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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]
This glossary of artificial intelligence is a list of definitions of terms and concepts relevant to the study of artificial intelligence (AI), its subdisciplines, and related fields. Related glossaries include Glossary of computer science , Glossary of robotics , and Glossary of machine vision .
International Joint Conferences on Artificial Intelligence; Machine Intelligence Research Institute; Partnership on AI – founded in September 2016 by Amazon, Facebook, Google, IBM, and Microsoft. Apple joined in January 2017. It focuses on establishing best practices for artificial intelligence systems and to educate the public about AI.
Artificial general intelligence (AGI) is a type of artificial intelligence (AI) that matches or surpasses human cognitive capabilities across a wide range of cognitive tasks. This contrasts with narrow AI , which is limited to specific tasks. [ 1 ]
Artificial Intelligence: A Modern Approach (AIMA) is a university textbook on artificial intelligence (AI), written by Stuart J. Russell and Peter Norvig. It was first published in 1995, and the fourth edition of the book was released on 28 April 2020.
Artificial intelligence in education (AIEd) is another vague term, [4] and an interdisciplinary collection of fields which are bundled together, [5] inter alia anthropomorphism, generative artificial intelligence, data-driven decision-making, AI ethics, classroom surveillance, data-privacy and AI literacy. [6]
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 study of logic and formal reasoning from antiquity to the present led directly to the invention of the programmable digital computer in the 1940s, a machine ...
The book is intended to explain how computers reason and perceive, and introduce the field of artificial intelligence. It describes the field, both as a branch of engineering and as a science, providing a computational perspective. Ideas for representing knowledge, using knowledge, and building practical systems are provided.