0:00:00machine learning
0:00:10well within a computation is the process of using d n a
0:00:15two or we input the information into the strands of the dinner and the report
0:00:18performing some operations on it we're looking at a single sound silly it has the
0:00:24a mechanism called gene assembly and basically inside of it has a micro nucleus and
0:00:30american at this
0:00:31and the micro nucleus contains these segments that go and form the macro nucleus and
0:00:38in the process aging assembly there are the rearranged because in the management of this
0:00:42their split up and their inverted and their sections in between them so in the
0:00:47gene assembly process
0:00:48we take it and we cut out all of the all the junk from the
0:00:51center and the mean rating rearranging the order so it's one two three four five
0:00:55and looking at waist harnesses power and use it for computational purposes
0:01:00the benefit of this is that you can perform so that the same operation and
0:01:04hundreds of strands hundred thousand so strands the same
0:01:07and then once we find it you can separate it and called it out in
0:01:11there may need to establish what can in can be computed and how we can
0:01:14use the use the how we can use what we're looking at the single cell
0:01:18so it's to for the computation we need to know exactly what happens when you
0:01:22do certain actions on it and so we're looking at the algebra or algebraic properties
0:01:28various
0:01:29functions
0:01:30being able to compute in parallel like this with d n a computing a you'll
0:01:34be able to compute
0:01:36non deterministic lee which up until now is just an theory which basically means that
0:01:40you can just compute everything every possibility although the same time and come up with
0:01:44the right one if it exists
0:01:46and that would increase the about what we can do this
0:01:51machine learning