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WELCOME TO
MY
PRESENTATION
Artificial Intelligence
What is Intelligence???
Intelligence is the ability to learn about, to
learn from, to understand about, and interact
with one’s environment.
Intelligence is the faculty of understanding
Intelligence is not to make no mistakes but
quickly to understand how to make them good
What Is Artificial Intelligence???
 Artificial Intelligence (AI) is
usually defined as the science
of making computers do
things that require
intelligence when done by
humans.
 A.I is the study of ideas that
enable computers to be
intelligent
How Does AI Works??
Artificial intelligence works with
the help of
• Artificial Neurons (Artificial
Neural Network)
And
• Scientific theorems(If-Then
Statements, Logics)
What is Neural Networking??
 Artificial neural networks are
composed of interconnecting
artificial neurons
(programming constructs that mimic
the properties of biological neurons).
Sec 2: ANN 7
Structure of a Biological Neuron
Dendrit es: Accept s I nput s
Soma: Processes the Inputs
Axon: Turns the processed inputs into outputs
Synapses: The electrochemical contact between
neurons
Examples Of Artificial Intelligence
Expert Systems!!
An expert system is a computer program that is designed to
hold the accumulated knowledge of one or more domain
experts
It reasons with knowledge of some specialist subject with a
view to solving problems or giving advice
They are tested by being placed in the same real world
problem solving situation
Applications of Expert Systems
PROSPECTOR:
Used by geologists to identify sites
for drilling or mining
PUFF:
Medical system
for diagnosis of respiratory conditions
Applications of Expert Systems
LITHIAN: Gives advice to archaeologists
examining stone tools
DENDRAL: Used to identify the structure of
chemical compounds. First used in 1965
Machine Learning!
Machine learning is a scientific discipline concerned with the design
and development of algorithms that allow machines to mimic human
intelligence.
There are Three ways that A.I learns
Failure Driven Learning
Learning by being Told
Learning by Exploration
Human Intelligence VS Artificial Intelligence
Human Intelligence VS Artificial Intelligence
Human Intelligence Artificial Intelligence
Intuition, Common sense, judgment ,
Creativity, Beliefs etc
Ability to simulate human behavior and
cognitive processes
The ability to demonstrate their
intelligence by communicating effectively
Capture and preserve human expertise
Plausible Reasoning and Critical thinking Fast Response. The ability to comprehend
large amounts of data quickly.
Pros
Human Intelligence VS Artificial Intelligence
We achieve more than we know. We know more than we understand. We understand more
than we can explain (Claude Bernard, 19th C French scientific philosopher)
Artificial intelligence & Our society
Why we need AI??
To supplement natural intelligence for e.g we are
building intelligence in an object so that it can do what
we want it to do, as for example-- robots, thus reducing
human labour and reducing human mistakes
Thank You

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Presentation on artificial intelligence

  • 3. What is Intelligence??? Intelligence is the ability to learn about, to learn from, to understand about, and interact with one’s environment. Intelligence is the faculty of understanding Intelligence is not to make no mistakes but quickly to understand how to make them good
  • 4. What Is Artificial Intelligence???  Artificial Intelligence (AI) is usually defined as the science of making computers do things that require intelligence when done by humans.  A.I is the study of ideas that enable computers to be intelligent
  • 5. How Does AI Works?? Artificial intelligence works with the help of • Artificial Neurons (Artificial Neural Network) And • Scientific theorems(If-Then Statements, Logics)
  • 6. What is Neural Networking??  Artificial neural networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons).
  • 7. Sec 2: ANN 7 Structure of a Biological Neuron Dendrit es: Accept s I nput s Soma: Processes the Inputs Axon: Turns the processed inputs into outputs Synapses: The electrochemical contact between neurons
  • 8. Examples Of Artificial Intelligence Expert Systems!! An expert system is a computer program that is designed to hold the accumulated knowledge of one or more domain experts It reasons with knowledge of some specialist subject with a view to solving problems or giving advice They are tested by being placed in the same real world problem solving situation
  • 9. Applications of Expert Systems PROSPECTOR: Used by geologists to identify sites for drilling or mining PUFF: Medical system for diagnosis of respiratory conditions
  • 10. Applications of Expert Systems LITHIAN: Gives advice to archaeologists examining stone tools DENDRAL: Used to identify the structure of chemical compounds. First used in 1965
  • 11. Machine Learning! Machine learning is a scientific discipline concerned with the design and development of algorithms that allow machines to mimic human intelligence.
  • 12. There are Three ways that A.I learns Failure Driven Learning Learning by being Told Learning by Exploration
  • 13. Human Intelligence VS Artificial Intelligence
  • 14. Human Intelligence VS Artificial Intelligence Human Intelligence Artificial Intelligence Intuition, Common sense, judgment , Creativity, Beliefs etc Ability to simulate human behavior and cognitive processes The ability to demonstrate their intelligence by communicating effectively Capture and preserve human expertise Plausible Reasoning and Critical thinking Fast Response. The ability to comprehend large amounts of data quickly. Pros
  • 15. Human Intelligence VS Artificial Intelligence We achieve more than we know. We know more than we understand. We understand more than we can explain (Claude Bernard, 19th C French scientific philosopher)
  • 16. Artificial intelligence & Our society Why we need AI?? To supplement natural intelligence for e.g we are building intelligence in an object so that it can do what we want it to do, as for example-- robots, thus reducing human labour and reducing human mistakes