Found a similar question that had choices, here are the choices:
a.Specific neurons that respond to round, square or irregular shapes do not integrate their signals to recognize multi-shaped objects.
b. It accounts only for the recognition of simple two dimensional shapes, not more complex three-dimensional shapes.
c.Feature detector neurons have been found in non-human primates, but not in humans themselves.
<span>d. It does not account for the fact that our expectations influence what we see.
My answer:
d. It does not account for the fact that our expectations influence what we see.
We all have different expectations, thus, our view on certain object is subjective. It is a product of said expectations. </span>
Answer:
a) Speedup gain is 1.428 times.
b) Speedup gain is 1.81 times.
Explanation:
in order to calculate the speedup again of an application that has a 60 percent parallel component using Anklahls Law is speedup which state that:
Where S is the portion of the application that must be performed serially, and N is the number of processing cores.
(a) For N = 2 processing cores, and a 60%, then S = 40% or 0.4
Thus, the speedup is:
Speedup gain is 1.428 times.
(b) For N = 4 processing cores and a 60%, then S = 40% or 0.4
Thus, the speedup is:
Speedup gain is 1.81 times.
Two. One for encryption, and one for decryption. RSA is an example of an asymmetric encryption algorithm.
