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Key Terms

adversarial attack
sample input (e.g., an image) that is designed to cause a system to behave problematically
algorithm
sequence of precise instructions
artificial intelligence (AI)
development of computer functions to perform tasks, such as visual perception and decision-making processes, that usually are performed by human intelligence
big data
very large datasets that aren’t easily processed using spreadsheets
computational science
application of computing concepts and technologies to advance scientific research and practical applications of science knowledge
computer program
algorithms that can be run on a computer
computer science (CS)
study of the phenomena surrounding computers
computing
all phenomena related to computers
data science
interdisciplinary field that applies computing toward managing data and extracting information from data
hardware
physical, real-world materials that enable computation
human-computer interaction (HCI)
subfield of computer science that emphasizes the social aspects of computation
image recognition
problem of identifying objects in an image
information science
interdisciplinary field studying information technologies and systems as they relate to people, organizations, and societies
memory
means of addressing information in a computer by storing it in consistent locations
network
various technological devices that are connected and share information
neural network
AI algorithm architecture that emphasizes connections between artificial “neurons” whose behavior and values change in response to stimulus or input
processor
computer’s “brain,” that follows instructions from algorithms and processes data
programming language
language consisting of symbols and instructions that can be interpreted by a computer
social determination of technology
belief that technologies are inherently neutral, and that it is the people who use a technology who ultimately make it “good” or “bad”
software
algorithmic principles that determine how results are computed
software engineering
subfield of computer science that emphasizes how problems can be solved with computers as well as the practices and processes that can help people design more effective software solutions
spreadsheet
data-centric programming environment where data is organized into cells in a table
storage
hardware and physical components of a computer that permanently house a computer’s data
technological fix
idea that technologies can solve social problems, but now often used to critique blind faith in technological solutions to human problems
theoretical computer science
mathematical processes behind software
Turing-complete
fundamental model for computing results and every computer has the ability to run any algorithm
vacuum tube
physical device that works like a light bulb used as memory in early digital computers
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