Chap 3:EMTE Flashcards

1
Q

what’s the definition of AI? by the founder of the word

A

John mcarthy defines AI it as the science and engineering of making intelligent machines, especially intelligent computer programs

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2
Q

AI

A

is the branch of computer science by which we can create intelligent machines which can behave like a human, think like a human and be able to make decisions.

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3
Q

what is intelligence ? what is knowledge ? what is experience?

A

intelligence is the ability to acquire and apply knowledge
knowledge is the information acquired through experience
Experience is the knowledge gained through exposure

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4
Q

what are AI based machines intended to do ?

A

they are intended to perceive their environment and take actions that optimize their level of success.

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5
Q

what is intelligence composed of?

A
  1. learning
  2. reasoning
  3. problem solving
  4. perception
  5. linguistic intelligence
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6
Q

what is an AI system composed of ?

A

an agent and its environment
an agent is anything (human or robot) that can perceive its environment through sensors and act upon that environment through effectors.

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7
Q

what is machine perception?

A

its the ability to use input from sensors (cameras, mics) to deduce aspects of the world , like computer vision.

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8
Q

what are some high profile examples of AI?

A

autonomic vehicles
proving mathematical theorems
playing games(chess)
search engines (google)
online assistants (SIRI)

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9
Q

What does AI deal with?

A

it deals with the area of developing computing systems that are capable of performing tasks that
humans are very good at, for example recognizing objects, recognizing and making sense of
speech, and decision making in a constrained environment.

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10
Q

what is machine learning ?

A

its an advanced form of AI where the machine can learn as it goes rather having every action programmed by humans.

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11
Q

what are neural networks ?

A

they are biologically inspired networks that extract features from the data in a hierarchical fashion.

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12
Q

what is deep learning ?

A

its the filed of neural networks with several hidden layers.
it is also a machine learning technique that teaches computers to do what comes naturally to humans: learn by example.

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13
Q

where can AI can be applied ?

A
  1. transportation = self driven vehicles
  2. home services and robots= vacuum cleaners and personal assistants and drones for package delivery
  3. education=
  4. public safety and security= cameras and drones for surveillance
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14
Q

what are the goals of AI?

A
  1. replicate human intelligence
  2. building a machine which can perform tasks
  3. crating some system which exhibit intelligent behavior , learn new things by itself , demonstrate , explain and can advise to its user.
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15
Q

what disciplines does AI require to achieve intelligence

A

to achieve the intelligence factors for a machine , they use disciplines like :
sociology , maths, philosophy, biology , neuron science, psychology and computer science

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16
Q

what are the advantages of AI?

A
  1. high accuracy with fewer errors
  2. high speed
  3. high reliability
  4. useful for risky areas
  5. digital assistant
  6. useful as a public utility
17
Q

what are the disadvantages of AI?

A
  1. high cost
  2. cant think out of the box
  3. unemployment
  4. no feelings and emotions
  5. increase dependance on machines
  6. no original creativity
18
Q

what are the levels of AI?

A

stage 1 rule based systems
stage 2 context awareness and retention
stage 3 domain specific expertise
stage 4 reasoning machines
stage 5 self aware systems / AGI
stage 6 artificial super intelligence
stage 7 singularity and transcendence

19
Q

what are the main types of AI?

A

there are 2 main types of AI:
1. type 1 which is based on the capabilities of AI
1. type 2 which is based on the functionality of AI

20
Q

what are the types of AI based on their capabilities?

A
  1. Narrow AI
    2.General AI
    3.Strong AI
21
Q

what are the types of AI based on their functionality ?

A
  1. Reactive machines
  2. Limited memory
  3. Theory of mind
  4. Self awareness
22
Q

what are the 3 stages of intelligence or the cognitive process?

A
  1. observe and input the information or data in the brain
  2. interpret and evaluate the input that is received from the surrounding environment
  3. make decisions as a reaction towards what you received as an input and interpreted and evaluated.
23
Q

why is it possible to map human thinking to AI components?

A

Because AI is the science of stimulating human thinking , it is possible to map the human thinking stages to the layers or components of AI systems.

24
Q

Map the 1st stage

A

In the first stage humans acquire information from their surroundings through human senses, such as hearing and sight senses. AI can do the same thing through sensors like voice recognition and visual imaging through the sensing layer.

25
Q

Map the 2nd stage

A

in the second stage humans interpret and evaluate the input data in the brain. That is represented by the interpretation layer for AI. they reason and think about the gathered input that is acquired by the sensing layer.

26
Q

Map the 3rd stage

A

in the third stage humans take action and make decisions. For AI the interacting layer performs the necessary tasks. for ex: robotic movement control

27
Q

what are the influencers or the reasons why AI is taking off now?

A
  1. big data
  2. cloud computing and API’s
  3. Emergence of data science
  4. advancements in computer processing speed and new chip architectures
28
Q

Big data

A

there is structures data and unstructured data
there has been advancements in computer processing speed and architectures and big data file systems.

29
Q

what is cloud computing

A

its the delivery of on demand services usually through the internet.
the services could be data analysis , social media , video storage.

30
Q

what are cloud platform capabilities

A

availability , scalability , accessibility , rapid deployment , flexible billing options, simpler operations and management.

31
Q

whats API

A

its a software intermediary that allows 2 applications to talk to each other. like a telegram link on facebook

32
Q

what are the most common AI platforms.

A

microsoft azure machine learning
tensorflow
google cloud prediction API

33
Q

what are the tools that AI developed to solve difficult problems in computer science ?

A
  1. Search and optimization
  2. Logic
    3.Probabilistic methods for uncertain reasoning
  3. Classifiers and statistical learning methods
  4. Neural networks
  5. Control theory
  6. Languages
34
Q

what are AI fundamental research areas ?

A
  1. machine learning
  2. natural language processing ( human natural learning and speech )
  3. computer vision
  4. business analytics
35
Q

where can we find NPL (natural language processing)?

A
  1. machine translation
  2. search engines such as google
  3. spell checkers
  4. natural language assistants such as siri
  5. translation systems such as google translate
  6. news digest such as yahoo
36
Q

what are the most important features of IOT?

A
  1. AI
  2. Connectivity
    3.Sensors
    4.Active engagement
  3. Small device use