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Empowering Others with Machine Learning | Srinidhi Krishnamurthy | TEDxWilmingtonSalon


back when I was in the fifth grade my

back when I was in the fifth grade my friends and I loved to play on the

friends and I loved to play on the

friends and I loved to play on the monkey bars we wouldn’t play on these

monkey bars we wouldn’t play on these

monkey bars we wouldn’t play on these monkey bars like any other kids but we

monkey bars like any other kids but we

monkey bars like any other kids but we try to do these crazy acrobatics on them

try to do these crazy acrobatics on them

try to do these crazy acrobatics on them jumping from the third bar to the

jumping from the third bar to the

jumping from the third bar to the seventh bar and trying to just do all

seventh bar and trying to just do all

seventh bar and trying to just do all these crazy flips and tricks but I

these crazy flips and tricks but I

these crazy flips and tricks but I remember one particular time this time I

remember one particular time this time I

remember one particular time this time I stepped up to the monkey bars got up and

stepped up to the monkey bars got up and

stepped up to the monkey bars got up and tried to swing for the 3rd monkey bar

tried to swing for the 3rd monkey bar

tried to swing for the 3rd monkey bar skipping for the first and second when I

skipping for the first and second when I

skipping for the first and second when I did this instead of latching on to the

did this instead of latching on to the

did this instead of latching on to the third one I ended up grabbing on to the

third one I ended up grabbing on to the

third one I ended up grabbing on to the air and seconds later I fell down to the

air and seconds later I fell down to the

air and seconds later I fell down to the ground turns out I had the wind knocked

ground turns out I had the wind knocked

ground turns out I had the wind knocked out of me and I was taken to the

out of me and I was taken to the

out of me and I was taken to the emergency room here I found out that I

emergency room here I found out that I

emergency room here I found out that I had 14 fractures in my back and that I’d

had 14 fractures in my back and that I’d

had 14 fractures in my back and that I’d have a month off from school now this is

have a month off from school now this is

have a month off from school now this is almost any fifth graders dream a month

almost any fifth graders dream a month

almost any fifth graders dream a month off and all I got to do was stay home

off and all I got to do was stay home

off and all I got to do was stay home and play a Nintendo DS but I also spent

and play a Nintendo DS but I also spent

and play a Nintendo DS but I also spent a lot of time thinking about my

a lot of time thinking about my

a lot of time thinking about my situation in my health I was grateful

situation in my health I was grateful

situation in my health I was grateful that I was going to heal but I realized

that I was going to heal but I realized

that I was going to heal but I realized that there was an alternative and it was

that there was an alternative and it was

that there was an alternative and it was really hard to ignore 5.4 million people

really hard to ignore 5.4 million people

really hard to ignore 5.4 million people in the United States are victims of some

in the United States are victims of some

in the United States are victims of some degree of paralysis and over 85 percent

degree of paralysis and over 85 percent

degree of paralysis and over 85 percent of them are unemployed meaning that

of them are unemployed meaning that

of them are unemployed meaning that they’re not able to have access to the

they’re not able to have access to the

they’re not able to have access to the greatest medical technologies that they

greatest medical technologies that they

greatest medical technologies that they need to stay relevant in terms of being

need to stay relevant in terms of being

need to stay relevant in terms of being able to carry out day-to-day tasks with

able to carry out day-to-day tasks with

able to carry out day-to-day tasks with this in mind with a couple of friends I

this in mind with a couple of friends I

this in mind with a couple of friends I spearheaded efforts to create a brain

spearheaded efforts to create a brain

spearheaded efforts to create a brain actuated exoskeleton now brain actuated

actuated exoskeleton now brain actuated

actuated exoskeleton now brain actuated exoskeleton that seems like a mouthful

exoskeleton that seems like a mouthful

exoskeleton that seems like a mouthful let’s break it down so the idea is that

let’s break it down so the idea is that

let’s break it down so the idea is that we have this robotic exoskeleton that

we have this robotic exoskeleton that

we have this robotic exoskeleton that goes on a physical therapy patient or a

goes on a physical therapy patient or a

goes on a physical therapy patient or a paralyzed patient that allows them to

paralyzed patient that allows them to

paralyzed patient that allows them to control their emotions based on just

control their emotions based on just

control their emotions based on just their electrical activity from their

their electrical activity from their

their electrical activity from their brain how you may be thinking what is

brain how you may be thinking what is

brain how you may be thinking what is this brain reading device it sounds like

this brain reading device it sounds like

this brain reading device it sounds like science fiction well the way we do this

science fiction well the way we do this

science fiction well the way we do this is through a powerful idea in computer

is through a powerful idea in computer

is through a powerful idea in computer science called machine learning machine

science called machine learning machine

science called machine learning machine learning is this idea that we can teach

learning is this idea that we can teach

learning is this idea that we can teach computers a specific generic task now I

computers a specific generic task now I

computers a specific generic task now I said specific and generic how does that

said specific and generic how does that

said specific and generic how does that work it’s specific in that the machine

work it’s specific in that the machine

work it’s specific in that the machine knows only how to do that one particular

knows only how to do that one particular

knows only how to do that one particular task but it knows how to handle a

task but it knows how to handle a

task but it knows how to handle a variety of different input cases and

variety of different input cases and

variety of different input cases and there are two main ways we can teach a

there are two main ways we can teach a

there are two main ways we can teach a computer this specific task the first is

computer this specific task the first is

computer this specific task the first is called supervised learning and it’s a

called supervised learning and it’s a

called supervised learning and it’s a lot like how humans read books when we

lot like how humans read books when we

lot like how humans read books when we read a book we try to understand the

read a book we try to understand the

read a book we try to understand the underlying motifs and download that data

underlying motifs and download that data

underlying motifs and download that data into our system and try to outline try

into our system and try to outline try

into our system and try to outline try to analyze the different patterns within

to analyze the different patterns within

to analyze the different patterns within it and when we do this machine’s on the

it and when we do this machine’s on the

it and when we do this machine’s on the other hand are able to take a look at

other hand are able to take a look at

other hand are able to take a look at large sets of data and understand how

large sets of data and understand how

large sets of data and understand how these underlying patterns exist in this

these underlying patterns exist in this

these underlying patterns exist in this data set the second is called

data set the second is called

data set the second is called unsupervised learning unsupervised

unsupervised learning unsupervised

unsupervised learning unsupervised learning is much like how humans explore

learning is much like how humans explore

learning is much like how humans explore like Christopher Columbus or Ponce de

like Christopher Columbus or Ponce de

like Christopher Columbus or Ponce de Leon the computer is placed in this

Leon the computer is placed in this

Leon the computer is placed in this virtual environment where you can give

virtual environment where you can give

virtual environment where you can give the computer certain rewards or negative

the computer certain rewards or negative

the computer certain rewards or negative reinforcements to understand how it will

reinforcements to understand how it will

reinforcements to understand how it will behave in this space the computer over

behave in this space the computer over

behave in this space the computer over time learns what is good and what is bad

time learns what is good and what is bad

time learns what is good and what is bad based on the reinforcement that it gets

based on the reinforcement that it gets

based on the reinforcement that it gets so with this in mind using the

so with this in mind using the

so with this in mind using the supervised learning approach our team

supervised learning approach our team

supervised learning approach our team built an EEG based machine learning

built an EEG based machine learning

built an EEG based machine learning algorithm now what this does is it takes

algorithm now what this does is it takes

algorithm now what this does is it takes the electrical potentials from the brain

the electrical potentials from the brain

the electrical potentials from the brain and understand understands the

and understand understands the

and understand understands the underlying patterns within them so that

underlying patterns within them so that

underlying patterns within them so that we’re able to execute different motions

we’re able to execute different motions

we’re able to execute different motions within the body now being able to do

within the body now being able to do

within the body now being able to do this allows for empowerment and access

this allows for empowerment and access

this allows for empowerment and access on a large scale it allows for access

on a large scale it allows for access

on a large scale it allows for access because we took a $50,000 exoskeleton

because we took a $50,000 exoskeleton

because we took a $50,000 exoskeleton and brought it down to just $600 and

and brought it down to just $600 and

and brought it down to just $600 and furthermore on top of this

furthermore on top of this

furthermore on top of this we’re bringing about another $50 version

we’re bringing about another $50 version

we’re bringing about another $50 version in the near future just based on this

in the near future just based on this

in the near future just based on this amazing machine learning based

amazing machine learning based

amazing machine learning based technology secondly machine learning is

technology secondly machine learning is

technology secondly machine learning is also making massive strides in terms of

also making massive strides in terms of

also making massive strides in terms of natural language processing natural

natural language processing natural

natural language processing natural language processing is this idea that we

language processing is this idea that we

language processing is this idea that we can start talking to computers and

can start talking to computers and

can start talking to computers and having natural interactions with them so

having natural interactions with them so

having natural interactions with them so this is much like Siri or Google now on

this is much like Siri or Google now on

this is much like Siri or Google now on your phones what this does is it allows

your phones what this does is it allows

your phones what this does is it allows us to carry out conversations and I

us to carry out conversations and I

us to carry out conversations and I think that this has massive implications

think that this has massive implications

think that this has massive implications in education a project that I started

in education a project that I started

in education a project that I started with a couple of friends is called a

with a couple of friends is called a

with a couple of friends is called a list education a list education allows

list education a list education allows

list education a list education allows for students to converse naturally with

for students to converse naturally with

for students to converse naturally with an online tutor what this allows

an online tutor what this allows

an online tutor what this allows students to do is it actually allows

students to do is it actually allows

students to do is it actually allows them to ask questions much that much

them to ask questions much that much

them to ask questions much that much like of those that they would ask a real

like of those that they would ask a real

like of those that they would ask a real tutor for example I could ask the

tutor for example I could ask the

tutor for example I could ask the textbook what is the complex number I

textbook what is the complex number I

textbook what is the complex number I and the textbook would be able to

and the textbook would be able to

and the textbook would be able to respond to me that I is the square root

respond to me that I is the square root

respond to me that I is the square root of negative 1 but on top of just

of negative 1 but on top of just

of negative 1 but on top of just answering these fact-based questions the

answering these fact-based questions the

answering these fact-based questions the system is also able to understand how

system is also able to understand how

system is also able to understand how much the student has learned so at one

much the student has learned so at one

much the student has learned so at one point when the student thinks that they

point when the student thinks that they

point when the student thinks that they are done this system will go back and

are done this system will go back and

are done this system will go back and ask them questions when the system asks

ask them questions when the system asks

ask them questions when the system asks these questions the system is actually

these questions the system is actually

these questions the system is actually assessing how much the student has

assessing how much the student has

assessing how much the student has learned throughout the process and if

learned throughout the process and if

learned throughout the process and if they haven’t understood the concept

they haven’t understood the concept

they haven’t understood the concept fully this the system provides the

fully this the system provides the

fully this the system provides the student supplementary material in the

student supplementary material in the

student supplementary material in the form of voice much like a real tutor

form of voice much like a real tutor

form of voice much like a real tutor does and what this is allowing for is

does and what this is allowing for is

does and what this is allowing for is empowerment we’re empowering people all

empowerment we’re empowering people all

empowerment we’re empowering people all over the world to have access to a

over the world to have access to a

over the world to have access to a quality education no matter their

quality education no matter their

quality education no matter their background and no matter where they live

background and no matter where they live

background and no matter where they live lastly I think machine learning has

lastly I think machine learning has

lastly I think machine learning has massive implications also on a more

massive implications also on a more

massive implications also on a more global level here we see a map of a

global level here we see a map of a

global level here we see a map of a hurricane forecast system and you can

hurricane forecast system and you can

hurricane forecast system and you can see it’s a complete mess this past

see it’s a complete mess this past

see it’s a complete mess this past hurricane season for us was one of the

hurricane season for us was one of the

hurricane season for us was one of the most was one of the worst that we’ve

most was one of the worst that we’ve

most was one of the worst that we’ve seen in a long time and

seen in a long time and

seen in a long time and wanting to understand these sort of

wanting to understand these sort of

wanting to understand these sort of interactions of how climate science

interactions of how climate science

interactions of how climate science works I tried to apply a machine

works I tried to apply a machine

works I tried to apply a machine learning approach to hurricanes and the

learning approach to hurricanes and the

learning approach to hurricanes and the way I did this is by creating a system

way I did this is by creating a system

way I did this is by creating a system that allows for intensity and forecast

that allows for intensity and forecast

that allows for intensity and forecast analysis so that we know where the

analysis so that we know where the

analysis so that we know where the hurricane is at any given time and what

hurricane is at any given time and what

hurricane is at any given time and what its particular intensity would be by

its particular intensity would be by

its particular intensity would be by knowing this information we can inform

knowing this information we can inform

knowing this information we can inform we can inform people that need to make

we can inform people that need to make

we can inform people that need to make their decisions of the various different

their decisions of the various different

their decisions of the various different types of implications of the hurricane

types of implications of the hurricane

types of implications of the hurricane that’s impending on top of this it’s

that’s impending on top of this it’s

that’s impending on top of this it’s important to note that when I started

important to note that when I started

important to note that when I started this project I had zero climate science

this project I had zero climate science

this project I had zero climate science experience other than some quick

experience other than some quick

experience other than some quick research that I did on how these systems

research that I did on how these systems

research that I did on how these systems work all I all I knew was that there was

work all I all I knew was that there was

work all I all I knew was that there was this data set and that I needed to find

this data set and that I needed to find

this data set and that I needed to find out where the hurricane was going to be

out where the hurricane was going to be

out where the hurricane was going to be at any given time using this supervised

at any given time using this supervised

at any given time using this supervised learning approach I understood that

learning approach I understood that

learning approach I understood that machine learning helped me be timely in

machine learning helped me be timely in

machine learning helped me be timely in that it allowed me to create a system on

that it allowed me to create a system on

that it allowed me to create a system on a subject that I had no experience about

a subject that I had no experience about

a subject that I had no experience about in the past

in the past

in the past this shows that machine learning can

this shows that machine learning can

this shows that machine learning can also serve to inspire others through

also serve to inspire others through

also serve to inspire others through various projects and various endeavors

various projects and various endeavors

various projects and various endeavors we can inspire the nation’s youth to

we can inspire the nation’s youth to

we can inspire the nation’s youth to pursue computer science and to pursue

pursue computer science and to pursue

pursue computer science and to pursue these activities but on top of that I

these activities but on top of that I

these activities but on top of that I ask the audience to contribute to data

ask the audience to contribute to data

ask the audience to contribute to data sets because every time that there is

sets because every time that there is

sets because every time that there is new data available we’re increasing our

new data available we’re increasing our

new data available we’re increasing our generalization of these machine learning

generalization of these machine learning

generalization of these machine learning systems furthermore I’d like to end with

systems furthermore I’d like to end with

systems furthermore I’d like to end with the fact that machine learning is

the fact that machine learning is

the fact that machine learning is allowing for us to have an amazing and

allowing for us to have an amazing and

allowing for us to have an amazing and empowering future and it’s allowing us

empowering future and it’s allowing us

empowering future and it’s allowing us to talk about projects and ideas that

to talk about projects and ideas that

to talk about projects and ideas that help change the world thank you

help change the world thank you

help change the world thank you you

”

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