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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 (AI), its subdisciplines, 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]
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 ...
ASICs are chips purpose-built for specific use cases like accelerating artificial intelligence (AI) workloads. ... up from $12.2 billion in 2024. In other words, the company anticipates that ...
Synthetic intelligence (SI) is an alternative/opposite term for artificial intelligence emphasizing that the intelligence of machines need not be an imitation or in any way artificial; it can be a genuine form of intelligence.
Artificiality (the state of being artificial, anthropogenic, or man-made) is the state of being the product of intentional human manufacture, rather than occurring naturally through processes not involving or requiring human activity.
In other words, Nvidia has been able to use AI-GPU scarcity to its advantage to increase the price point of its hardware and pump up its gross margin to the mid-70% range.
In the last two years, artificial intelligence (AI) has attracted more investment interest than any other theme. To me, the real start of the AI frenzy was November 30, 2022.