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ARTFICIAL INTELLIGENCE (A.I)
- -BY Yashika Soni Roll no.-20
WHAT IS A.I.?
*The study of computer system that attempts to model and apply
the intelligence of the human mind.
•A branch of computer science dealing with the simulation of
intelligent behavior in computers.
•The capacity of a machine to intimate intelligent human
behavior.
Some Examples OfA.I.
Google Assistant SIRI
CORTANA
Google now, Siri and Cortana are all intelligent digital personal assistants on various platforms
(iOS, Android , andWindows Mobile). Inshort, they help find useful information when we ask for it
using you voice
We can use them to make calls, send messages , send reminder, take notes, recognize music, find
great restaurants , check your calendar, and more.
Early History:-
 In 1950 English mathematician Alan
Turing wrote a landmark paper titled
“Computing Machinery and
Intelligence”. Can machines think?”
 Further work came out of a 1956
workshop at Dartmouth sponsored
by John McCarthy. In the proposal
for that workshop, he coined the
phrase a “study of Artificial
Intelligence.
 AI have taken many shapes and forms over recent years.
*Mobile phones(Siri/Cortona)
*Video Games Characters
* GPS/Voice recognition
*Robotics
 Google has been a major play onAI transcendence and
deep Learning.
*Deep learning is a machine learning based on algorithms.
 Facial recognisation:- It is not something
people had thought of in the earlier days but
technology has somehow made it possible. Artificial
intelligence has even made it possible to recognise
faces. Using biometric mapping to figure out the
faces of individuals is a huge achievement in itself. It
compares whatever is being shown to a database
where it finds the match and declares a successful
match.
 Example:The face look feature in smartphones is an
example of facial recognition. It matches the
features of the face from that present in your phone
and opens the lock if it’s a successful match.
 Deep learing:-This is a subpart of machine
learning which is a part of artificial
intelligence. It enables the machines to think
exactly like humans and therefore provides
an opportunity to increase the technological
presence. A lot of work is being done in this
area because it is by far the most
revolutionary idea in this field.
Example:-A very simple and common example of
deep learning includes self driving features
embedded in cars likeTesla. Deep learning
plays a very important role in developing such
features, it helps in distinguishing between a
lamppost and a human being.
 Futuristic:-This new technology is based on adaptive
learning i.e. it observes and adapts to the surrounding
environment and learns accordingly, therefore making it a
very advanced approach. As stated earlier, self-driving cars
are an example of artificial intelligence. Unlike the cars of
today, they’ll be better connected to technology and
would be a step forward in the future.
 Ingestion of Data:-With the way technology is growing,
the amount of data produced everyday just grows
exponentially.This is where the need for AI steps in. AI not
only helps in organizing the data, it saves the time and
manual labor required in doing so. Data ingestion is the
process of transporting knowledge from various data
sources to a particular database.A feature called neural
network helps with the organization of data.
 Chatbots:-These are amongst one of the most important
things you’ll find on a website.They provide a way for the
customers to get their queries solved either through text or
audio. It is one of the most important developments of
artificial intelligence because it gives a wide array of
understanding as the chatbots are programmed to
understand language and not just commands.
Example:Watson AI is a chatbot developed by IBM which is
made in such a way that it requires no human intervention
and is made in such a way that it can handle websites,
applications and messengers too.
 Cloud Computing:-With the kind of data that is being
produced everyday, it would be extremely difficult to store
all such data manually and in physical form. It is much more
efficient, convenient and therefore came with the
development of cloud computing.This is one of the most
important developments in the field of artificial intelligence
insight driven.
Example: Microsoft Azure is one of the most commonly used
cloud computing technologies.
CONCLUSION:
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
textbooks define the field as “The Study
And Design of Intelligent Agents” where
an intelligent agent is a system that
perceives it’s environment and takes
maximise the chances of it’s success. John
McCarthy, who coined the term in 1955,
defines it as “The Science and
Engineering of making Intelligent
machines”
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features of ai.pptx

  • 1. ARTFICIAL INTELLIGENCE (A.I) - -BY Yashika Soni Roll no.-20
  • 2. WHAT IS A.I.? *The study of computer system that attempts to model and apply the intelligence of the human mind. •A branch of computer science dealing with the simulation of intelligent behavior in computers. •The capacity of a machine to intimate intelligent human behavior.
  • 3. Some Examples OfA.I. Google Assistant SIRI CORTANA Google now, Siri and Cortana are all intelligent digital personal assistants on various platforms (iOS, Android , andWindows Mobile). Inshort, they help find useful information when we ask for it using you voice We can use them to make calls, send messages , send reminder, take notes, recognize music, find great restaurants , check your calendar, and more.
  • 4. Early History:-  In 1950 English mathematician Alan Turing wrote a landmark paper titled “Computing Machinery and Intelligence”. Can machines think?”  Further work came out of a 1956 workshop at Dartmouth sponsored by John McCarthy. In the proposal for that workshop, he coined the phrase a “study of Artificial Intelligence.
  • 5.
  • 6.  AI have taken many shapes and forms over recent years. *Mobile phones(Siri/Cortona) *Video Games Characters * GPS/Voice recognition *Robotics  Google has been a major play onAI transcendence and deep Learning. *Deep learning is a machine learning based on algorithms.
  • 7.  Facial recognisation:- It is not something people had thought of in the earlier days but technology has somehow made it possible. Artificial intelligence has even made it possible to recognise faces. Using biometric mapping to figure out the faces of individuals is a huge achievement in itself. It compares whatever is being shown to a database where it finds the match and declares a successful match.  Example:The face look feature in smartphones is an example of facial recognition. It matches the features of the face from that present in your phone and opens the lock if it’s a successful match.
  • 8.  Deep learing:-This is a subpart of machine learning which is a part of artificial intelligence. It enables the machines to think exactly like humans and therefore provides an opportunity to increase the technological presence. A lot of work is being done in this area because it is by far the most revolutionary idea in this field. Example:-A very simple and common example of deep learning includes self driving features embedded in cars likeTesla. Deep learning plays a very important role in developing such features, it helps in distinguishing between a lamppost and a human being.
  • 9.  Futuristic:-This new technology is based on adaptive learning i.e. it observes and adapts to the surrounding environment and learns accordingly, therefore making it a very advanced approach. As stated earlier, self-driving cars are an example of artificial intelligence. Unlike the cars of today, they’ll be better connected to technology and would be a step forward in the future.  Ingestion of Data:-With the way technology is growing, the amount of data produced everyday just grows exponentially.This is where the need for AI steps in. AI not only helps in organizing the data, it saves the time and manual labor required in doing so. Data ingestion is the process of transporting knowledge from various data sources to a particular database.A feature called neural network helps with the organization of data.
  • 10.  Chatbots:-These are amongst one of the most important things you’ll find on a website.They provide a way for the customers to get their queries solved either through text or audio. It is one of the most important developments of artificial intelligence because it gives a wide array of understanding as the chatbots are programmed to understand language and not just commands. Example:Watson AI is a chatbot developed by IBM which is made in such a way that it requires no human intervention and is made in such a way that it can handle websites, applications and messengers too.  Cloud Computing:-With the kind of data that is being produced everyday, it would be extremely difficult to store all such data manually and in physical form. It is much more efficient, convenient and therefore came with the development of cloud computing.This is one of the most important developments in the field of artificial intelligence insight driven. Example: Microsoft Azure is one of the most commonly used cloud computing technologies.
  • 11. CONCLUSION: 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 textbooks define the field as “The Study And Design of Intelligent Agents” where an intelligent agent is a system that perceives it’s environment and takes maximise the chances of it’s success. John McCarthy, who coined the term in 1955, defines it as “The Science and Engineering of making Intelligent machines”