The document discusses artificial intelligence and is presented by four students. It provides an introduction to AI, covering its history from the 1940s to present day, how AI works using artificial neurons and algorithms, comparing human and AI intelligence, and applications of AI in healthcare, finance, education and more. The document also outlines advantages of AI like increased efficiency and disadvantages like limited ability. It concludes that AI has increased understanding of intelligence while also revealing the complexity of modeling human reasoning.

1. ARTIFICIAL INTELLIGENCE
PRESENTED BY :
• AHSAN L1F21BSCS1024
• TAHA FAISAL L1F21BSCS0720
• SYED SHABBAR ALI L1F21BSCS0764
• TALHA JAVED L1F21BSCS101039

2. Contents :
• Introduction
• History
• How does AI works ?
• Can AI work As Efficient as Brain?
• Human Intelligence Vs AI
• Daily life Application
• Advantages and Disadvantages of AI
• Conclusion

3. • A BRANCH OF COMPUTER SCIENCE DEALING WITH THE
SIMULATION OF INTELLIGENT BEHAVIOR IN COMPUTERS.
• THE CAPABILITY OF A MACHINE TO IMITATE INTELLIGENT
HUMAN BEHAVIOR.
What is Artificial Intelligence?

4. Programmable Digital Computers (1940)
• The golden years 1956-1975:
Invention of main frame computers
• 1986-- Rise of machine learning :
Neural networks return to popularity Major advances
in machine learning algorithms and applications
• 1995 Al as Science :
Al methods used in vision, language, data mining,
etc.
History of Artificial Intelligence

5. ARTIFICIAL INTELLIGENCE WORKS WITH THE HELP OF
• ARTIFICIAL NEURONS (ARTIFICIAL NEURAL NETWORK)
AND
• SCIENTIFIC THEOREMS (IF-THEN STATEMENTS, LOGICS)
How does AI works ?

6. MACHINE LEARNING IS A SCIENTIFIC DISCIPLINE
CONCERNED WITH THE DESIGN AND DEVELOPMENT OF
ALGORITHMS THAT ALLOW MACHINES TO MIMIC HUMAN
INTELLIGENCE.
Machine Learning

7. Can AI work as Efficient as Brain?

8. How complicated is our brain?
• 1012 neurons in a human brain
• Many more synapses (1014) connecting these neurons
• Cycle time: 10-3 seconds (1millisecond)
How complex can we make computers?
• 108 or more transistors per CPU supercomputer:
• hundreds of CPUs
• 1012 bits of RAM
• cycle times: order of 10-9seconds

9. Human Intelligence Vs Artificial Intelligence

10. Intuition, Common sense, judgment, Creativity, Beliefs etc.
The ability to demonstrate their intelligence by
communicating effectively
Plausible Reasoning and Critical thinking
Ability to simulate human behavior and cognitive
processes
Capture and preserve human expertise Fast
Response.
The ability to comprehend large amounts of data
quickly.
Human Intelligence Artificial Intelligence

11.  Healthcare
 Finance
 Agriculture
 E-commers
 Education
 Gaming
 Robotic
s
 Social
Media
APPLICATION

12. MEANS APPLICATION
Ability of a machine to
extract information from an
image that is necessary to
solve a task
Computer Vision
Tend to mimic human sensing and
decision making abilities so that
they can adopt themselves to
certain conditions and modify their
actions.
Robotics
• Software used for decision making
• Automated Reasoning and Theorem
Proving.
• Troubleshooting Expert Systems.
• Stock Market Expert System.
Expert System

13. • AI in Mobile Phones
• AI in Computers
• AI in Navigation
• AI in Every
Electronic Device
Artificial intelligence In Daily Life

14. Advantages of Artificial Intelligence
• Increased Efficiency
• Improved Workflows
• Reduction in Human Error
• 24/7 Availability
• Unbiased Decisions
• Digital Assistance

15. Disadvantages of Artificial Intelligence
• Limited Ability
• Slow Real Time Response
• Can't Handle Emergency Situation
• Difficult code
• High Cost

16. In it's short existence, Al 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. At the same
time, it has revealed the complexity of modeling human reasoning
providing new areas and rich challenges for the future.
Conclusion
In it's short existence, Al 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. At
the same
time, it has revealed the complexity of modeling human
reasoning
providing new areas and rich challenges for the future.