total: 822, more: 70, less: 57 | diff: 19, punc: 110, sfx: 7, case: 43 [WER: 0.19]
Artificial
Special
intelligence
intelligence
is
is
said
said
to
to
have
have
huge
huge
impacts
impacts
our
our
own
own
lives
lives
and
and
even
even
society.
society
And
and
some
some
actually
actually
say
say
it's
it's
the
the
new
new
electricity.
electricity.
Since
Since
the
the
50s
fifties,
of
computer
computer
scientists
scientists
have
have
been
been
trying
trying
to
to
program
program
computers
computers
to
to
behave
behave
like
like
humans.
humans.
So
So
let's
let's
say
say
for
for
example
example,
when
you
you
want
want
to
to
teach
teach
a
a
computer
computer
what
a
whether
cat
catches.
is.
Well.
Well,
How
how
hard
hard
can
can
that
that
be,
be
right?
right.
I
I
mean
mean
after
after
all,
all,
a
a
cat
cat
is
is
just
just
a
a
collection
collection
of
of
shapes
shapes
and
and
colors.
colors
and
uh
So,
so
computer
computers
thought
scientists
insists
just
just
thought
thought.
okay
Okay,
we'll
well,
just
just
give
give
rules
rules
to
to
the
the
computer
computer
and
and
it'll
he'll
be
be
able
able
to
to
manage
manage.
well,
What
to
can't
recognize
recognize
what
what
a
a
cat
cat
is.
is
So,
so
you
should
we
we
should
should
just
just
tell
tell
to
um
the
the
computer,
computer
in
in
mathematics
mathematical
mathematical
language
language.
of
Of
course,
course,
that
that
a
the
cat
cat
has
has
a
a
round
round
face,
face
two
pointy
2.8
ears,
years
a
of
chubby
Chubby
body,
body
and
and
a
a
long
long
tail.
tail.
But.
But
what
what
about
about
this
this
cat?
cat
And,
an
what
what
about
about
if
if
the
the
cat
cat
is
is
hidden?
hidden
That
that
doesn't
doesn't
work.
work,
Giving
giving
rules
rules
to
to
computers
computer
will
will
only
only
get
get
you
you
so
so
far.
far.
So
So,
in
other
another...
um
another
another
type
typeof.
But
this
of...
is
another
another
type
type
of
of
approach
approach
was
was
developed
developed
and
in
this
the
new
new
type
type
of
of
approach
approach
developed
developed
with
was
is
called
called
machine
machine
learning.
learning
Machine
machine
learning
learning
gives
gives
computers
computers
the
the
ability
ability
to
to
learn,
learn
without
without
being
being
explicitly
explicitly
programmed.
programmed
And
as
so,
so
rather
rather
than
than
hand
hand
coding
coding
specific
specific
sets
sets
of
of
instructions,
instructions.
the
The
machine
machine
is
is
trained,
trained
using
using
large
large
amounts
amounts
of
of
data.
data
About
about
five
5
years
years
ago,
ago,
a
a
specific
specific
type
type
of
of
algorithm
algorithm
was,
was
of
machine
machine
learning
learning
algorithm
algorithm
was
was
developed,
developed
called
called
deep
deep
learning.
learning
You
you
might
may
have
have
heard
heard
of
of
deep
deep
learning
learning
algorithms,
algorithms.
that
they
They
were
were
used
used
to
to
beat
beat
humans
humans
playing
playing
go,
go
or
or
recently
recently
poker.
poker.
Men
Deep
deep
learning
learning
uses
uses
techniques
techniques
that
are,
start.
let's
Let's
say
say
loosely
loosely
inspired
inspired
from
from
how
our
our
brain
brain
works.
works
And,
and
we've
we
had
were
seen,
seeing
very
very
extremely,
extremely
well,
extremely
extremely
impressive
impressive
results
results.
because
Because
they
they
have,
have
a
a
unique
unique
ability
ability
is
to
to
identify
identified
patterns
patterns
from
from
data
data
and
and
learn
learn
from
from
it.
it.
So
So
this
this
means
means
that
that
these
these
new
new
types
types
of
of
algorithms
algorithms
can...
can
um
can
can
do...
do
it.
let's
Let's
say
say
three
3
main,
main
can
solve
three
consult
main
remain
problems.
problems.
So,
So
fed
fed
with
with
data,
data
these
these
algorithms
algorithms
can
can
generate
generate
new
new
stuff.
stuff,
So
so
for
for
example
example,
if
if
you
you
train
train.
a
A
machine
a
mashing
machine
machine
learning
learning
algorithm,
algorithm
with
with
a
a
set
set
of
of
artist
artist
painting,
painting
like
like
Picasso.
because
You
so?
feed
Feed
of
machine
machine
learning
learning
algorithm
algorithm
with
with
because
Picasso
of
paintings,
paintings,
he
he
will
will
be
be
able
able
to
to
reproduce,
reproduce
but
that
style,
style.
and
And
apply
a
plant
on
on
a
a
new
new
painting,
painting
and
and
actually,
actually.
we
We
talked
talked
about
about
Prisma
Prisma
very
very
briefly
briefly
earlier,
earlier
priest
Prisma
my
uses
uses
machine
machine
learning
learning
algorithms
algorithms
to
to
do
do
just
just
that.
that
So,
you
it
can
can
generate
generate
new
new
images,
images.
you
It
can
can
generate
generate
for
for
example
example,
new
new
texts,
text.
it's
It's
used
used
to
to
do
do
translations.
translations.
Um.
It
It
can
can
also
also
do...
do
Its
velvet
ability
ability
to
to
recognize
recognize
patterns
pattern
is
is
also
also
very
very
useful,
useful
for
for
predictions,
predictions
to
to
make
make
predictions.
predictions.
I
I
don't
don't
know
know
if
if
you've
you've
done
done
those
those
types
type
of
of
tests,
test
you
you
know,
know
what
kind
kind
of
of
like
IQ
you
tests,
test
or
or.
well,
Well,
this
this
type
type
of
of
tests
where
things
they
for
well,
their
they
they
give
give
you
you
a
a
set
set
of
of
um
of
of
numbers,
numbers
or
or
shapes
shapes
and
and
then
then
you're
you're
supposed
supposed
to
to
find
find
the
next
ones.
the
The
next
next
one.
one.
So
So
basically,
basically
what
what
you're
you're
doing
doing.
there
There
is
is
a
identifying
defying
patterns,
patterns
and
and
then
then
predict
predict
what's
what's
coming
coming
next,
next.
and
And
computers,
computers
and
in
machine
machine
learning
learning
algorithms,
algorithms
are
are
extremely
extremely
good
good
at
at
doing
doing
that.
that,
So,
so
um.
that's
That's
very
very
useful,
useful.
for
For
example
example,
in
in
the
the
business
business
world.
world.
If
If
you
you
train
train,
an
an
algorithm
algorithm
like
like
that
that
on
on
history
historical
called
sales
sales
data,
data.
it
It
can
can
help
help
you
you
forecast
forecast
the
the
demand
demand
of
of
a
a
product.
product.
These
Visa
algorithms
rhythms
also
also
very
very
good
good
and
at
Messick
making
making
associations.
associations
So
so
I'm
I'm
going
going
to
to
share
share
with
with
you
you.
an
An
example
example
but
that
I
I
really
really
like.
like,
um,
so
A
uh
machine
machine
learning
learning
algorithm
algorithm
was
was
asked
asked
to
to
find
find
associations
associations
between
between.
Um
between
between
-
sorry
sorry
-
between
between
art
art
works
works
from
from
the...
the
bridge
from
from
the
the
Tate's
Tates
collection
Collection
of
of
British
British
art
art
And
and
Reuters
rotor
images
images
from
from
2016.
2016
and
in
here,
here
is
is
what
what
the
the
algorithm
algorithm.
gave
Gave
us.
us
Associations.
associations.
I
I
think
think
it's
it's
quite
quite
interesting.
interesting.
With
With
this
this
work,
work
art
out
work,
great
he
Kia.
typed
Type
this
this
photograph
photograph
from
from
Reuters.
Reuters.
With
With
this
this
one,
one.
he
He
associated
associated
this
this
one.
one.
So
So
that's
that's
kind
kind
of
of
fun
fun,
but
but
translated
translated
in
the
trend
in
in
the
the
business
business
world,
world.
these
These
algorithms
algorithms
can
can
use,
use
I
mean,
the
the
the
association
Association
ability
ability
of
of
these
these
algorithms
algorithms.
can
Can
use
use
to
to
segment
segment
-
can
can
be
be
used
used
to
to
segment
segment
consumers
consumers
according
according
to
to
similar
similar
behaviors,
behaviors
for
for
example.
example?
Advances
Advances
in
in
machine
machine
learning
learning
are
on
not
not
only
only
do
due
thanks
to
to
the
the
advances
advancements
in
in
the
the
algorithms
algorithms
themselves.
themselves.
These
These
advances
advances
are
are
due
due
to
to
two
2
other
other
factors
factors
that
that
can
concurred
curd
at
at
the
the
same
same
time.
time
That
that
developed
developed
at
the
the
same
same
time.
time,
One
one,
is
it's
"big
speak
data".
doctor.
With
With
internet
Internet
we've
we've
been
been
producing
producing
lots
lots
and
and
lots
lots
of
of
data.
data
And
and
this
this
data
data
can
can
be
be
used
used
to
to
train
train
those
those
algorithms.
algorithms.
To
say
Say,
the
the
truth,
truth
machine
machine
learning
learning
algorithms
algorithms
or
or
or
the
the
idea
idea
of
of
machine
machine
learning
learning.
algorithms,
Algorithms
is
he
has
has
been
been,
he
developed
developed
for
for
a
a
couple
couple
of
of
years
years
or
of
even
even
the
decades,
decades,
but
but
we
we
were
were
lacking
liking.
the
That
data
data
to
to
feed
feed
them
them
enough.
enough
So,
so
that
that
was
was
a
a
big
big
thing
thing
to
to
to
help
help
him.
these
These
algorithms
algorithms
takeoff
take
off
and
and
the
the
second
second
thing
thing.
He
needed
did
was,
was
computer
computer
power,
power
which
which
now
now
we
we
have.
have
So
so
basically,
basically
today
today.
AI
AI
takes
takes
off
off
because
because
the
the
stars
stars
have
have
aligned.
aligned.
And.