History of AI and Evolution of Data Science Flashcards

1
Q

When and where was AI born as a distinct field?

A

1956 during a conference at Dartmouth College in New Hampshire.

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2
Q

When was the first “AI Summer”?

A

Mid-1950s to mid-1970s.

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3
Q

When was the first “AI Winter”?

A

Mid-1970s to mid 1980s.

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4
Q

When was the second “AI Summer”?

A

Mid 1980s to late 1980s.

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5
Q

When was the second “AI Winter”?

A

Late 1980s to late 1990s.

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6
Q

What time period is considered the “Renaissance and the Era of Big Data”?

A

Late 1990s to present.

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7
Q

What was the first AI programming language?

A

LISP

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8
Q

What is one of the earliest examples of Natural Language Processing?

A

ELIZA - it simulated a Rogerian psychotherapist by rephrasing a patient’s statements as questions and posing them to the patient.

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9
Q

What is the definition of data science?

A

The science of dealing with data, once they have been established, while the relation of the data to what they represent is delegated to other fields and sciences.

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10
Q

What was the “Foundations” time period for data science?

A

1960s to 1980s

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11
Q

When was the “Age of Databases”?

A

1980s to 1990s

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12
Q

Name two transformational developments which altered the ways businesses dealt with data.

A

1) Relational Database Management Systems (RDBMS)
2) Structured Query Language (SQL)

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13
Q

When was the “Advent of the Internet”?

A

1990s to 2000s

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14
Q

What does “Big Data” refer to?

A

The exponential growth of data.

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15
Q

What is the definition of ”Data Mining”?

A

The process of discovering patterns in large data sets.

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16
Q

When was the “Rise of Data Science”?

A

2000s to 2010s

17
Q

What is Hadoop?

A

An open-source software for storing data and running applications on clusters of commodity hardware which provided a significant boost to data storage and processing capabilities.

18
Q

Describe “Current Trends” in Data Science.

A

From the 2010s to the present, there has been an explosion of machine-generated data, including IoT and social media data, which has also led to the growth of real-time analytics and a need for advanced data processing techniques.

19
Q

Name the modern drivers of AI and Data Science.

A
  • Cloud Computing
  • Mobile Technology and Social Media
  • Internet of Things (IoT)
  • Privacy Enhancing Technologies (PETs) and Blockchain
  • Computer Vision, AR/VR and the Metaverse