Artificial Intelligence (AI)
The Artificial Intelligence tutorial provides an introduction to AI which will
help you to understand the concepts behind Artificial Intelligence. In this
tutorial, we have also discussed various popular topics such as History of
AI, applications of AI, deep learning, machine learning, natural language
processing, Reinforcement learning, Q-learning, Intelligent agents, Various
search algorithms, etc.
Our AI tutorial is prepared from an elementary level so you can easily
understand the complete tutorial from basic concepts to the high-level
concepts.
What is Artificial Intelligence (AI)?
In today's world, technology is growing very fast, and we are getting in
touch with different new technologies day by day.
Here, one of the booming technologies of computer science is Artificial
Intelligence which is ready to create a new revolution in the world by
making intelligent machines.The Artificial Intelligence is now all around us.
It is currently working with a variety of subfields, ranging from general to
specific, such as self-driving cars, playing chess, proving theorems,
playing music, Painting, etc.
,AI is one of the fascinating and universal fields of Computer science which
has a great scope in future. AI holds a tendency to cause a machine to
work as a human.
Artificial Intelligence is composed of two
words Artificial and Intelligence, where Artificial defines "man-
made," and intelligence defines "thinking power", hence AI means "a
man-made thinking power."
So, we can define AI as:
"It is a branch of computer science by which we can create intelligent machines which
can behave like a human, think like humans, and able to make decisions."
Artificial Intelligence exists when a machine can have human based skills
such as learning, reasoning, and solving problems
With Artificial Intelligence you do not need to preprogram a machine to do
some work, despite that you can create a machine with programmed
algorithms which can work with own intelligence, and that is the
awesomeness of AI.
It is believed that AI is not a new technology, and some people says that
as per Greek myth, there were Mechanical men in early days which can
work and behave like humans.
,Why Artificial Intelligence?
Before Learning about Artificial Intelligence, we should know that what is
the importance of AI and why should we learn it. Following are some main
reasons to learn about AI:
o With the help of AI, you can create such software or devices which
can solve real-world problems very easily and with accuracy such as
health issues, marketing, traffic issues, etc.
o With the help of AI, you can create your personal virtual Assistant,
such as Cortana, Google Assistant, Siri, etc.
o With the help of AI, you can build such Robots which can work in an
environment where survival of humans can be at risk.
o AI opens a path for other new technologies, new devices, and new
Opportunities.
Goals of Artificial Intelligence
Following are the main goals of Artificial Intelligence:
1. Replicate human intelligence
2. Solve Knowledge-intensive tasks
3. An intelligent connection of perception and action
4. Building a machine which can perform tasks that requires human
intelligence such as:
o Proving a theorem
o Playing chess
o Plan some surgical operation
o Driving a car in traffic
5. Creating some system which can exhibit intelligent behavior, learn
new things by itself, demonstrate, explain, and can advise to its
user.
History of AI
o Throughout history, people have been intrigued by the idea of
making non-living things smart. In ancient times, Greek stories
, mentioned gods creating clever machines, and in Egypt, engineers
made statues move. Thinkers like Aristotle and Ramon Llull laid
the groundwork for AI by describing how human thinking works
using symbols.
o In the late 1800s and early 1900s, modern computing started to
take shape. Charles Babbage and Ada Lovelace designed machines
that could be programmed in the 1830s. In the 1940s, John Von
Neumann came up with the idea of storing computer programs. At
the same time, Warren McCulloch and Walter Pitts started building
the basics of neural networks.
o The 1950s brought us modern computers, letting scientists dig into
machine intelligence. Alan Turing's Turing test became a big deal
in computer smarts. The term "artificial intelligence" was first
used in a 1956 Dartmouth College meeting, where they
introduced the first AI program, the Logic Theorist.
o The following years had good times and bad times for AI, called "AI
Winters." In the 1970s and 1980s, we hit limits with computer
power and complexity. But in the late 1990s, things got exciting
again. Computers were faster, and there was more data. IBM's
Deep Blue beating chess champion Garry Kasparov in 1997 was a
big moment.
o The 2000s started a new era with machine learning, language
processing, and computer vision. This led to cool new products and
services. The 2010s saw AI take off with things like voice assistants
and self-driving cars. Generative AI, which makes creative stuff, also
started getting big.
o In the 2020s, generative AI like ChatGPT-3 and Google's
Bard grabbed everyone's attention. These models can create all
sorts of new things when you give them a prompt, like essays or art.
But remember, this tech is still new, and there are things to fix, like
making sure it doesn't make things up.
What Comprises to Artificial Intelligence?
Artificial Intelligence is not just a part of computer science even it's so
vast and requires lots of other factors which can contribute to it. To create
the AI first we should know that how intelligence is composed, so the
The Artificial Intelligence tutorial provides an introduction to AI which will
help you to understand the concepts behind Artificial Intelligence. In this
tutorial, we have also discussed various popular topics such as History of
AI, applications of AI, deep learning, machine learning, natural language
processing, Reinforcement learning, Q-learning, Intelligent agents, Various
search algorithms, etc.
Our AI tutorial is prepared from an elementary level so you can easily
understand the complete tutorial from basic concepts to the high-level
concepts.
What is Artificial Intelligence (AI)?
In today's world, technology is growing very fast, and we are getting in
touch with different new technologies day by day.
Here, one of the booming technologies of computer science is Artificial
Intelligence which is ready to create a new revolution in the world by
making intelligent machines.The Artificial Intelligence is now all around us.
It is currently working with a variety of subfields, ranging from general to
specific, such as self-driving cars, playing chess, proving theorems,
playing music, Painting, etc.
,AI is one of the fascinating and universal fields of Computer science which
has a great scope in future. AI holds a tendency to cause a machine to
work as a human.
Artificial Intelligence is composed of two
words Artificial and Intelligence, where Artificial defines "man-
made," and intelligence defines "thinking power", hence AI means "a
man-made thinking power."
So, we can define AI as:
"It is a branch of computer science by which we can create intelligent machines which
can behave like a human, think like humans, and able to make decisions."
Artificial Intelligence exists when a machine can have human based skills
such as learning, reasoning, and solving problems
With Artificial Intelligence you do not need to preprogram a machine to do
some work, despite that you can create a machine with programmed
algorithms which can work with own intelligence, and that is the
awesomeness of AI.
It is believed that AI is not a new technology, and some people says that
as per Greek myth, there were Mechanical men in early days which can
work and behave like humans.
,Why Artificial Intelligence?
Before Learning about Artificial Intelligence, we should know that what is
the importance of AI and why should we learn it. Following are some main
reasons to learn about AI:
o With the help of AI, you can create such software or devices which
can solve real-world problems very easily and with accuracy such as
health issues, marketing, traffic issues, etc.
o With the help of AI, you can create your personal virtual Assistant,
such as Cortana, Google Assistant, Siri, etc.
o With the help of AI, you can build such Robots which can work in an
environment where survival of humans can be at risk.
o AI opens a path for other new technologies, new devices, and new
Opportunities.
Goals of Artificial Intelligence
Following are the main goals of Artificial Intelligence:
1. Replicate human intelligence
2. Solve Knowledge-intensive tasks
3. An intelligent connection of perception and action
4. Building a machine which can perform tasks that requires human
intelligence such as:
o Proving a theorem
o Playing chess
o Plan some surgical operation
o Driving a car in traffic
5. Creating some system which can exhibit intelligent behavior, learn
new things by itself, demonstrate, explain, and can advise to its
user.
History of AI
o Throughout history, people have been intrigued by the idea of
making non-living things smart. In ancient times, Greek stories
, mentioned gods creating clever machines, and in Egypt, engineers
made statues move. Thinkers like Aristotle and Ramon Llull laid
the groundwork for AI by describing how human thinking works
using symbols.
o In the late 1800s and early 1900s, modern computing started to
take shape. Charles Babbage and Ada Lovelace designed machines
that could be programmed in the 1830s. In the 1940s, John Von
Neumann came up with the idea of storing computer programs. At
the same time, Warren McCulloch and Walter Pitts started building
the basics of neural networks.
o The 1950s brought us modern computers, letting scientists dig into
machine intelligence. Alan Turing's Turing test became a big deal
in computer smarts. The term "artificial intelligence" was first
used in a 1956 Dartmouth College meeting, where they
introduced the first AI program, the Logic Theorist.
o The following years had good times and bad times for AI, called "AI
Winters." In the 1970s and 1980s, we hit limits with computer
power and complexity. But in the late 1990s, things got exciting
again. Computers were faster, and there was more data. IBM's
Deep Blue beating chess champion Garry Kasparov in 1997 was a
big moment.
o The 2000s started a new era with machine learning, language
processing, and computer vision. This led to cool new products and
services. The 2010s saw AI take off with things like voice assistants
and self-driving cars. Generative AI, which makes creative stuff, also
started getting big.
o In the 2020s, generative AI like ChatGPT-3 and Google's
Bard grabbed everyone's attention. These models can create all
sorts of new things when you give them a prompt, like essays or art.
But remember, this tech is still new, and there are things to fix, like
making sure it doesn't make things up.
What Comprises to Artificial Intelligence?
Artificial Intelligence is not just a part of computer science even it's so
vast and requires lots of other factors which can contribute to it. To create
the AI first we should know that how intelligence is composed, so the
