AI Reflection

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Examples of Ai in daily life

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42 Terms

1

Examples of Ai in daily life

Google Map, Alexa, Siri, Voice Search

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2

Applications of Ai

Healthcare, Gaming, Finance, Education, Social Media, E-commerce

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3

Ai is a combination of:

-Field of Study

-Type of Intelligence

-Type of Technology

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4

Define AI

Artificial IntelligenceĀ (AI) is the technology andĀ  branch of computer science that deals with the study of intelligence machines and software.

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5

Founding father of ai

John McCarthy is one of the ā€œfounding fathersā€ ofĀ artificial intelligence, together with Alan Turing, Marvin Minsky, Allen Newell, and Herbert A. Simon.

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6

Who coined the term AI?

-Jhon Mccarthy

-1955

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7

vs AI

1.Decisions of human Intelligence is based on cognition, but decisions of artificial intelligence is based on models.

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8

What kind of process in HI vs Ai

1.Artificial intelligence is an unconscious mechanical and physical process. Human intelligence is mainly a physical and psychological process.

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9

Social Behavior in AI vs HI

1.Artificial intelligence is not social. Human wisdom is social.

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10

Creativity in AI vs Hi

Artificial intelligence does not have the initiative and creativity unique to human consciousness.

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11

Can Ai overtake humans?

.Artificial intelligence cannot exceed the limits of human intelligence. Regarding that computers can think, or even surpass human thinking, the idea that computers and robots will rule humans in the future is completely unfounded.

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12

Ā Artificial Narrow IntelligenceĀ  - ANI

( Weak AI)

Designed to perform specific task

Smart speaker - Alexa, Self driving cars, Sophia robot

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13

Ā Artificial GeneralĀ  Intelligence AGIĀ 

(Strong AI)

ā€¢Capability of understanding a vast scope of activities with generalized human cognitive abilities

ā€¢Able to find solution without human intervention.

As of now we donā€™t have such AI in realityĀ  only in movies

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14

Ā Artificial Super Intelligence : ASIĀ 

Artificial Super IntelligenceĀ  isĀ  a term referring to the time when the capability of computers will surpass human

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15

Pros of AI

-Does not get tired easily

-Rational Decision Maker

-Several fields application

-Accurate decision maker

-Selfless with no breaks

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16

Cons of AI

-Incurrs High cost

-Leads to unemployment

-No improvement with experience

-Not creative

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17

AI in Medical Field

ā€¢Robot assisted surgery

ā€¢Data from past operations

ā€¢Realtime data points

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18

AI in streaming

Music and Media streaming

ā€¢Apps like Spotify, Netflix, or YouTube AI is making a decision for the users.

AI records playlist history and generating some recommendationsĀ for watching or playing songs

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19

Applications of AI in our daily life
(personal assistant)

We can use them to

ā€¢Make calls

ā€¢Send messages

ā€¢Set reminders

ā€¢Take notes

ā€¢Recognize music

ā€¢Check calendars and much more

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20

THREE DOMIANS OF AI

ƘDATA

ƘCOMPUTER VISION (CV)

ƘNATURAL LANGUAGE PROCESSING (NLP)

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21

DATA

ā€¢Data is the raw facts

ā€¢It is the core of any AI system

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22

Statistical Data

Statistical Data refers to statistical techniques to analyse, interpret and draw insights from numerical/tabular data

Eg : Amazon uses predictedĀ  data analysis for customers lookĀ  outsĀ  to grow their business

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23

Computer vision

ā€¢Computer vision is the field of computer science that focuses on creating digital systems that can process, analyze, and make sense of visual data (images or videos) in the same way that humans do.

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24

Computer vision is based on

ā€¢The concept of computer vision is based on teaching computers to process an image at a pixel level and understand it.

ā€¢The machines attempt to retrieve visual information, handle it, and interpret results through special software algorithms

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25

Natural Language Processing (NLP)

Natural Language Processing (NLP) is an AI domain focused on textual data enabling machines to comprehend, generate, and manipulate human language.

eg-Virtual assistants in the form of the Amazon Echo or Google, translation software, chatbots, spam filters, and search engines, to grammar correction software, voice assistants, and social media monitoring tools.

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26

Ā Rock Paper and Scissors

This game is based on the domain of AI:- DataĀ  (LEARN,ADAPT AND RESPOND )

The game has 3 rules

Paper can wrap a rock

Scissor can cut the paper

Rock can break the scissor

Guess what the opponent will choose and make an appropriate shape to defeat them

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27

SemantrisĀ Ā 

This game is based on the domain of AI :- NLP

Ā·Each time AI gives you the highlighted clue, you are supposed to enter the most closely associated word to get more scores.

Ā·Check how machine understands your word

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28

Quick Draw

This game is based on the domain of AI: Computer Vision

Quick, Draw!Ā is an onlineĀ guessing gameĀ developed and published byĀ GoogleĀ that challenges players to draw a picture of an object or idea and then uses aĀ artificial intelligenceĀ to guess what the drawings represent.

Ā·An item will be named on the screen for you to draw in 20 seconds after you click on Got it!

Ā·AI will guess whatever you draw on the white screen. Try drawing 6 objects correctly in a row to win the game!

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To understand AI we draw an analogy from

The three strands in a braid.

ā€¢One is the Data strand

ā€¢Second is the Natural Language Processing strand

ā€¢Third is the Computer Vision strand.

They all together constitute the concept called Artificial Intelligence.

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30

Face Lock in Smartphones:

ā€¢Smartphone has many applications that running and provided services with the help of AI.

ā€¢face locks in the smartphoneā€™s, owner can set up his/her face as an unlocking mechanism for it.

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assistants:

We can use them to

ā€¢Make calls

ā€¢Send messages

ā€¢Set reminders

ā€¢Take notes

ā€¢Recognize music

ā€¢Check calendars and much more

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32

Medical Imaging:

It can improve medicalĀ imaging for screenings, precision medicine, and risk assessment.Ā 

To gain a detailed understanding of a patientā€™s health condition.

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33

AI in Medical Field

ā€¢Robot assisted surgery

ā€¢Data from past operations

ā€¢Realtime data points

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34

Fraud and Risk Detection

AIā€™s ability to learn and adapt to new fraudulent patterns ensures that financial institutions stay ahead of malicious actors. By analysing transaction data, AI can detect irregularities that may signal fraudulent activity, enabling proactive measures to mitigate risks.

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35

Medical Imaging:

Medical Imaging:

It can improve medicalĀ imaging for screenings, precision medicine, and risk assessment.Ā 

To gain a detailed understanding of a patientā€™s health condition

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36

Face Lock in Smartphones:

Face Lock in Smartphones:

ā€¢ Smartphone has many applications that running and provided services with the help of AI.

ā€¢face locks in the smartphoneā€™s, owner can set up his/her face as an unlocking mechanism for it.

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37

Smart assistants:

Smart assistants:

Smart assistants like Appleā€™s Siri and Amazonā€™s Alexa recognize patterns in speech, then infer meaning and provide a useful response

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38

Fraud and Risk Detection

AIā€™s ability to learn and adapt to new fraudulent patterns ensures that financial institutions stay ahead of malicious actors. By analysing transaction data, AI can detect irregularities that may signal fraudulent activity, enabling proactive measures to mitigate risks

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39

Music and Media streaming

ā€¢Apps like Spotify, Netflix, or YouTube AI is making a decision for the users.

ā€¢AI records playlist history and generating some recommendationsĀ for watching or playing songs.

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40

SOCI

Social media websites like Twitter, Facebook, Instagram, or Snapchat sending notification and managing timelines by AI

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41

Smart Home

Many smart home devices use AI to learn the behavior of the members of the family and can adjust settings accordingly.

ā€¢Smart voice assistants playing a vital role in smart homes.

ā€¢ Smart thermostats used to adjust the temperature based on the userā€™s preferences.

ā€¢Smart lights change the color and intensity of lights based on time and much more.

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42

A self driving car

ā€¢Uses the combination of sensors, cameras, radar and Artificial Intelligence

ā€¢Use vast amount of data

ā€¢Includes neural network

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