TG4 Flashcards

1
Q

goal of AI

A

build machines that mimic human intelligence.

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2
Q

THE TURIG TEST

A

proposes a scenario in which a man and a computer both pretend to be women or men, and a human interviewer has to identify which is the real human

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3
Q

Strong AI

A

hypothetical artificial intelligence that matches or exceeds human intelligence—the intelligence of a machine that could successfully perform any intellectual task that a human being can. Strong AI, therefore, could be considered to have consciousness or sentience.

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4
Q

Weak AI

A

(also called narrow AI) performs a useful and specific function that once required human intelligence to perform, and does so at human levels or better

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5
Q

CENTAURS IN CHESS

A

HUMANS AND AI

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6
Q

WHAT ARE THE FOUR STAGES OF AI

A

1st stage: recommendation systems

2nd stage: analyzing the data

3rd stage: analyze additional data from smart devices and sensors

fourth stage: integrate the 3 stages and enable machines to sense and response to the world around them

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7
Q

WHAT IS AI

A

AS Tasks that humans perform, NOT how humans think

  • A subfield of computer science that studies the thought process of humans, recreating effects of those processes through information systems
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8
Q

advancements in chip technology

A

AI systems employ graphics processing units (called GPU chips).
These chips were developed to meet the visual and parallel processing demands of video games. In
fact, GPU chips facilitate parallel processing in neural networks, which are the primary information
architecture of AI software

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9
Q

Big Data- advancement in AI

A

Big Data consists of diverse, high-volume, high-velocity information assets that require new
types of processing to enable enhanced decision making, insight discovery, and process optimization.
Big Data is now being used to train deep learning software

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10
Q

INTERNET AND CLOUD COMPUTING- ADVANCEMENTS IN AI

A

The Internet and cloud computing make Big Data available to AI
systems, specifically neural networks, and provide the computational capacity needed for AI systems

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11
Q

IMPROVED ALGORITHM- ADVANCEMENTS IN AI

A

An algorithm is a problem-solving method expressed as a finite sequence of
steps. Researchers are rapidly improving the capabilities of AI algorithms. AI algorithms also run
much faster on GPU chips

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12
Q

4 types of ai tech

A

expert systems: Systems that mimic humans

machine learning: Algorithms that learn and make predictions about data

deep learning: A subset of ML. Discovery of new patterns without exposure to labelled historical or training data

neural networks: — A set of virtual neurons or CPUs
— Work in parallel to simulate the way the brain works

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13
Q

Application sof AI

A
  • Computer vision
  • Natural Language Processing
  • Robotics
  • Speech Recognition
  • Intelligent Agents
    — Information agents (i.e. Shopping bot)
  • Monitoring and surveillance agents (Predictive Agents)
    — Constantly observe and report on something of interest
  • User agents (Personal Agents)
    — Take action on your behalf (i.e. Checking your email according to rules
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14
Q

activity: shopping bot

A
  • You have decided to purchase a new “smart” television. To purchase it as inexpensively
    as possible and still get the features you want, you use a shopping bot. Visit several of
    the shopping bot websites that perform price comparisons for you. Begin with MySimon
    (www.mysimon.com), BizRate.com (www.bizrate.com), and Google Product Search.
  • Compare these shopping bots in regard to ease of use, number of product offerings,
    speed in obtaining information, thoroughness of information offered about products
    and sellers, and price selection. Which site or sites would you use, and why? Which
    television would you select and buy? How helpful were these sites in making your
    decision?
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15
Q

activity: my majors

A

Access the MyMajors website (www.mymajors.com). This site contains a rule-
based expert system to help students find majors. The expert system has more
than 300 rules and 15,000 possible conclusions. The site ranks majors according
to the likelihood that a student will succeed in them, and it provides six possible
majors from among 60 alternative majors that a student might consider.
* Take the quiz, and see if you are in the “right major” as defined by the expert
system. You must register to take the quiz

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16
Q

robotics

A
  • A branch of science and engineering
  • Dedicated to design, construction and use of robots
  • The intersection of science, engineering & technology
  • Produce robots that can help & assist humans, or substitute or
    replicate human actions
17
Q

aspects of robotics

A
  • Mechanical construction
  • Electrical components
  • Computer programming
18
Q

common robot applications

A
  • Military
  • Industrial
  • Collaborative
  • Construction
  • Agriculture
  • Medical
  • Kitchen
  • Sport – Robot Combat
  • Domestic
19
Q

What is nnatural itlleigence

A

human intelligence

20
Q

deep learning examples

A

speech recognition, image recogniion, crm

21
Q

computer visiton

A

ability of info system to identify objects scenes ad actibtiies in images

22
Q

natural language processing

A

ability of info system to work w text the human do (understand meaning f text and write text)

23
Q

robotics

A

integrating computer system with high perormance sensors and actuators

unmanned avs, robotic vacuum clenaers

24
Q

intelligent agents

A

virtual assistants (siri, echo, cortana)

25
Q

intelligent agent

A

programs to assist u

26
Q

info agents

A

search for info and display it to users

-> buyer agent: “shopping bot” (helps find products for customers online)

27
Q

minotring and surveillance agents

A

are predictive agents, observe and report on some item of interest

28
Q

user agent

A

personal agents, they take action on ur behalf

ex: check email, ossrt it to priority, automatically fill out forms for u

29
Q
A