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Natural language processing: It is the automatic understanding
and manipulation of natural languages like speech or text by a
software. Learning algorithms classify and detect messages as spam.
Machine learning: Machine learning is a core subject area of Natural language processing
Artificial Intelligence. It can be defined as a set of methods that can automatically detect
patterns in data and then use the uncovered patterns to predict future data, or to perform
other kinds of decision making tasks under uncertainty. The devices that do such kind of jobs
are called “Agents”.
Artificial Intelligence is a technique that enables computers and
Artificial
machines to mimic human intelligence using logic, if-then rules,
Intelligence
decision trees, and machine learning.
Machine
A subset of AI that includes abstruse statistical techniques that
Learning
enables machines to improve at tasks with experience.
A subset of machine learning composed of algorithms that permits
Deep
software train itself to perform tasks, like speech and image recognition
Learning
by exposing multi-layered neural networks to vast amount of data.
Machine and deep learning allow you to create smarter and more useful technology to help the
people and society.
Clickipedia
Recently machine learning has been used to achieve good results in building robots that
interact socially (SOPHIA).
The earliest successful Artificial Intelligence program was written in 1951 by Christopher
Strachey, at University of Manchester, England. This program could play a game of checkers.
PHILOSOPHERS VIEWS ON ARTIFICIAL INTELLIGENCE
Philosophers have been trying to find the answers to questions such as, will machines be able to
act intelligently as humans? and if they did, would they have a real and conscious mind? What
will be the ethical implications of intelligent machines?
Weak Artificial Intelligence Hypothesis
The Artificial Intelligence that focuses only on one narrow task or specific problem is called weak
Artificial Intelligence. The weak AI is also known as narrow AI. Siri is a good example of narrow AI.
The assertion that machines could act as if they were intelligent is called the weak AI hypothesis.
Strong Artificial Intelligence Hypothesis
The AI that can understand or learn any problem as human beings can do, instead of a specific
problem is called strong AI. In other words, the machines that can perform activities just similar
to humans without any external help are called strong intelligent machines. The assertion that
machines that do such strong AI are actually thinking (not just simulating thinking) is called the
strong AI hypothesis.
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