so you think that all the people will
talk about how robots are going to take
over and it wouldn’t actually have to
not read but the fact that it is we’re
actually still in the beginning stages
the robotics revolution and if we
actually illustrate our Wiseman can
society first were to talk about what
were vices and we’re gonna look at a
brief history of robotics and then treat
some applications that I can really cool
and I think have a possibility to really
discuss society so it is most basic form
of a robot that just a machine that can
think sense an app and this very much
imitates the way humans in it for
example if I was walking across stage
and it’s all kind of glass I first
received a visual input and I’ve seen
the glass I would didn’t think about it
think about my past experience through
the class are you know it’s dangerous
and then I would act by avoiding it and
the first robot that was actually able
to save big sense and acts in an
industrial setting was the enemy in 1954
and this was the first industrial robot
it was created by General Motors
younameit was designed so that it could
pick up metal blocks off the conveyor
belt and above them and this provided
benefits over traditional human labor
because willing is dangerous pulled from
the temperatures and the fumes and is
the more efficient as well but the
problem of the unit was that he was not
easily programmable and so it was quite
specifically for this task at the
reprogramming for a different task
it was very difficult about 20 years
later the IRB snakes came along and this
eventually went maybe these robotic arms
the program looks pretty familiar and
this was fully electric and very easily
program and so this actually saw all
success in the automobile industry but
it was also able to be used in other
industries too because it was so easily
programmable and so after the production
of this arm it actually came commonplace
factories for robots to be a fun way to
come up over well we ready to the same
issue with this robot that we did with
you to me and that it can act well but
babies in sensing very basic thinking
and so if I would be want to move a box
from position a to position B it could
do that but the Box slightly it would be
able to sense that and it doesn’t so
what about five years later that because
like I came out and this was a system
that was also designed for using a
conveyor belt
except this system had a camera on board
and he can actually distinguish between
six different types kinds of all of the
parts on the conveyor belt this opened a
new field in robotics how do you process
an image such that a computer can
understand
how can you tell a machine that one auto
part is different from another
so this hoping that they feel it would
be computer vision and it also opened
the field of artificial intelligence
where the goal was to create the machine
that can think and rationalize the
kingdom so definition of artificial
intelligence I like to use drama
Karthik’s definition looks a little bit
like the fantasy guy is it’s making
machine behave in a way that would be
considered intelligent and even more
motivated so if you look at the example
it’s moving blocks from one part of the
conveyor belt to another there in
welding it Heather would be considered
intelligent necessarily but the ability
to distinguish between six different
kinds of automobile parts in real time
could be considered human colors
artificial colors and the general goal
of AI was to create a robot that could
think move and acts like a human and
this is extremely useful in the industry
because if you could have a robot that
been there even a human movement for
example and you could take over the task
of incubating
so wouldn’t this be this arm doesn’t
something come on TV back
Senya for an exact task and human before
and it was until 1997 that they are
really coming out and in this picture
that you saw you see Gary Kasparov lost
a game of testing the current test
hanging at the time do I beams deep blue
which was a test they are and people
believed for a long time there’s no baby
to be able to beat humans and Harry even
gave the couple are quite a different
kind of reasoning but test pretty good
when he had Jess it opened up the door
for only one two possibilities
if test it has to be one day Peter over
a teaming with us came across to what
else are robust better than than humans
now if I spend compressed of the talk
talking about all the history of
robotics we’ll be here for over a few
days so I’m gonna focus on some of us
and I find really cool and something you
need to do something to be bespoke so if
you see in this picture here they’ve
been a lot of go into robotics since the
artists we have exoskeletons we have
autonomous cars we have drones to
Agricole for robots virtual reality even
have stock trading robots and actually a
majority of stock trades done nowadays
are done by robots now if we look at the
military industry this is a video of
Boston Dynamics Atlas robot and you can
see we’ve come a long way since the
unity and 1954 so this is about sixty
years later and you can see that it has
I believe they feel like appearance but
also movements as well and when I first
saw this video I actually thought it was
big because of the human standing suit
you can even see what amazing squads a
human doesn’t analysis and set up with
the fluid and so this is kind of a
state-of-the-art you control in robotics
creativity if you see this surprising
immense amount of engineering and all
the thinking
really find perform those who knows the
next application that the techniques
sing as well and buried itself this is
the on this car and you probably heard
about it before and it’s even available
from the market and that’s something
that’s a key thing about this
application over other robust tow truck
and so this one is actually for sale and
this is Tesla’s autopilot system and you
can see here there’s a camera equip the
car and it’s also doing the thinking
sensing acne will find that also in the
situation where it’s very dangerous for
humans being so one of the few
industries that ignore dangerous in this
tactic program one would be the
aerospace industry and so this two shows
that the level of confidence we have in
a machine so that it would be that we
would allow it to drive us around in the
car next thing you see is one that I’m
personally working right now and this is
the medical industry and I’m working at
the EVAs multi scale Robotics Club and
this machine you see behind me is called
the automatic and it doesn’t look like a
traditional robot but what it does is
it’s designed for Mike robotic surgery
so the idea is we take a MicroBot even
depth into the eye and then by using
magnetic field and taking strengthen
each of these magnets you can actually
move the microwatt arrived in the eye
and so you can use this to perform
surgeries maybe else you just retarded
doctor livery and you can coat these
micro robots in a drug and then drive
the specific part with the Idlib metro
and beyond an automatic we also have a
party my work is done for heart surgery
it is you lay down the stigma sheet the
magnets are quite a bit larger and then
they would run a catheter
so there’s a moral vein in your leg and
then what is in your heart you can guide
it around and actually disparate issue
that’s causing everything else for
example so the applications of this are
pretty immense also the medical industry
but slightly different knots of arbor
focus is the advantage we’ve seen in
machine learning and heard about the
totally other speakers but it’s actually
incredible what we’ve done in the last
twenty years and so this have a peek
behind you see that they appear is
learning to detect cancer from the
negative of the tumor and the really
interesting thing about this is that the
algorithm is used to detect cancer here
you can also use the detective
difference between uh Department of
America or the difference between
different kind of fruits on a farm so
it’s the same algorithm but it’s applied
to a positive patient test and the thing
is as we keep learning from more and
more examples it gets better and better
so he didn’t feed my stack of images of
cancerous tumors and not interesting was
it we learn the difference automatically
and so how does that be upset grows in
theory got more and more accuracy from
algorithm so the three main points I’d
like to take away from this and how this
is going to name society is one that
data’s have become more and more
important and so how to tailor the
machine learning algorithm you Fitness
monopoly kind of effect and imagine that
you want to go to the doctor and you
want to get the tumor automatically
diagnosed from one these machine on the
learning coverage you would definitely
go to the doctor with the highest
accuracy rate and so we would have gone
through the highest accuracy rate not
only are you being classified but you’re
also being learned on and so that Albert
will get better
and I said where to put the data
controls the power secondly more dr.
become elevated now that was kind of
obviously this kind of already happening
and if you think about the ATM for
example which is been around for a while
we said tell it before that and now it’s
commonplace we put a machine and you
interact new trick your card you gonna
documents that you can pull and it’s not
what the test lot of my nose has been to
thus with cars to be Thomas as well and
you even apply the same technology to
trucks and so you can take over quicker
result which is a huge percent of the
flip over pissed me off redundant and
third of all I really urge you to
familiarize with some of the technology
is what we see with technology
revolutions is that but people who adopt
the technology early or the ones who
benefit the most and the people who fall
behind it only wants to benefit police
so I encourage you to look about look up
how robots can help you in your field or
what’s going on in their field even
proximity cannot be hurt and this repair
yourself we remember yourself this
afternoon with what’s going on because
he can take advantage of the technics
come along then you can part us up so I’m thirty to join robotic revolution
talk about how robots are going to take
over and it wouldn’t actually have to
not read but the fact that it is we’re
actually still in the beginning stages
the robotics revolution and if we
actually illustrate our Wiseman can
society first were to talk about what
were vices and we’re gonna look at a
brief history of robotics and then treat
some applications that I can really cool
and I think have a possibility to really
discuss society so it is most basic form
of a robot that just a machine that can
think sense an app and this very much
imitates the way humans in it for
example if I was walking across stage
and it’s all kind of glass I first
received a visual input and I’ve seen
the glass I would didn’t think about it
think about my past experience through
the class are you know it’s dangerous
and then I would act by avoiding it and
the first robot that was actually able
to save big sense and acts in an
industrial setting was the enemy in 1954
and this was the first industrial robot
it was created by General Motors
younameit was designed so that it could
pick up metal blocks off the conveyor
belt and above them and this provided
benefits over traditional human labor
because willing is dangerous pulled from
the temperatures and the fumes and is
the more efficient as well but the
problem of the unit was that he was not
easily programmable and so it was quite
specifically for this task at the
reprogramming for a different task
it was very difficult about 20 years
later the IRB snakes came along and this
eventually went maybe these robotic arms
the program looks pretty familiar and
this was fully electric and very easily
program and so this actually saw all
success in the automobile industry but
it was also able to be used in other
industries too because it was so easily
programmable and so after the production
of this arm it actually came commonplace
factories for robots to be a fun way to
come up over well we ready to the same
issue with this robot that we did with
you to me and that it can act well but
babies in sensing very basic thinking
and so if I would be want to move a box
from position a to position B it could
do that but the Box slightly it would be
able to sense that and it doesn’t so
what about five years later that because
like I came out and this was a system
that was also designed for using a
conveyor belt
except this system had a camera on board
and he can actually distinguish between
six different types kinds of all of the
parts on the conveyor belt this opened a
new field in robotics how do you process
an image such that a computer can
understand
how can you tell a machine that one auto
part is different from another
so this hoping that they feel it would
be computer vision and it also opened
the field of artificial intelligence
where the goal was to create the machine
that can think and rationalize the
kingdom so definition of artificial
intelligence I like to use drama
Karthik’s definition looks a little bit
like the fantasy guy is it’s making
machine behave in a way that would be
considered intelligent and even more
motivated so if you look at the example
it’s moving blocks from one part of the
conveyor belt to another there in
welding it Heather would be considered
intelligent necessarily but the ability
to distinguish between six different
kinds of automobile parts in real time
could be considered human colors
artificial colors and the general goal
of AI was to create a robot that could
think move and acts like a human and
this is extremely useful in the industry
because if you could have a robot that
been there even a human movement for
example and you could take over the task
of incubating
so wouldn’t this be this arm doesn’t
something come on TV back
Senya for an exact task and human before
and it was until 1997 that they are
really coming out and in this picture
that you saw you see Gary Kasparov lost
a game of testing the current test
hanging at the time do I beams deep blue
which was a test they are and people
believed for a long time there’s no baby
to be able to beat humans and Harry even
gave the couple are quite a different
kind of reasoning but test pretty good
when he had Jess it opened up the door
for only one two possibilities
if test it has to be one day Peter over
a teaming with us came across to what
else are robust better than than humans
now if I spend compressed of the talk
talking about all the history of
robotics we’ll be here for over a few
days so I’m gonna focus on some of us
and I find really cool and something you
need to do something to be bespoke so if
you see in this picture here they’ve
been a lot of go into robotics since the
artists we have exoskeletons we have
autonomous cars we have drones to
Agricole for robots virtual reality even
have stock trading robots and actually a
majority of stock trades done nowadays
are done by robots now if we look at the
military industry this is a video of
Boston Dynamics Atlas robot and you can
see we’ve come a long way since the
unity and 1954 so this is about sixty
years later and you can see that it has
I believe they feel like appearance but
also movements as well and when I first
saw this video I actually thought it was
big because of the human standing suit
you can even see what amazing squads a
human doesn’t analysis and set up with
the fluid and so this is kind of a
state-of-the-art you control in robotics
creativity if you see this surprising
immense amount of engineering and all
the thinking
really find perform those who knows the
next application that the techniques
sing as well and buried itself this is
the on this car and you probably heard
about it before and it’s even available
from the market and that’s something
that’s a key thing about this
application over other robust tow truck
and so this one is actually for sale and
this is Tesla’s autopilot system and you
can see here there’s a camera equip the
car and it’s also doing the thinking
sensing acne will find that also in the
situation where it’s very dangerous for
humans being so one of the few
industries that ignore dangerous in this
tactic program one would be the
aerospace industry and so this two shows
that the level of confidence we have in
a machine so that it would be that we
would allow it to drive us around in the
car next thing you see is one that I’m
personally working right now and this is
the medical industry and I’m working at
the EVAs multi scale Robotics Club and
this machine you see behind me is called
the automatic and it doesn’t look like a
traditional robot but what it does is
it’s designed for Mike robotic surgery
so the idea is we take a MicroBot even
depth into the eye and then by using
magnetic field and taking strengthen
each of these magnets you can actually
move the microwatt arrived in the eye
and so you can use this to perform
surgeries maybe else you just retarded
doctor livery and you can coat these
micro robots in a drug and then drive
the specific part with the Idlib metro
and beyond an automatic we also have a
party my work is done for heart surgery
it is you lay down the stigma sheet the
magnets are quite a bit larger and then
they would run a catheter
so there’s a moral vein in your leg and
then what is in your heart you can guide
it around and actually disparate issue
that’s causing everything else for
example so the applications of this are
pretty immense also the medical industry
but slightly different knots of arbor
focus is the advantage we’ve seen in
machine learning and heard about the
totally other speakers but it’s actually
incredible what we’ve done in the last
twenty years and so this have a peek
behind you see that they appear is
learning to detect cancer from the
negative of the tumor and the really
interesting thing about this is that the
algorithm is used to detect cancer here
you can also use the detective
difference between uh Department of
America or the difference between
different kind of fruits on a farm so
it’s the same algorithm but it’s applied
to a positive patient test and the thing
is as we keep learning from more and
more examples it gets better and better
so he didn’t feed my stack of images of
cancerous tumors and not interesting was
it we learn the difference automatically
and so how does that be upset grows in
theory got more and more accuracy from
algorithm so the three main points I’d
like to take away from this and how this
is going to name society is one that
data’s have become more and more
important and so how to tailor the
machine learning algorithm you Fitness
monopoly kind of effect and imagine that
you want to go to the doctor and you
want to get the tumor automatically
diagnosed from one these machine on the
learning coverage you would definitely
go to the doctor with the highest
accuracy rate and so we would have gone
through the highest accuracy rate not
only are you being classified but you’re
also being learned on and so that Albert
will get better
and I said where to put the data
controls the power secondly more dr.
become elevated now that was kind of
obviously this kind of already happening
and if you think about the ATM for
example which is been around for a while
we said tell it before that and now it’s
commonplace we put a machine and you
interact new trick your card you gonna
documents that you can pull and it’s not
what the test lot of my nose has been to
thus with cars to be Thomas as well and
you even apply the same technology to
trucks and so you can take over quicker
result which is a huge percent of the
flip over pissed me off redundant and
third of all I really urge you to
familiarize with some of the technology
is what we see with technology
revolutions is that but people who adopt
the technology early or the ones who
benefit the most and the people who fall
behind it only wants to benefit police
so I encourage you to look about look up
how robots can help you in your field or
what’s going on in their field even
proximity cannot be hurt and this repair
yourself we remember yourself this
afternoon with what’s going on because
he can take advantage of the technics
come along then you can part us up so I’m thirty to join robotic revolution
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