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Say Yes To A.I. | Kelsey Scharnhorst | TEDxVail


you might recognize this robot as an

you might recognize this robot as an image from the movie Terminator

image from the movie Terminator

image from the movie Terminator science-fiction has cultivated fear that

science-fiction has cultivated fear that

science-fiction has cultivated fear that an AI will take over and ultimately lead

an AI will take over and ultimately lead

an AI will take over and ultimately lead to her untimely demise my message is

to her untimely demise my message is

to her untimely demise my message is simple robots will help humanity so for

simple robots will help humanity so for

simple robots will help humanity so for our live audience the human robot dance

our live audience the human robot dance

our live audience the human robot dance to it that we just watched is incredibly

to it that we just watched is incredibly

to it that we just watched is incredibly moving

moving

moving but this robot does not fall into the

but this robot does not fall into the

but this robot does not fall into the section of artificial intelligence and

section of artificial intelligence and

section of artificial intelligence and it is because it was programmed exactly

it is because it was programmed exactly

it is because it was programmed exactly to have very specific movements and

to have very specific movements and

to have very specific movements and those movements were carried out just as

those movements were carried out just as

those movements were carried out just as it was programmed in this way it’s

it was programmed in this way it’s

it was programmed in this way it’s acting more as a machine rather than an

acting more as a machine rather than an

acting more as a machine rather than an intelligent entity so for something to

intelligent entity so for something to

intelligent entity so for something to qualify as artificial intelligence it

qualify as artificial intelligence it

qualify as artificial intelligence it has to be capable of learning for over

has to be capable of learning for over

has to be capable of learning for over 300 years the word computer was used to

300 years the word computer was used to

300 years the word computer was used to describe humans carrying out

describe humans carrying out

describe humans carrying out calculations and it wasn’t until about

calculations and it wasn’t until about

calculations and it wasn’t until about 80 years ago with modern day digital

80 years ago with modern day digital

80 years ago with modern day digital computers that we started to use the

computers that we started to use the

computers that we started to use the word computer as describing a machine

word computer as describing a machine

word computer as describing a machine carrying out a calculation now we’re

carrying out a calculation now we’re

carrying out a calculation now we’re entering the age of artificial

entering the age of artificial

entering the age of artificial intelligence where machines are capable

intelligence where machines are capable

intelligence where machines are capable of learning so there’s two main

of learning so there’s two main

of learning so there’s two main subsections of artificial intelligence

subsections of artificial intelligence

subsections of artificial intelligence one is software the other is hardware so

one is software the other is hardware so

one is software the other is hardware so software is going to be line by line

software is going to be line by line

software is going to be line by line code and essentially what it is is it

code and essentially what it is is it

code and essentially what it is is it takes a system and allows for training

takes a system and allows for training

takes a system and allows for training from a data set this is a learning

from a data set this is a learning

from a data set this is a learning process

process

process and then it goes a little bit further

and then it goes a little bit further

and then it goes a little bit further and in this area it’s allowed to make

and in this area it’s allowed to make

and in this area it’s allowed to make classifications or predictions depending

classifications or predictions depending

classifications or predictions depending on what the task is hardware AI on the

on what the task is hardware AI on the

on what the task is hardware AI on the other hand is a physical chip capable of

other hand is a physical chip capable of

other hand is a physical chip capable of learning and it follows the same exact

learning and it follows the same exact

learning and it follows the same exact process as the software does it should

process as the software does it should

process as the software does it should definitely note that software AI is all

definitely note that software AI is all

definitely note that software AI is all over the internet all the major

over the internet all the major

over the internet all the major companies are already using it

companies are already using it

companies are already using it hardware AI however is being researched

hardware AI however is being researched

hardware AI however is being researched by all the major companies I have been

by all the major companies I have been

by all the major companies I have been working on Hardware AI the last five

working on Hardware AI the last five

working on Hardware AI the last five years and a great example of software a

years and a great example of software a

years and a great example of software a AI is self-driving cars so 1.3 million

AI is self-driving cars so 1.3 million

AI is self-driving cars so 1.3 million people die every year in automobile

people die every year in automobile

people die every year in automobile accidents and 20 to 50 million people

accidents and 20 to 50 million people

accidents and 20 to 50 million people are disabled or injured this is a number

are disabled or injured this is a number

are disabled or injured this is a number one leading cause of accidental death in

one leading cause of accidental death in

one leading cause of accidental death in the world

so self-driving cars are the future they

so self-driving cars are the future they will never have a lapse in intention

will never have a lapse in intention

will never have a lapse in intention they will never fall asleep never drive

they will never fall asleep never drive

they will never fall asleep never drive drunk or recklessly they will virtually

drunk or recklessly they will virtually

drunk or recklessly they will virtually remove automobile accidents as a cause

remove automobile accidents as a cause

remove automobile accidents as a cause of death so we can see the software AI

of death so we can see the software AI

of death so we can see the software AI is going to save lives and now the

is going to save lives and now the

is going to save lives and now the question is can a I help save our

question is can a I help save our

question is can a I help save our environment growing up in Washington

environment growing up in Washington

environment growing up in Washington State on the coastline I have an extreme

State on the coastline I have an extreme

State on the coastline I have an extreme of nature and it’s very important to me

of nature and it’s very important to me

of nature and it’s very important to me to give back to the world that we live

to give back to the world that we live

to give back to the world that we live in so it turns out hardware AI will lead

in so it turns out hardware AI will lead

in so it turns out hardware AI will lead to robots that are able to work in real

to robots that are able to work in real

to robots that are able to work in real time on site and determine say a

time on site and determine say a

time on site and determine say a cigarette is a piece of trash

cigarette is a piece of trash

cigarette is a piece of trash but leave a piece of driftwood where it

but leave a piece of driftwood where it

but leave a piece of driftwood where it is on top of this we have plastic piling

is on top of this we have plastic piling

is on top of this we have plastic piling up in the oceans and eventually we’re

up in the oceans and eventually we’re

up in the oceans and eventually we’re going to have massive ocean bots that

going to have massive ocean bots that

going to have massive ocean bots that will pick up plastic and leave fish

will pick up plastic and leave fish

will pick up plastic and leave fish alone also we have drones but using AI

alone also we have drones but using AI

alone also we have drones but using AI software called swarm intelligence

software called swarm intelligence

software called swarm intelligence modeled after birds and B movement we

modeled after birds and B movement we

modeled after birds and B movement we can quickly map out oil spills and then

can quickly map out oil spills and then

can quickly map out oil spills and then deploy see drones clean these up this is

deploy see drones clean these up this is

deploy see drones clean these up this is a much cleaner alternative than current

a much cleaner alternative than current

a much cleaner alternative than current oil spill techniques so the real

oil spill techniques so the real

oil spill techniques so the real question is why can’t we just use

question is why can’t we just use

question is why can’t we just use standard computers for this and there’s

standard computers for this and there’s

standard computers for this and there’s two main problems with standard

two main problems with standard

two main problems with standard computers so number one you have a

computers so number one you have a

computers so number one you have a separation of memory and processing and

separation of memory and processing and

separation of memory and processing and this space between it causes a

this space between it causes a

this space between it causes a limitation of information transfer

limitation of information transfer

limitation of information transfer number two the elements in your phones

number two the elements in your phones

number two the elements in your phones and computers today are so small

and computers today are so small

and computers today are so small we can’t really make them much smaller

we can’t really make them much smaller

we can’t really make them much smaller so we’re we’re hitting the limit of

so we’re we’re hitting the limit of

so we’re we’re hitting the limit of standard computer architectures so we

standard computer architectures so we

standard computer architectures so we need an alternative architecture we want

need an alternative architecture we want

need an alternative architecture we want to combine this memory and processing

to combine this memory and processing

to combine this memory and processing into the same platform and we want it to

into the same platform and we want it to

into the same platform and we want it to be super super low power so if we look

be super super low power so if we look

be super super low power so if we look to nature is an inspiration it turns out

to nature is an inspiration it turns out

to nature is an inspiration it turns out the human brain does just this very low

the human brain does just this very low

the human brain does just this very low power combining memory and processing we

power combining memory and processing we

power combining memory and processing we are able to store memories and solve

are able to store memories and solve

are able to store memories and solve complex problems and this is done by

complex problems and this is done by

complex problems and this is done by electrical signals flowing through

electrical signals flowing through

electrical signals flowing through neurons in the brain which are highly

neurons in the brain which are highly

neurons in the brain which are highly interconnected and densely packed so my

interconnected and densely packed so my

interconnected and densely packed so my group has sought to do just this

group has sought to do just this

group has sought to do just this starting with a standard chip if we zoom

starting with a standard chip if we zoom

starting with a standard chip if we zoom into this red box we can see platinum

into this red box we can see platinum

into this red box we can see platinum electrodes and these are just here to

electrodes and these are just here to

electrodes and these are just here to monitor electrical activity from here

monitor electrical activity from here

monitor electrical activity from here another zoom in we put down tiny tiny

another zoom in we put down tiny tiny

another zoom in we put down tiny tiny little seed sites and from these little

little seed sites and from these little

little seed sites and from these little seeds we put them in a solution and add

seeds we put them in a solution and add

seeds we put them in a solution and add on my atom these seeds are traded out

on my atom these seeds are traded out

on my atom these seeds are traded out and self assembled to create an

and self assembled to create an

and self assembled to create an incredibly dense interconnected Network

incredibly dense interconnected Network

incredibly dense interconnected Network very similar to the human brain we get

very similar to the human brain we get

very similar to the human brain we get about a billion connections per square

about a billion connections per square

about a billion connections per square centimeter when we make these not only

centimeter when we make these not only

centimeter when we make these not only that every single chip that we grow is

that every single chip that we grow is

that every single chip that we grow is going to be incredibly different from

going to be incredibly different from

going to be incredibly different from the last just like everyone’s brains are

the last just like everyone’s brains are

the last just like everyone’s brains are different from each others but they have

different from each others but they have

different from each others but they have similar density and similar properties

similar density and similar properties

similar density and similar properties and have long range connections short

and have long range connections short

and have long range connections short range connections and it turns out this

range connections and it turns out this

range connections and it turns out this is a zoom in at the last photo if you

is a zoom in at the last photo if you

is a zoom in at the last photo if you look at every place that a nano where

look at every place that a nano where

look at every place that a nano where crosses another nano wire they can build

crosses another nano wire they can build

crosses another nano wire they can build up atom by atom and form these tiny

up atom by atom and form these tiny

up atom by atom and form these tiny filaments and this is a switch and if

filaments and this is a switch and if

filaments and this is a switch and if the filament is very

the filament is very

the filament is very we call that short-term memory and if

we call that short-term memory and if

we call that short-term memory and if it’s very thick we call it long-term

it’s very thick we call it long-term

it’s very thick we call it long-term memory so just like in the mammalian

memory so just like in the mammalian

memory so just like in the mammalian brain and standard computers today are

brain and standard computers today are

brain and standard computers today are more like a switch it turns on and it

more like a switch it turns on and it

more like a switch it turns on and it turns off

turns off

turns off there’s no range of the connection there

there’s no range of the connection there

there’s no range of the connection there so I’m gonna leave you guys with an

so I’m gonna leave you guys with an

so I’m gonna leave you guys with an image of actual human neurons they are

image of actual human neurons they are

image of actual human neurons they are highly interconnected and you can see

highly interconnected and you can see

highly interconnected and you can see they do look pretty similar to some of

they do look pretty similar to some of

they do look pretty similar to some of the networks that I’ve grown so with

the networks that I’ve grown so with

the networks that I’ve grown so with this I would like to ask you given the

this I would like to ask you given the

this I would like to ask you given the potential benefits to society and the

potential benefits to society and the

potential benefits to society and the environment please don’t be afraid to

environment please don’t be afraid to

environment please don’t be afraid to say yes to AI

say yes to AI

[Applause]

[Applause] [Music]

[Music]

[Music] [Applause]

[Applause]

[Applause] [Music]

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