machine learning
well within a computation is the process of using d n a
two or we input the information into the strands of the dinner and the report
performing some operations on it we're looking at a single sound silly it has the
a mechanism called gene assembly and basically inside of it has a micro nucleus and
american at this
and the micro nucleus contains these segments that go and form the macro nucleus and
in the process aging assembly there are the rearranged because in the management of this
their split up and their inverted and their sections in between them so in the
gene assembly process
we take it and we cut out all of the all the junk from the
center and the mean rating rearranging the order so it's one two three four five
and looking at waist harnesses power and use it for computational purposes
the benefit of this is that you can perform so that the same operation and
hundreds of strands hundred thousand so strands the same
and then once we find it you can separate it and called it out in
there may need to establish what can in can be computed and how we can
use the use the how we can use what we're looking at the single cell
so it's to for the computation we need to know exactly what happens when you
do certain actions on it and so we're looking at the algebra or algebraic properties
various
functions
being able to compute in parallel like this with d n a computing a you'll
be able to compute
non deterministic lee which up until now is just an theory which basically means that
you can just compute everything every possibility although the same time and come up with
the right one if it exists
and that would increase the about what we can do this
machine learning