all the startups most of

well you know all the startups most of the startups happen right but we neither

the startups happen right but we neither

the startups happen right but we neither of us fit the typical demographic of a

of us fit the typical demographic of a

of us fit the typical demographic of a start-up founder right women enough 50s

start-up founder right women enough 50s

start-up founder right women enough 50s we didn’t look like 22 year old males

we didn’t look like 22 year old males

we didn’t look like 22 year old males from Stanford I mean you know sorry that

from Stanford I mean you know sorry that

from Stanford I mean you know sorry that image didn’t work so what we did is we

image didn’t work so what we did is we

image didn’t work so what we did is we basically raised our seed money almost a

basically raised our seed money almost a

basically raised our seed money almost a million dollars from to National Science

million dollars from to National Science

million dollars from to National Science Foundation grams you know that was a way

Foundation grams you know that was a way

Foundation grams you know that was a way to go because we won’t be you know we

to go because we won’t be you know we

to go because we won’t be you know we would not be able to raise money the

would not be able to raise money the

would not be able to raise money the traditional way and we thought we just

traditional way and we thought we just

traditional way and we thought we just have this brilliant idea right so first

have this brilliant idea right so first

have this brilliant idea right so first lesson here especially for you know all

lesson here especially for you know all

lesson here especially for you know all you young people in the audience is

you young people in the audience is

you young people in the audience is ignore your age

ignore your age

ignore your age just go do stuff when you want to do it

just go do stuff when you want to do it

just go do stuff when you want to do it now whatever motivates you at whatever

now whatever motivates you at whatever

now whatever motivates you at whatever age just go do it because it’s that kind

age just go do it because it’s that kind

age just go do it because it’s that kind of following what sparks that interest

of following what sparks that interest

of following what sparks that interest in you makes you most creative makes you

in you makes you most creative makes you

in you makes you most creative makes you most you know innovative I think and

most you know innovative I think and

most you know innovative I think and second lesson is really to ignore

second lesson is really to ignore

second lesson is really to ignore naysayers unfortunately most of the

naysayers unfortunately most of the

naysayers unfortunately most of the naysayers are usually your close friends

naysayers are usually your close friends

naysayers are usually your close friends and family and so they are being really

and family and so they are being really

and family and so they are being really kind when they tell you you know really

kind when they tell you you know really

kind when they tell you you know really you really want to go get a second

you really want to go get a second

you really want to go get a second undergraduate degree couldn’t just read

undergraduate degree couldn’t just read

undergraduate degree couldn’t just read this from a textbook and go get a job

this from a textbook and go get a job

this from a textbook and go get a job like the rest of us you know good

like the rest of us you know good

like the rest of us you know good friends or you know starting a ph.d

friends or you know starting a ph.d

friends or you know starting a ph.d program at the age of 30 you know

program at the age of 30 you know

program at the age of 30 you know leaving a Silicon Valley job that paid

leaving a Silicon Valley job that paid

leaving a Silicon Valley job that paid thirty seven thousand dollars in 1989

thirty seven thousand dollars in 1989

thirty seven thousand dollars in 1989 just a really good salary for five years

just a really good salary for five years

just a really good salary for five years of slogging out as a grad student on

of slogging out as a grad student on

of slogging out as a grad student on maybe 10,000 a year you know

maybe 10,000 a year you know

maybe 10,000 a year you know assistantship program so it doesn’t

assistantship program so it doesn’t

assistantship program so it doesn’t matter and a shout out to my parents my

matter and a shout out to my parents my

matter and a shout out to my parents my father’s passed away in my husband who

father’s passed away in my husband who

father’s passed away in my husband who always been supportive of you know every

always been supportive of you know every

always been supportive of you know every crazy idea I’ve had and have been

crazy idea I’ve had and have been

crazy idea I’ve had and have been correct me to do that thing that’s

correct me to do that thing that’s

correct me to do that thing that’s really important to have support in your

really important to have support in your

really important to have support in your family now this startup let’s talk a

family now this startup let’s talk a

family now this startup let’s talk a little bit about the startup because you

little bit about the startup because you

little bit about the startup because you know this is what’s driving me and my

know this is what’s driving me and my

know this is what’s driving me and my co-founder today the idea came to me in

co-founder today the idea came to me in

co-founder today the idea came to me in a slightly different way than it did my

a slightly different way than it did my

a slightly different way than it did my co-founder so I’m going to tell my

co-founder so I’m going to tell my

co-founder so I’m going to tell my stories I’m the one on stage driving

stories I’m the one on stage driving

stories I’m the one on stage driving around in the Bay Area I know traffic

around in the Bay Area I know traffic

around in the Bay Area I know traffic can be pretty bad in the car and I’m

can be pretty bad in the car and I’m

can be pretty bad in the car and I’m reading news all the time when I’m not

reading news all the time when I’m not

reading news all the time when I’m not in the car and I was frustrated that in

in the car and I was frustrated that in

in the car and I was frustrated that in the car I couldn’t really turn on the

the car I couldn’t really turn on the

the car I couldn’t really turn on the radio and got to hear the news I wanted

radio and got to hear the news I wanted

radio and got to hear the news I wanted this was some years ago before we had

this was some years ago before we had

this was some years ago before we had this million and plus you know apps in

this million and plus you know apps in

this million and plus you know apps in the app store right now you have radio

the app store right now you have radio

the app store right now you have radio stations podcasts and what kind system

stations podcasts and what kind system

stations podcasts and what kind system right so how was I going to be able to

right so how was I going to be able to

right so how was I going to be able to get access to any information I wanted

get access to any information I wanted

get access to any information I wanted in the car like a radio station with the

in the car like a radio station with the

in the car like a radio station with the information that I was interested in

information that I was interested in

information that I was interested in that’s the problem that I had and I

that’s the problem that I had and I

that’s the problem that I had and I wanted to be able to solve this problem

wanted to be able to solve this problem

wanted to be able to solve this problem now the problem is actually quite

now the problem is actually quite

now the problem is actually quite difficult in some sense because I am

difficult in some sense because I am

difficult in some sense because I am interested say in politics and gardening

interested say in politics and gardening

interested say in politics and gardening so I want a radio station for gardening

so I want a radio station for gardening

so I want a radio station for gardening and I wanted radio station for politics

and I wanted radio station for politics

and I wanted radio station for politics and my friend over there is interested

and my friend over there is interested

and my friend over there is interested in stock market and surfing right so she

in stock market and surfing right so she

in stock market and surfing right so she wants a radio station for stock market

wants a radio station for stock market

wants a radio station for stock market and one for surfing now how do you go

and one for surfing now how do you go

and one for surfing now how do you go about solving a problem like this i

about solving a problem like this i

about solving a problem like this i think you know innovation can often come

think you know innovation can often come

think you know innovation can often come as a Eureka moment but I think more

as a Eureka moment but I think more

as a Eureka moment but I think more often it comes as an assembly of smaller

often it comes as an assembly of smaller

often it comes as an assembly of smaller ideas that together you know create

ideas that together you know create

ideas that together you know create something fantastic that one can use

something fantastic that one can use

something fantastic that one can use here’s one problem right the internet is

here’s one problem right the internet is

here’s one problem right the internet is mostly written information how do you go

mostly written information how do you go

mostly written information how do you go from written information to audible

from written information to audible

from written information to audible information you do you know machine

information you do you know machine

information you do you know machine synthesis of speech and the technology

synthesis of speech and the technology

synthesis of speech and the technology here is improving it’s not perfect you

here is improving it’s not perfect you

here is improving it’s not perfect you know prosody getting emotional content

know prosody getting emotional content

know prosody getting emotional content into synthesized speech is just

into synthesized speech is just

into synthesized speech is just beginning and this is what we use you

beginning and this is what we use you

beginning and this is what we use you know we are using a lot of machine

know we are using a lot of machine

know we are using a lot of machine synthesized voice in order to generate

synthesized voice in order to generate

synthesized voice in order to generate the correct information into the correct

the correct information into the correct

the correct information into the correct way no audio form but this isn’t really

way no audio form but this isn’t really

way no audio form but this isn’t really even the crux of the problem the crux of

even the crux of the problem the crux of

even the crux of the problem the crux of the problem is this if I were to search

the problem is this if I were to search

the problem is this if I were to search on the internet today using the word say

on the internet today using the word say

on the internet today using the word say stock market I get 107 million hits you

stock market I get 107 million hits you

stock market I get 107 million hits you know from one of your standard search

know from one of your standard search

know from one of your standard search engines and then what do you do with

engines and then what do you do with

engines and then what do you do with that you can’t really build a radio

that you can’t really build a radio

that you can’t really build a radio station worse based on instant search

station worse based on instant search

station worse based on instant search right so what we actually have to do and

right so what we actually have to do and

right so what we actually have to do and what we are doing is week after week

what we are doing is week after week

what we are doing is week after week month after month year after year even

month after month year after year even

month after month year after year even we are looking at sources of information

we are looking at sources of information

we are looking at sources of information across newspapers magazines podcast

across newspapers magazines podcast

across newspapers magazines podcast bloggers to understand what are the

bloggers to understand what are the

bloggers to understand what are the topics that are typically carried from

topics that are typically carried from

topics that are typically carried from that source of information i have got

that source of information i have got

that source of information i have got thousands of these sources classified

thousands of these sources classified

thousands of these sources classified into thousands of topics and there’s a

into thousands of topics and there’s a

into thousands of topics and there’s a probability function associated with hey

probability function associated with hey

probability function associated with hey this is the new york times gardening you

this is the new york times gardening you

this is the new york times gardening you know source feed so this mostly carries

know source feed so this mostly carries

know source feed so this mostly carries gardening but it could have some

gardening but it could have some

gardening but it could have some information about climate change and

information about climate change and

information about climate change and other things i don’t know so i have this

other things i don’t know so i have this

other things i don’t know so i have this box with this loads of information like

box with this loads of information like

box with this loads of information like so now you come to me and you say tell

so now you come to me and you say tell

so now you come to me and you say tell me about surfing I pull out all the

me about surfing I pull out all the

me about surfing I pull out all the sources that seem to have the highest

sources that seem to have the highest

sources that seem to have the highest probability for surfing and i created a

probability for surfing and i created a

probability for surfing and i created a do station for her based on that and I

do station for her based on that and I

do station for her based on that and I go to my technology and say I really

go to my technology and say I really

go to my technology and say I really want to know what’s happening in in the

want to know what’s happening in in the

want to know what’s happening in in the world of vegetable gardening and so I

world of vegetable gardening and so I

world of vegetable gardening and so I pull out all the sources that match that

pull out all the sources that match that

pull out all the sources that match that topic and this is how we can create you

topic and this is how we can create you

topic and this is how we can create you know radio stations now through

know radio stations now through

know radio stations now through smartphone apps in this way and this

smartphone apps in this way and this

smartphone apps in this way and this idea is empowering and it takes computer

idea is empowering and it takes computer

idea is empowering and it takes computer science to actually implement this but

science to actually implement this but

science to actually implement this but its usefulness is and you know undoubted

its usefulness is and you know undoubted

its usefulness is and you know undoubted because it’s not just the drivers in the

because it’s not just the drivers in the

because it’s not just the drivers in the car that benefit from this but the blind

car that benefit from this but the blind

car that benefit from this but the blind you know the vision impaired the sick

you know the vision impaired the sick

you know the vision impaired the sick any number of such people who would

any number of such people who would

any number of such people who would benefit from hearing stuff rather than

benefit from hearing stuff rather than

benefit from hearing stuff rather than reading stuff or even I at the end of

reading stuff or even I at the end of

reading stuff or even I at the end of you know end of a day when I’ve been in

you know end of a day when I’ve been in

you know end of a day when I’ve been in a front of a computer all day my

a front of a computer all day my

a front of a computer all day my eyesight tired right so I am showing

eyesight tired right so I am showing

eyesight tired right so I am showing some signs of my age and what I would

some signs of my age and what I would

some signs of my age and what I would really like to do is lie back and listen

really like to do is lie back and listen

really like to do is lie back and listen to my gardening feed maybe or I’m

to my gardening feed maybe or I’m

to my gardening feed maybe or I’m catching up on my politics thank you

catching up on my politics thank you

catching up on my politics thank you [Applause]

[Applause]

[Applause] [Music]

”

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