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  2. IBM Watson - Wikipedia

    en.wikipedia.org/wiki/IBM_Watson

    The high-level architecture of IBM's DeepQA used in Watson [9]. Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.

  3. Hallucination (artificial intelligence) - Wikipedia

    en.wikipedia.org/wiki/Hallucination_(artificial...

    In the field of artificial intelligence (AI), a hallucination or artificial hallucination (also called bullshitting, [1][2] confabulation[3] or delusion[4]) is a response generated by AI which contains false or misleading information presented as fact. [5][6][7] This term draws a loose analogy with human psychology, where hallucination ...

  4. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    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]

  5. Google researchers claim new breakthrough in getting AI to ...

    www.aol.com/finance/google-researchers-claim...

    The news was an advancement on a system that the AI research lab had unveiled in January, called AlphaGeometry, that could solve geometry problems from the IMO about as well as top high school ...

  6. Missionaries and cannibals problem - Wikipedia

    en.wikipedia.org/wiki/Missionaries_and_cannibals...

    The missionaries and cannibals problem, and the closely related jealous husbands problem, are classic river-crossing logic puzzles. [1] The missionaries and cannibals problem is a well-known toy problem in artificial intelligence, where it was used by Saul Amarel as an example of problem representation. [2][3]

  7. Artificial general intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_general...

    A problem is informally called "AI-complete" or "AI-hard" if it is believed that in order to solve it, one would need to implement AGI, because the solution is beyond the capabilities of a purpose-specific algorithm. [42] There are many problems that have been conjectured to require general intelligence to solve as well as humans.

  8. Knowledge representation and reasoning - Wikipedia

    en.wikipedia.org/wiki/Knowledge_representation...

    Knowledge representation and reasoning. Knowledge representation and reasoning (KRR, KR&R, KR²) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can use to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language.

  9. Turing test - Wikipedia

    en.wikipedia.org/wiki/Turing_test

    The interrogator is limited to using the responses to written questions to make the determination. [1] The Turing test, originally called the imitation game by Alan Turing in 1950, [2] is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human.