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This glossary of artificial intelligence is a list of definitions of terms and concepts relevant to the study of artificial intelligence, its sub-disciplines, and related fields. Related glossaries include Glossary of computer science , Glossary of robotics , and Glossary of machine vision .
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Artificial intelligence. The following outline is provided as an overview of and topical guide to artificial intelligence: Artificial intelligence (AI) is intelligence exhibited by machines or software. It is also the name of the scientific field which studies how to create computers and computer software that are capable of intelligent behaviour.
A. Affective computing (1 C, 10 P) AI accelerators (12 P) AI software (1 C, 33 P) Ambient intelligence (2 C, 21 P) Applications of artificial intelligence (24 C, 123 P) Argument technology (1 C, 20 P) Artificial immune systems (4 P) Artificial intelligence art (2 C, 52 P)
t. e. The history of artificial intelligence ( AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen. The seeds of modern AI were planted by philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols.
Glossary. v. t. e. Artificial general intelligence ( AGI) is a type of artificial intelligence (AI) that matches or surpasses human capabilities across a wide range of cognitive tasks. [ 1] This is in contrast to narrow AI, which is designed for specific tasks. [ 2] AGI is considered one of various definitions of strong AI .
The following outline is provided as an overview of and topical guide to machine learning: Machine learning – a subfield of soft computing within computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. [ 1] In 1959, Arthur Samuel defined machine learning as a "field of ...
A team from Microsoft Research argued that "it could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system". [35] Other scholars have disputed that GPT-4 reaches this threshold, calling generative AI "still far from reaching the benchmark of ‘general human intelligence’" as of ...