1.
ARTIFICIAL
INTELLIGENCE
BY ANKUSH RATHOUR
BCA VI SEMESTER
1731

2.
CONTENTS
•Definition
•Early History
•Current status of AI
•Challenges for AI
•Features OF AI
•Pros & Cons
•Conclusion

3.
WHAT IS
A.I.?
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are
programmed to think like humans and mimic their actions.
Artificial intelligence refers to the simulation of human intelligence in machines.
The term may also be applied to any machine that exhibits traits associated with a human
mind such as learning and problem-solving.

4.
The Best Examples Of How AI Is Already Used In
Our Everyday Life
• Open your phone with face
ID.
• Social media.
• Send an email or message.
• Google search.
• Digital voice assistants.
• Smart home devices.
• Commuting to work.
• Banking.

5.
EARLY HISTORY
• In 1956, American computer scientist John McCarthy
organized the Dartmouth Conference, at which the term
‘Artificial Intelligence’ was first adopted. Research centers
popped up across the United States to explore the potential
of AI. Researchers Allen Newell and Herbert Simon were
instrumental in promoting AI as a field of computer science
that could transform the world.
• In 1951, an machine known as Ferranti Mark 1 successfully
used an algorithm to master checkers. Subsequently,
Newell and Simon developed General Problem Solver
algorithm to solve mathematical problems. Also in the 50s
John McCarthy, often known as the father of AI, developed
the LISP programming language which became important in
machine learning.
• In the 1960s, researchers emphasized developing
algorithms to solve mathematical problems and
geometrical theorems. In the late 1960s, computer

6.
CURRENT STATUS OF
AI
AI Trends for 2020
• AI will make healthcare more accurate
and less costly.
• Explain ability and trust will receive
greater attention.
• AI will become less data-hungry.
• Improved accuracy and efficiency of
neural networks.
• Automated AI development.
• AI in manufacturing.
• The geopolitical implications of AI.

7.
CHALLENGES FOR AI
• Data. Data quality and quantity.
Data labeling. Explain ability. Case-
specific learning.
• People. Lack of understanding of AI
among non-technical employees.
Scarcity of field specialists.
• Business. Lack of business
alignment. Difficulty assessing
vendors. Integration challenges.

8.
FUTURE OF AI
In the last decade, artificial intelligence has gone
from a science-fiction dream to a critical part of our
everyday lives.
We use AI systems to interact with our phones and
speakers through voice assistants like Siri, Alexa,
and Google; cars made by Tesla interpret and
analyze their surroundings to intelligently drive
themselves; Amazon monitors our browsing habits
and then serves up products it thinks we’d like to
buy; and even Google decides what results to give
us based on our search activity.
Artificially intelligent algorithms are here, and
they’ve already changed our lives — for better or
worse. But this is only the beginning, and one day
we’ll look back at AI in 2018 and laugh about how
primitive it was. Because in the future, AI is going to
change everything.

9.
CONCLUSIO
N
Finally we can say that the Artificial Intelligence(AI) is the
intelligence of machines and the branch of computer science
that aims to create it.
AI has increased understanding of the nature
of intelligence and provided an impressive array of application
in a wide range of areas. It has sharpened understanding of
human reasoning, and of the nature of intelligence in general.
John McCarthy ,who coined the term in 1955, defines it as
“The Science and Engineering of making intelligent Machines”.

10.
THANK YOU