This document is a seminar paper on artificial intelligence that includes an introduction, problems deducted through AI, approaches, tools, advantages, disadvantages, applications, and conclusion. It discusses what AI is, the problems it can help solve like natural language processing and motion manipulation. It covers approaches like symbolic and connectionist methods. Tools discussed include search and optimization, logic, and control theory. The advantages listed are 24/7 operation and objective problem-solving. Disadvantages include limited senses and conversation. Applications mentioned are gesture recognition, voice recognition, robot navigation, and facial expression analysis.

1. NAME: HARIKRISHNAN U
III –YEAR DCE
ARTIFICIAL
INTELLIGENCE
CLOUD & IOT SEMINAR

2. • INTRODUCTION
• PROBLEMS DEDUCTED THROUGH A.I.
• APPROACHES
• TOOLS
• ADVANTAGES
• DISADVANTAGE
• APPLICATION
• CONCLUSION
• REFERENCES
CONTENTS

3. What is AI introduction?
Artificial intelligence (AI) is the ability of
machines to replicate or enhance human
intellect, such as reasoning and learning
from experience. Artificial intelligence
has been used in computer programs for
years, but it is now applied to many
other products and services
INTRODUCTION

4.  Artificial intelligence (AI) is the
intelligence of machines and the
branch of computer science that
aims to create it.
 AI textbooks define the field as
"the study and design of
intelligent agents" where an
intelligent agent is a system
that perceives its environment
and takes actions that maximize
its chances of success.
What is Artificial Intelligence?

5. •DEDUCTION, REASONING, PROBLEM SOLVING.
PROBLEM DEDUCTED THROUGH A.I.
•NATURAL LANGUAGE
PROCESSING
•SOCIAL INTELLIGENCE
•MOTION AND MANIPULATION

6. •CYBERNETICS AND BRAIN SIMULATION
•SYMBOLIC
When access to digital computers became
possible in the middle 1950s, AI research began
to explore the possibility that human intelligence
could be reduced to symbol manipulation.
APPROACHES

7. TOOLS
•SEARCH AND OPTIMIZATION
Many problems in AI can be solved in theory by
intelligently searching through many possible
solutions. Planning algorithms search through trees
of goals and subgoals, attempting to find a path to a
target goal, a process called means-ends analysis.

8. LOGIC
Logic is used for knowledge representation and
problem solving, but it can be applied to other
problems as well. AI researchers have devised a
number of powerful tools to solve these problems
using methods from probability theory and
economics.

9. •CONTROL THEORY
Control theory, the grandchild of cybernetics, has
many important applications, especially in robotics.
•LANGUAGES
AI researchers have developed several specialized
languages for AI research, including Lisp and Prolog.

10. ADVANTAGES
• Artificial intelligence would not need any sleep.
• Unemotional consideration of problems.
• Easier copying.

11. DISADVANTAGE
• Limited Sensory input.
• An artificial mind is limited capable to talk.

12. APPLICATIONS
• Gesture recognition
• Individual voice recognition
• Global voice recognition
• Facial expression recognition for interpretation of
emotion and non verbal queues.
• Robot navigation.

13. Conclusion
 Artificial Intelligence and Machine
Learning are products of both science
and myth. The idea that machines could
think and perform tasks just as humans
do is thousands of years old.
 The cognitive truths expressed in AI and
Machine Learning systems are not new
either. It may be better to view these
technologies as the implementation of
powerful and long-established cognitive
principles through engineering.

15. THANK YOU