History of AI
Interactive Video
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Computers
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Professional Development
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Easy
Adrian Mallia
Used 1+ times
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was the primary purpose of the Turing Test, proposed by Alan Turing in 1950?
To evaluate a machine's ability to perform complex calculations.
To determine if a machine can exhibit human-like intelligence through natural language conversation.
To measure the processing speed of early computers.
To assess a machine's capacity for emotional understanding.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In what year was the term "Artificial Intelligence" formally coined, marking the establishment of AI as a field of study?
1950
1956
1960
1997
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What primary factors contributed to the period known as the "AI Winter" in the 1960s and 1970s?
Lack of interest from the scientific community.
Excessive funding leading to oversaturation.
Limitations in technology and data availability, leading to reduced funding and interest.
Ethical concerns about AI development.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which significant event in 1997 marked a resurgence of interest in AI, demonstrating a machine's ability to defeat a human world champion in a complex game?
The development of the first self-driving car.
IBM's Deep Blue defeating Garry Kasparov in chess.
The creation of the first humanoid robot.
The launch of the first AI-powered search engine.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What technological advancements in the late 1990s and early 2000s proved to be a turning point for AI research?
Development of quantum computing.
Significant increase in computer power and rapid expansion of the internet.
Discovery of new programming languages.
Creation of virtual reality systems.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Who co-published a paper in 2006 that revived interest in neural networks with "deep learning" techniques?
Alan Turing
John McCarthy
Geoffrey Hinton
Andrew Ng
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the two primary requirements for running deep learning models effectively?
Minimal data and low computational power.
Lots of data and high computational power.
Specialized hardware and limited internet access.
Human supervision and small datasets.
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