<s>
Image2Text	B-Application
technology	O
was	O
created	O
by	O
Cortica	B-Application
,	O
an	O
Israel-based	O
startup	O
whose	O
technology	O
simulates	O
the	O
performance	O
of	O
the	O
human	O
cortex	O
so	O
that	O
computers	O
recognize	O
images	O
with	O
a	O
high	O
degree	O
of	O
accuracy	O
.	O
</s>
<s>
Image2Text	B-Application
is	O
the	O
result	O
of	O
10	O
years	O
in	O
research	O
and	O
development	O
and	O
is	O
protected	O
by	O
more	O
than	O
50	O
patents	O
.	O
</s>
<s>
Cortica	B-Application
's	O
engine	O
processes	O
and	O
recognizes	O
images	O
based	O
on	O
patterns	O
,	O
as	O
the	O
brain	O
does	O
,	O
providing	O
accuracy	O
purporting	O
to	O
be	O
comparable	O
with	O
that	O
of	O
the	O
human	O
brain	O
.	O
</s>
<s>
Cortica	B-Application
differentiates	O
itself	O
from	O
these	O
other	O
products	O
;	O
patterns	O
are	O
clustered	O
into	O
digital	O
concepts	O
,	O
which	O
are	O
stored	O
and	O
mapped	B-Algorithm
to	O
keywords	O
and	O
contextual	O
taxonomies	O
that	O
enable	O
it	O
to	O
interpret	O
the	O
content	O
appearing	O
in	O
the	O
digital	O
media	O
.	O
</s>
<s>
Cortica	B-Application
's	O
Image2Text	B-Application
technology	O
associates	O
images	O
with	O
concepts	O
and	O
enables	O
a	O
host	O
of	O
business	O
opportunities	O
.	O
</s>
<s>
The	O
technology	O
has	O
implications	O
for	O
augmented	B-General_Concept
reality	I-General_Concept
,	O
a	O
visual	O
technology	O
that	O
experts	O
say	O
will	O
improve	O
when	O
it	O
incorporates	O
computer	B-Application
vision	I-Application
and	O
dynamic	O
mapping	O
of	O
the	O
real	O
world	O
environment	O
.	O
</s>
<s>
In	O
addition	O
,	O
computer	B-Application
vision	I-Application
technologies	O
,	O
like	O
those	O
guided	O
by	O
Image2Text	B-Application
,	O
have	O
been	O
integrated	O
into	O
self-driving	O
cars	O
to	O
help	O
identify	O
road	O
hazards	O
.	O
</s>
