The refrigerator has separate
components for different food items. The other day my refrigerator detected
that it was running short of eggs. It placed an order to replenished that
stock. Intelligent! Right?
Intelligence has always been
natural to humans and animals. Machines, on the other hand, have traditionally
been known to perform only those tasks that they are programmed to carry out.
So, while a human being can work
on their own. Machine have required humans to make them useful. But things are
changing.
Human beings intelligent as they
are have tried finding out ways to make machines take up some of their works
loads and taking decision and acting accordingly.
In recent years, the Boom in
Artificial intelligence or AI. Its rebirth as it is often called, is attributed
to a large extent to the sheer volume of data that is being generated every
day.
Advancement in data sciences has
meant that making sense of data is easier now. Even for a machine, which gives
a good starting point to the machines to take a decision and act accordingly.
Now, that you are getting
introduced to Artificial Intelligence.
Let’s define What is artificial
intelligence?
The term Artificial intelligence
was first coined a decade ago in the year 1956 by John McCarthy
at Dartmouth conference. He defined “Artificial intelligence as the
science and engineering of making intelligent machines”. In a sense,
artificial intelligence is a technique of getting machine to work and behave
like humans.
In the recent past, artificial
intelligence has been able to accomplish this by creating machines and robots
that have been used in a wide range of fields including Robotics, Health care, Marketing,
Business Analytics and many more.
Let’s drive down to something more
common place.
Imagine a situation where a
trainer is faced with a barrage of routine questions. So much so that she/he
doesn’t have much time to dwell on critical aspects of the subjects. Artificial
intelligence adds value here as well, to allow the human trainer to add such
value that the machine can’t. Artificial intelligence is taking up resolving
routine tasks.
What about going to a supermarket
to pick up a grocery. As you approach the entrance, the Artificial intelligence
recognizes you through a camera and activates your account. The door slides
open, you enter the store, you take the trolly and you starting populating it
with provisions. The items start appearing in your virtual shopping cart. If
you put something back, the same gets deleted from your virtual cart as well.
When you finally walk out of the store your credit card gets charged with the
amount of purchase.
What is enabling technology? The
usual suspect Artificial Intelligence.
So, there are many different
applications of artificial intelligence available in our day to day life as
well.
For example,
Personal assistance like Google
Home, Alexa can answer your factual questions, helping kids in particular with
their studies and also playing music and so on.
We can say that “Artificial Intelligence
is Everywhere” assured by human intelligence it is destined to change our
lives for the better.
The future is definitely to
embrace Artificial Intelligence.
Now, before I go any further. Let
me clear a very common misconception. People often tend to think that
Artificial Intelligence, Machine Learning and Deep Learning are the same, since
they have common applications.
For Example, SIRI is an
application of artificial intelligence, machine learning and deep learning. So
how are these technologies related?
We can simply say that
Artificial Intelligence is the science of getting
machines to mimic the behaviors of humans.
Machine Learning is a subset of artificial
intelligence that focuses on getting machines to makes decision by feeding them
data.
Deep Learning is a subset of machine
learning that uses the concept of neural networks to solve a complex problem.
So, to sum it up, artificial
intelligence, machine learning and deep learning are interconnected fields.
Machine Learning and Deep Learning
aids AI by providing a set of algorithms and neural networks to solve data-driven
problems.
However, is not restricted to only
Machine Learning and Deep Learning. It covers vast domains or fields including Natural
Language Processing, Object Detection, Computer Vision, Robotics, Expert System
and many more.
So, now let’s understand different
stages of Artificial intelligence.
So, Basically, when I was doing my
research, I found that in different videos, articles and blogs they stated that
Artificial Narrow Intelligence, Artificial General Intelligence
and Artificial Super intelligence are the different types of Artificial
intelligence.
But Artificial Intelligence has
three different stages.
The types of Artificial
intelligence are completely different from the stages of artificial
intelligence.
So, the different stages of
Artificial Intelligence are
1.
Artificial Narrow Intelligence
2.
Artificial General Intelligence
3.
Artificial super intelligence
So, what is Artificial Narrow
Intelligence?
Artificial Narrow Intelligence is also known as weak
Artificial intelligence, is a stage of artificial intelligence that
involves machines that can perform only a narrowly defined set of specific
tasks.
Some of the example Artificial
Narrow Intelligence are SIRI, Alexa, AlphaGo, Sophia, the Self-driving car and
so on.
Almost, all the Artificial
intelligence-based system that builds until this date comes under the category
of Artificial Narrow Intelligence.
Next stage of Artificial
Intelligence is Artificial General Intelligence.
Artificial General intelligence is also known as Strong
Artificial Intelligence, is the stage in the evolution of artificial
intelligence wherein machines will possess the ability to think and makes
decisions just like as humans.
There are currently no existing
examples of Artificial Generalintelligence. But its belief that we will
soon be able to create machines that are equivalent to human beings.
Artificial General intelligence is
actually considered as a threat to human existence by many well-known
scientists such as Stephen Hawkins.
Moving on to our last stage which
is Artificial Super intelligence.
Artificial Super intelligence is that stage of
Artificial intelligence when the capability of a computer will surpass human
beings.
Artificial Super intelligence is
currently seen as a hypothetical situation as depicted in movies and science
fictions books.
But I believe that the machine is
not very far from reaching this stage taking into consideration our current
pace. However, such a system doesn’t exist now.
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