Artificial Intelligence(AI) is a new future.

AI(Artificial Intelligence) concept, 3D rendering, abstract image visual

Tere’s a lot of buzz around artificial
intelligence at the moment and the term.
AI seems to be thrown around a lot but
what is it exactly to clear things up I??

Just want to do a quick article around
this topic first of all let’s look at
the definition to avoid confusion we
have to go back to the earliest and
hence purest definition of AI from the
time when it was first coined the
official idea and definition of AI was
first coined by Jay McCartney in 1955 at
the Dartmouth conference of course. Those
plenty of research work done on AI by
others such as Alan Turing before this
but what ?? They were working on was an
undefined field before 1955 okay so
here’s what McCarthy proposed quote
every aspect of learning or any other ??
Feature of intelligence can in principle
be so precisely described that a machine
can be made to simulate it an attempt??
Will be made to find out how to make
machines use language form abstractions
and concepts solve kinds of problems now
reserved for humans and improve
themselves translation in essence. AI is
a machine with the ability to solve
problems that are usually done by us
humans with our natural intelligence a
computer would demonstrate a form of
intelligence. When it learns how to
improve itself at solving these problems
to elaborate further the 1955 proposal
defines seven areas of AI today they’re
surely more but here are the original.
seven one simulating higher functions of
the human brain to programming a
computer to use general language
3.Arranging hypothetical neurons in a manner enabling them to form concepts for a way to determine and measure problem complexity.
5.Self-improvement
6.Abstraction defined as the quality of
dealing with ideas rather than events
7.randomness and creativity
after 60 years
I think realistically
we’ve completed the language measure
problem complexity and self-improvement
to at least some degree however
randomness and creativity is just
starting to be explored this year we’ve
seen a couple of web episode scripts
short films and even a feature-length
film co-written or completely written by
AI that don’t really make sense but still.
Here’s a few snippets for your
from that make
is so longer of the face in the
comprised and a person is what the world
on the country of have the construction
of the mic could to person in front are
and how they deal to part of them okay
so in the definition you heard the word
intelligence what is the intelligence
well according to Jack Copeland who has
written several books on AI some of the
most important factors of intelligence
are generalization learning that is
learning that enables the learner to be
able to perform better in situations not
previously encountered reasoning to
reason is to draw conclusions
appropriate to the situation in hand
problem solving given such and such data
find X perception analyzing ask and
environment and analyzing features and
relationships between objects
self-driving cars are an example
language understanding understanding
language by following syntax and other
rules similar to a human okay so now we
have an understanding of AI and
intelligence to bring it together a bit
and solidify the concept in your mind of
what AI is here’s a few examples of AI
machine learning computer vision natural
language processing robotics pattern
recognition and knowledge management
there are also different types of
artificial intelligence in terms of
approach for example the strong AI and
weak AI strong AI is simulating the
human brain by building systems that
think and in the process
give us an insight into how the brain
works we’re nowhere near the stage yet
weak AI is a system that behaves like a
human but doesn’t give us an insight
into how the brain works
IBM’s deep blue a chess-playing AI was
an example it processed millions of
moves before it made any actual moves on
the chessboard
it doesn’t stop there though there’s
actually a new kind of middle ground
between strong and weak AI this is where
a system is inspired by human reasoning
but doesn’t have to stick to it
IBM’s Watson there’s an exam
like humans it reads a lot of
information recognizes patterns and
builds up evidence to say hey I’m X
percent confident that this is the right
solution to the question that you have
asked me from the information that I’ve
read if you want to know more in IBM.
AI Project List.
1.Online Logistic Chatbot System

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