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Join Armen Pischdotchian as he explains in more detail how cognitive systems like Watson Understand, Reason, Learn, and Interact.
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Now in my own research for this course I
came across a summary, one of your pages,
0:00
that I think is really good for
0:04
giving a high level
understanding of what Watson is.
0:05
>> What distinguishes cognitive
systems from deterministic systems
0:09
such as the very laptop that's in front
of you are the following attributes.
0:15
Understanding, cognitive systems
understand like humans do.
0:22
The system needs to understand
our colloquial way of talking,
0:27
our natural way of speaking.
0:31
For example, consider this.
0:33
This fountain is not drinking water.
0:36
Now, to a machine,
0:40
this may mean that the fountain is not
engaged in the act of drinking water.
0:41
But you and I know that it means that
we shouldn't drink from this fountain.
0:48
Another key trait of cognitive
systems is reasoning.
0:52
They reason, they understand
underlying ideas and concepts.
0:57
Cognitive systems are constantly learning.
1:02
They never stop learning.
1:06
They're getting more valuable with time,
1:07
advancing with each new
piece of information.
1:09
They say that Watson, the jeopardy
product was a zero year old child.
1:13
And so, it ingested a lot of documents,
and it became a two year old child.
1:19
A lot of the services currently
on the Watson Developer Cloud
1:25
are actually a two year
old child to begin with.
1:29
We ingest new material, new images, new
sound files and it builds new patterns.
1:33
Therefore, it constantly
is learning more and more.
1:39
But all of this, frankly, is of no value
if the system cannot interact with humans.
1:44
The machine needs to talk back,
to question us, to disambiguate
1:51
what it is that we meant when we
asked the system in the first place.
1:55
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