AI w/s Flashcards

1
Q

Father of AI

A

John McCarthy

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2
Q

AI would truly replicate human _______________ and help us in leverage true power of AI.

A

Intelligence

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3
Q

_________is the simulation of human intelligence processes by
machines, especially computer systems.

A

AI

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4
Q

___________________ is a branch of AI that aims to give machines the ability to learn a task
without pre-existing code.

A

Machine Learning

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5
Q

______________________ are very good in certain activities like solving a complicated
numerical problem.

A

Computers

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6
Q

________ is considered to be the first chatbot in the history of Computer Science. It featured a
conversation between human user and a computer program representing a mock psychotherapist.

A

ELIZA

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7
Q

_______ are capable of executing multiple tasks across various fields

A

Broad AI Systems

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8
Q

Siri or Alexa or Google Assistant are examples of _________________________

A

Narrow AI

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9
Q

Brain has ___________ Addressable Memory, while in computers memory is accessed by its exact
memory location (Byte Addressable Memory)

A

Content

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10
Q

_____ AI systems are very good at one specific task that they are designed to do.

A

Narrow

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11
Q

These systems will always produce same answer/ response for specific query

A

Automated Systems

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12
Q

The conversation should be text no speech would be used, if the evaluator cannot tell the machine
from human in the conversation, then machine is said to have passed the ____________

A

Turing Test

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13
Q

.The following can be considered as limitations for AI.
a. Data availability
b. Bias
c. Emotional Intelligence

A

All ofem

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14
Q

An example of Generic AI can be _____

A

. Driverless Car

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15
Q

In the 1950’s _________________________ proposed that human evaluator should judge the
conversations between humans and machines

A

Alan Turing

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16
Q

.In November 2017, __________________ was named the United Nations Development
Programme’s first ever Innovation Champion and is the first non-human to be given any United
Nation title.

A

Sophia

17
Q

.Deep Learning is a part of a broader family of ___________ learning methods based on artificial
neural networks.

A

Machine

18
Q

As more and more algorithms look for the same answer, it boosts _____________ confidence and
helps it to make the right response/guess.

A

IBM Watson’s

19
Q

.Sophia is a social humanoid robot developed by Hong Kong-based company ____________

A

Hanson Robotics

20
Q

Underlying Watson was 16 Terabytes of RAM through which it could process 500 gigabytes
(____________ Million Books) per second.

A

1

21
Q

.Deep Learning are the algorithms made by computer scientists - these codes are known as
______________

A

Artificial Neural Networks

22
Q

Al has three underlying domains Data, Computer Vision (CV) and
_________________

A

Natural Language Processing

23
Q

.Data _______________ is the process of gathering and measuring information from countless
different sources.

A

Collection

24
Q

____________ machine learning is the training of machine using a sample of labelled class data to
train the machine what is right vs what is wrong.

A

Supervised

25
Q

There is a mutual reciprocal relationship between Big Data and _________

A

AI

26
Q

________ Data is a collection of data that is huge in volume yet growing exponentially with time.

A

Big

27
Q

In simplest terms, ______________ is a subset of AI that lets machines see and extract meaning
from pixels in an image

A

Computer Vision

28
Q

__________________ is a field of computer science that aims to understand or generate
human languages, either in text or speech form.

A

Natural Language Processing (NLP)

29
Q

Some _______________ applications include Self-Driving-Cars, Facial recognition-based tracking
systems with vision cameras and Amazon Go.

A

Computer Vision

30
Q

______ is the starting point for all Al applications

A

Data