What computer memory be compared with the human brain?

What is the difference between computer and brains? Can  computer memory be compared with the human
brain?  The first scientist who
experimented to answer these questions related with the differences between
machinery and humans was Alan Turing, one british scientist. The first  idea for measuring artificial intelligence
was famously becoming known  as the
“Turing test”. In the 1950 paper, computer machinery and intelligence  Turing propose the following game.  A human judge had a text conversation with
unseen players and evaluates their responses. In order to pass the test a
computer must be able to replace one of the players without changing results.
In other words, a computer would be considered intelligent if the conversation
could not be easily distinguish from humans. Turing predicted that by the year
2000 machines with 100 MB of memory would be able to easily pass his test, but
he made a jumping on. Even though today computers have far more memory than
that, he has succeeded and those  that
have done well ,focused more on finding 
clever ways to full judges  then
using overwhelming  computing powers. Thought
it was never subjected to a real test, the first program  that was thought to success was called
“Eliza”. With only a very short and simple script, it ménage to lead astray  many people, encouraging them to talk more and
mirroring  their own individual  questions back at them. Another paw  was  named  “Harry”.
This script  took the opposite transaction
 by imitating a paranoid schizophrenic  who caped running  the conversation back to his own
pre-programmed obsessions. Their success in fooling people pointing out one impotence
of the test. Humans regularly predicate intelligence to all series  of things that are not actually intelligent.
Nerveless,  annual competition has made
the test more nominal  with judges
knowing   that some of their conversation’s partners are
machines , but while the quality has proved 
that many chatbot programmers have used similar strategies to Eliza and
Harry. 1997’s winner of competition “Catherine”, could carry amazingly focused
in an intelligence conversation, but mostly if the judge wanted to talk about
Bill Clinton and the more recent winner 
Jugine Goustman  was giving the
persona the 13 years old Ukrainian boy, so judges interpreted its non isolation
by using  a clear grammar as language and
cultural barriers. Meanwhile, others programs like “cleverbot” have taken an different
approach by  analyzing  very big data bases and real conversation to
determine the best responses. Some machinery  also stored  memory of last conversations in order to
improve over time. But, while cleverbot’s individual responses can sound like
human, it is lack of consistent personality and inability to deal with brand
new topics which  have been  predicting 
that today’s computers would be able to discover planets and stars, perform  difficult medicine operations  and solve the most difficult math equations
but, still struggle with the most basic small talk?! Human language turns out
to be an amazing complex phenomenon that can not be captured even by the
largest dictionary. Chatbots can be befoul 
by simple exclamatory like:”Umm..” or 
complex  questions with no correct
answer. In a simple conversation, composite sentences like:” I took the juice
out of the fridge and gave it to them , but forgot to check the date”,  requires 
a wealth of underlining knowledge and intuition. It turns out that
simulating a human conversation takes more than just an increasing memory and
processes. As we get closer to Turing’s goal, we may have to deal with all
these big questions about consciousness.