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Robot characters in video games (2 C, 33 P) Pages in category "Artificial intelligence characters in video games" The following 20 pages are in this category, out of 20 total.
Print/export Download as PDF ... Artificial intelligence characters in video games (1 C, 20 P) V. ... Pages in category "Fictional artificial intelligences"
Allen Institute for Artificial Intelligence – research institute funded by Microsoft co-founder Paul Allen to construct AI systems with reasoning, learning and reading capabilities. The current flagship project is Project Aristo, the goal of which is computers that can pass school science examinations (4th grade, 8th grade, and 12th grade ...
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]
Afrikaans; Anarâškielâ; Ænglisc; Аԥсшәа; العربية; Aragonés; Azərbaycanca; تۆرکجه; বাংলা; 閩南語 / Bân-lâm-gú; Башҡортса
Prompt engineering is the process of structuring or crafting an instruction in order to produce the best possible output from a generative artificial intelligence (AI) model. [ 1 ] A prompt is natural language text describing the task that an AI should perform. [ 2 ]
HAL 9000 (or simply HAL or Hal) is a fictional artificial intelligence character and the main antagonist in the Space Odyssey series. First appearing in the 1968 film 2001: A Space Odyssey, HAL (Heuristically Programmed Algorithmic Computer) is a sentient artificial general intelligence computer that controls the systems of the Discovery One spacecraft and interacts with the ship's astronaut crew.
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...