cannot tell me of the human mind is such a beautiful and complicated
is such a beautiful and complicated
is such a beautiful and complicated structure I love it you hold so much
structure I love it you hold so much
structure I love it you hold so much mystery mysteries deeper than the least
mystery mysteries deeper than the least
mystery mysteries deeper than the least explored underwater life the human brain
explored underwater life the human brain
explored underwater life the human brain is said to have over a hundred billion
is said to have over a hundred billion
is said to have over a hundred billion nerve cells or wise known as neurons
nerve cells or wise known as neurons
nerve cells or wise known as neurons now which neuron is intricately
now which neuron is intricately
now which neuron is intricately connected to some 10,000 other neurons I
connected to some 10,000 other neurons I
connected to some 10,000 other neurons I didn’t put this in perspective for you
didn’t put this in perspective for you
didn’t put this in perspective for you just in case of having a hard time
just in case of having a hard time
just in case of having a hard time crunching these numbers that is more
crunching these numbers that is more
crunching these numbers that is more than the number of stars in the Milky
than the number of stars in the Milky
than the number of stars in the Milky Way galaxy
Way galaxy
Way galaxy do you know from one single human brain
do you know from one single human brain
do you know from one single human brain if you were to lay out each neuron
if you were to lay out each neuron
if you were to lay out each neuron end-to-end you can wrap it around the
end-to-end you can wrap it around the
end-to-end you can wrap it around the earth twice not a ball or a jumbo-sized
earth twice not a ball or a jumbo-sized
earth twice not a ball or a jumbo-sized airplane not the world’s largest
airplane not the world’s largest
airplane not the world’s largest auditorium V and twice I got two words
auditorium V and twice I got two words
auditorium V and twice I got two words for you amaze balls the human brain is
for you amaze balls the human brain is
for you amaze balls the human brain is such an amazing and impressive organa I
such an amazing and impressive organa I
such an amazing and impressive organa I think this probably God’s best gift to
think this probably God’s best gift to
think this probably God’s best gift to mankind the study that shows that your
mankind the study that shows that your
mankind the study that shows that your human brain is 230 times more powerful
human brain is 230 times more powerful
human brain is 230 times more powerful and so the world’s best supercomputers
and so the world’s best supercomputers
and so the world’s best supercomputers now for research by two students from
now for research by two students from
now for research by two students from Kennedy Mellon University shows that
Kennedy Mellon University shows that
Kennedy Mellon University shows that your human brains computing ability can
your human brains computing ability can
your human brains computing ability can fetch you between $4,700 so hundred and
fetch you between $4,700 so hundred and
fetch you between $4,700 so hundred and four thousand dollars or an hourly basis
four thousand dollars or an hourly basis
four thousand dollars or an hourly basis if you decide to rinse it out everything
if you decide to rinse it out everything
if you decide to rinse it out everything at school yeah right yeah but here’s the
at school yeah right yeah but here’s the
at school yeah right yeah but here’s the thing though you might say like you know
thing though you might say like you know
thing though you might say like you know while we talking about this whole human
while we talking about this whole human
while we talking about this whole human brain I cannot throw it came here to
brain I cannot throw it came here to
brain I cannot throw it came here to learn something cool about AI but that’s
learn something cool about AI but that’s
learn something cool about AI but that’s because everyone was so often we feel to
because everyone was so often we feel to
because everyone was so often we feel to take a step back to appreciate some of
take a step back to appreciate some of
take a step back to appreciate some of the collective works as gone into a
the collective works as gone into a
the collective works as gone into a technological revolution all thanks to
technological revolution all thanks to
technological revolution all thanks to the human brain now in 2016 those study
the human brain now in 2016 those study
the human brain now in 2016 those study carried out by three Chinese researchers
carried out by three Chinese researchers
carried out by three Chinese researchers and it was the goo we wanted to compare
and it was the goo we wanted to compare
and it was the goo we wanted to compare the IQs of summer world’s most famous AI
the IQs of summer world’s most famous AI
the IQs of summer world’s most famous AI systems top of the list was goo goo it’s
systems top of the list was goo goo it’s
systems top of the list was goo goo it’s a comment an IQ score of about forty
a comment an IQ score of about forty
a comment an IQ score of about forty seven point three and the next in line
seven point three and the next in line
seven point three and the next in line was Chinese search engine bay do a
was Chinese search engine bay do a
was Chinese search engine bay do a three Analects and I was Microsoft being
three Analects and I was Microsoft being
three Analects and I was Microsoft being a 32 and then followed by Siri a 24 now
a 32 and then followed by Siri a 24 now
a 32 and then followed by Siri a 24 now why am I surprised you googled leads the
why am I surprised you googled leads the
why am I surprised you googled leads the average tech back like you know IQ score
average tech back like you know IQ score
average tech back like you know IQ score there but the average six out has an IQ
there but the average six out has an IQ
there but the average six out has an IQ of wafer it 55.5 don’t you just love
of wafer it 55.5 don’t you just love
of wafer it 55.5 don’t you just love that
that
that guys let’s use our head so they the body
guys let’s use our head so they the body
guys let’s use our head so they the body in concept of artificial intelligence
in concept of artificial intelligence
in concept of artificial intelligence surrounds us everywhere we go not just
surrounds us everywhere we go not just
surrounds us everywhere we go not just an idea
an idea
an idea well cross Club since application use
well cross Club since application use
well cross Club since application use case in our video games now FIFA and a
case in our video games now FIFA and a
case in our video games now FIFA and a far cry Call of Duty whatever even as
far cry Call of Duty whatever even as
far cry Call of Duty whatever even as email spam filters so our bar when isn’t
email spam filters so our bar when isn’t
email spam filters so our bar when isn’t so surprising or is the goggle maps when
so surprising or is the goggle maps when
so surprising or is the goggle maps when it’s rerouting you like you know a
it’s rerouting you like you know a
it’s rerouting you like you know a application has become so ubiquitous in
application has become so ubiquitous in
application has become so ubiquitous in our everyday life that we had to
our everyday life that we had to
our everyday life that we had to recognize it a lot before I proceed a
recognize it a lot before I proceed a
recognize it a lot before I proceed a salute to Primus what artificial
salute to Primus what artificial
salute to Primus what artificial intelligences it is that it is
intelligences it is that it is
intelligences it is that it is empowering simply just empowering our
empowering simply just empowering our
empowering simply just empowering our computer systems the ability to
computer systems the ability to
computer systems the ability to independently learn think and then make
independently learn think and then make
independently learn think and then make decisions on their own without the help
decisions on their own without the help
decisions on their own without the help of his creator now give a little story
of his creator now give a little story
of his creator now give a little story when I was growing up my neighbors had
when I was growing up my neighbors had
when I was growing up my neighbors had this desktop system I think was my first
this desktop system I think was my first
this desktop system I think was my first experience of it and that that’s what
experience of it and that that’s what
experience of it and that that’s what some reason had taken a display monitor
some reason had taken a display monitor
some reason had taken a display monitor to work only thing I left was a keyboard
to work only thing I left was a keyboard
to work only thing I left was a keyboard and the CPU never playing one of the
and the CPU never playing one of the
and the CPU never playing one of the kids came up to me and said or did you
kids came up to me and said or did you
kids came up to me and said or did you know I met type in your name on this
know I met type in your name on this
know I met type in your name on this computer this keyboard I consider
computer this keyboard I consider
computer this keyboard I consider display monitor you remember your face
display monitor you remember your face
display monitor you remember your face your age what you wore but tell you who
your age what you wore but tell you who
your age what you wore but tell you who host of teens I was just too good to be
host of teens I was just too good to be
host of teens I was just too good to be true I was like wow we do mean it
true I was like wow we do mean it
true I was like wow we do mean it following the around to the house was
following the around to the house was
following the around to the house was very excited like you know waiting for
very excited like you know waiting for
very excited like you know waiting for this computer know it’s recognizing like
this computer know it’s recognizing like
this computer know it’s recognizing like you know I stood there waiting for it
you know I stood there waiting for it
you know I stood there waiting for it and I was disappointed like this
and I was disappointed like this
and I was disappointed like this computer to recognize me and y’all
computer to recognize me and y’all
computer to recognize me and y’all laughed of me like you know for being so
laughed of me like you know for being so
laughed of me like you know for being so naive
naive
naive after so much journey I’m laughing but
after so much journey I’m laughing but
after so much journey I’m laughing but today at jokes on us
today at jokes on us
today at jokes on us why because computer systems now can I
why because computer systems now can I
why because computer systems now can I recognize those first speech and audio
recognize those first speech and audio
recognize those first speech and audio by visual recognition systems just
by visual recognition systems just
by visual recognition systems just recently I came across the works of a
recently I came across the works of a
recently I came across the works of a young my hair Nigeria by name of Allah
young my hair Nigeria by name of Allah
young my hair Nigeria by name of Allah DG and this is what he created using the
DG and this is what he created using the
DG and this is what he created using the concept of OCR and machine learning
concept of OCR and machine learning
concept of OCR and machine learning a system with ability to
a system with ability to
a system with ability to cognise our own Nigerian number plates
cognise our own Nigerian number plates
cognise our own Nigerian number plates I’m asleep
I’m asleep
I’m asleep what’s the big deal well it’s a big deal
what’s the big deal well it’s a big deal
what’s the big deal well it’s a big deal because works like this can lead to the
because works like this can lead to the
because works like this can lead to the advancement of catching traffic
advancement of catching traffic
advancement of catching traffic offenders and in hero wrong cases
offenders and in hero wrong cases
offenders and in hero wrong cases justice to be served so much more we can
justice to be served so much more we can
justice to be served so much more we can do it’s AI here locally as Nigerians and
do it’s AI here locally as Nigerians and
do it’s AI here locally as Nigerians and as Africans to solve our own unique
as Africans to solve our own unique
as Africans to solve our own unique person needs acid couple of ideas
person needs acid couple of ideas
person needs acid couple of ideas fighters actually for us to follow in
fighters actually for us to follow in
fighters actually for us to follow in Chechnya or an innovation course number
Chechnya or an innovation course number
Chechnya or an innovation course number one let us build AI systems that always
one let us build AI systems that always
one let us build AI systems that always learn if I were to ax e what is the
learn if I were to ax e what is the
learn if I were to ax e what is the better option of going from a jaw so
better option of going from a jaw so
better option of going from a jaw so ballon D option a take it down foo which
ballon D option a take it down foo which
ballon D option a take it down foo which in turn are fifteen are two trillion
in turn are fifteen are two trillion
in turn are fifteen are two trillion error
error
error I’ll take the lock box option B what’s
I’ll take the lock box option B what’s
I’ll take the lock box option B what’s under there
under there
under there you must might when I say option B it’s
you must might when I say option B it’s
you must might when I say option B it’s cheaper but those who are familiar with
cheaper but those who are familiar with
cheaper but those who are familiar with this route almost like to say option a
this route almost like to say option a
this route almost like to say option a why is that and this is my fluids more
why is that and this is my fluids more
why is that and this is my fluids more expensive I like that number one it’s
expensive I like that number one it’s
expensive I like that number one it’s faster that’s a loading time and
faster that’s a loading time and
faster that’s a loading time and secondly it’s more popular and it’s
secondly it’s more popular and it’s
secondly it’s more popular and it’s ready that really me now let’s say
ready that really me now let’s say
ready that really me now let’s say hypothetically lagos state governments
hypothetically lagos state governments
hypothetically lagos state governments decided to create dedicate the lane all
decided to create dedicate the lane all
decided to create dedicate the lane all the way from a jaw so Berlin de la salud
the way from a jaw so Berlin de la salud
the way from a jaw so Berlin de la salud in time fast the same price dedicated
in time fast the same price dedicated
in time fast the same price dedicated Lane it dynamics of the game would
Lane it dynamics of the game would
Lane it dynamics of the game would change and why is this because your
change and why is this because your
change and why is this because your option B right now way cheaper at the
option B right now way cheaper at the
option B right now way cheaper at the same time so less traffic no house is
same time so less traffic no house is
same time so less traffic no house is right there now I see based on what
right there now I see based on what
right there now I see based on what you’ve learned right now and that’s
you’ve learned right now and that’s
you’ve learned right now and that’s based what you’re playing right now
based what you’re playing right now
based what you’re playing right now that’s because you’ve you’ve been able
that’s because you’ve you’ve been able
that’s because you’ve you’ve been able to reroute all of this whole thing right
to reroute all of this whole thing right
to reroute all of this whole thing right there and it might interest you to know
there and it might interest you to know
there and it might interest you to know that additional intelligence isn’t
that additional intelligence isn’t
that additional intelligence isn’t necessarily clicking the lasers chat
necessarily clicking the lasers chat
necessarily clicking the lasers chat about technology it isn’t about
about technology it isn’t about
about technology it isn’t about cooperate symposium you lied on my
cooperate symposium you lied on my
cooperate symposium you lied on my person to your subject or you like them
person to your subject or you like them
person to your subject or you like them so floor whatever there you real work
so floor whatever there you real work
so floor whatever there you real work here guys it’s about building a
here guys it’s about building a
here guys it’s about building a continuous learning loop our system
continuous learning loop our system
continuous learning loop our system should be able
should be able
should be able to continuously learn part number tune
to continuously learn part number tune
to continuously learn part number tune breaking new ground always requires some
breaking new ground always requires some
breaking new ground always requires some sort of barefoot and I’m sure most of
sort of barefoot and I’m sure most of
sort of barefoot and I’m sure most of you can relate with it to say the
you can relate with it to say the
you can relate with it to say the kaprosuchus this room wasn’t built in a
kaprosuchus this room wasn’t built in a
kaprosuchus this room wasn’t built in a day
day
day as cliche as that sounds that fruit
as cliche as that sounds that fruit
as cliche as that sounds that fruit still holds today well supported time in
still holds today well supported time in
still holds today well supported time in the history of an entire entertainment
the history of an entire entertainment
the history of an entire entertainment industry many of us sitting right here
industry many of us sitting right here
industry many of us sitting right here intimately since in Andhra music our
intimately since in Andhra music our
intimately since in Andhra music our allegiance was a foreign music but enjoy
allegiance was a foreign music but enjoy
allegiance was a foreign music but enjoy music stay away although it was but
music stay away although it was but
music stay away although it was but today totally different story not only I
today totally different story not only I
today totally different story not only I will listen and bind and your music
will listen and bind and your music
will listen and bind and your music online drum music since your music is
online drum music since your music is
online drum music since your music is now been exported globally a
now been exported globally a
now been exported globally a technological space should be any
technological space should be any
technological space should be any different I rise this see these guys are
different I rise this see these guys are
different I rise this see these guys are celebrating today
celebrating today
celebrating today the reason we’re doing this is cause
the reason we’re doing this is cause
the reason we’re doing this is cause some le players and game had put a lot
some le players and game had put a lot
some le players and game had put a lot of hard work and share foots right there
of hard work and share foots right there
of hard work and share foots right there let us know shy away from the hard work
let us know shy away from the hard work
let us know shy away from the hard work required for groundbreaking African and
required for groundbreaking African and
required for groundbreaking African and global innovation and we can do this I
global innovation and we can do this I
global innovation and we can do this I already headed down that but the next
already headed down that but the next
already headed down that but the next five to ten years I sent african
five to ten years I sent african
five to ten years I sent african technological space in which we have
technological space in which we have
technological space in which we have producing global unicorns
producing global unicorns
producing global unicorns now am i interested in you know just to
now am i interested in you know just to
now am i interested in you know just to further emphasize on the whole
further emphasize on the whole
further emphasize on the whole importance of share for my trusted
importance of share for my trusted
importance of share for my trusted signora the initial training data set is
signora the initial training data set is
signora the initial training data set is for Lara’s natural language processing
for Lara’s natural language processing
for Lara’s natural language processing system took my team and I four months
system took my team and I four months
system took my team and I four months together we find all of these who data
together we find all of these who data
together we find all of these who data and Lara to date is still learning and
and Lara to date is still learning and
and Lara to date is still learning and it’s too much more to be done part
it’s too much more to be done part
it’s too much more to be done part number three
number three
number three localization and this is time for the
localization and this is time for the
localization and this is time for the test
test
test if you are true sons and daughters of
if you are true sons and daughters of
if you are true sons and daughters of the soy hey how’s it going it’s a
the soy hey how’s it going it’s a
the soy hey how’s it going it’s a popular way to say hello in danger yes
popular way to say hello in danger yes
popular way to say hello in danger yes or no no it’s not how far that’s how we
or no no it’s not how far that’s how we
or no no it’s not how far that’s how we say he’ll around here Otsu songs and no
say he’ll around here Otsu songs and no
say he’ll around here Otsu songs and no need to be like how far how far is worth
need to be like how far how far is worth
need to be like how far how far is worth like it’s pretty confusing when I say in
like it’s pretty confusing when I say in
like it’s pretty confusing when I say in vino the same way how we understand the
vino the same way how we understand the
vino the same way how we understand the same things the same way the AI systems
same things the same way the AI systems
same things the same way the AI systems rebuilt should be able to pick up and
rebuilt should be able to pick up and
rebuilt should be able to pick up and interpret sets in nuances that are
interpret sets in nuances that are
interpret sets in nuances that are integral to our core this is what makes
integral to our core this is what makes
integral to our core this is what makes our AI projects
our AI projects
our AI projects truly unique now today you’ve seen how a
truly unique now today you’ve seen how a
truly unique now today you’ve seen how a has been applied to solve our own
has been applied to solve our own
has been applied to solve our own specific transportation challenges here
specific transportation challenges here
specific transportation challenges here in Africa in danger now imagine how much
in Africa in danger now imagine how much
in Africa in danger now imagine how much more could be doing which are applied it
more could be doing which are applied it
more could be doing which are applied it to a telecoms so our healthcare so our
to a telecoms so our healthcare so our
to a telecoms so our healthcare so our power – I agreed but isn’t gentlemen
power – I agreed but isn’t gentlemen
power – I agreed but isn’t gentlemen magic will happen or number four I think
magic will happen or number four I think
magic will happen or number four I think something actually into whole if you
something actually into whole if you
something actually into whole if you don’t get anything here today
don’t get anything here today
don’t get anything here today collaboration as the doc said before I
collaboration as the doc said before I
collaboration as the doc said before I say we seem very daunting
say we seem very daunting
say we seem very daunting it has lent to build together a whole
it has lent to build together a whole
it has lent to build together a whole community the last soup they return each
community the last soup they return each
community the last soup they return each other successes putting in your form of
other successes putting in your form of
other successes putting in your form of ego no more man is an island
ego no more man is an island
ego no more man is an island it tree doesn’t make a forest represent
it tree doesn’t make a forest represent
it tree doesn’t make a forest represent areas of knowledge and effort should
areas of knowledge and effort should
areas of knowledge and effort should continue to be inverted across our
continue to be inverted across our
continue to be inverted across our communities a big shout out to the
communities a big shout out to the
communities a big shout out to the various Android developer communities
various Android developer communities
various Android developer communities already did an awesome job big shout out
already did an awesome job big shout out
already did an awesome job big shout out to you keep that fire burning now so
to you keep that fire burning now so
to you keep that fire burning now so many have seen at school story like you
many have seen at school story like you
many have seen at school story like you know I can’t do AI like what does it
know I can’t do AI like what does it
know I can’t do AI like what does it really take care poor can I really do
really take care poor can I really do
really take care poor can I really do this
this
this well given you just experience my like
well given you just experience my like
well given you just experience my like you know I say you can do it which hard
you know I say you can do it which hard
you know I say you can do it which hard work determination and in the right
work determination and in the right
work determination and in the right collaboration take me for instance now I
collaboration take me for instance now I
collaboration take me for instance now I do know I’m not a stuff to engineer all
do know I’m not a stuff to engineer all
do know I’m not a stuff to engineer all I have is a background in mechanical
I have is a background in mechanical
I have is a background in mechanical engineering we’re gonna make some design
engineering we’re gonna make some design
engineering we’re gonna make some design thinking and data science but with the
thinking and data science but with the
thinking and data science but with the right collaborators support from the
right collaborators support from the
right collaborators support from the tech industry I’ve been able to push
tech industry I’ve been able to push
tech industry I’ve been able to push Lara to the market and the final doesn’t
Lara to the market and the final doesn’t
Lara to the market and the final doesn’t leave you let us remember this Africa is
leave you let us remember this Africa is
leave you let us remember this Africa is the world’s last blue ocean for
the world’s last blue ocean for
the world’s last blue ocean for technology our problems our assets now
technology our problems our assets now
technology our problems our assets now if you can write on each other’s ideas
if you can write on each other’s ideas
if you can write on each other’s ideas and some of the ideas are shared with
and some of the ideas are shared with
and some of the ideas are shared with you today then we stand a chance of the
you today then we stand a chance of the
you today then we stand a chance of the frog in our own development challenges
frog in our own development challenges
frog in our own development challenges through technology thank you
”
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