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  2. Mathematics of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Mathematics_of_artificial...

    Mathematics of artificial neural networks. An artificial neural network (ANN) combines biological principles with advanced statistics to solve problems in domains such as pattern recognition and game-play. ANNs adopt the basic model of neuron analogues connected to each other in a variety of ways.

  3. Lean (proof assistant) - Wikipedia

    en.wikipedia.org/wiki/Lean_(proof_assistant)

    Later that year, Meta AI created an AI model that has solved 10 International Mathematical Olympiad problems; this model is available for public use with the Lean environment. [18] In 2024, Google DeepMind created AlphaProof [19] which proves mathematical statements in Lean at the level of a silver medalist at the International Mathematical ...

  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. History of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/History_of_artificial...

    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 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 ...

  6. Symbolic artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Symbolic_artificial...

    e. In artificial intelligence, symbolic artificial intelligence (also known as classical artificial intelligence or logic-based artificial intelligence) [1][2] is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. [3]

  7. Alexandr Wang - Wikipedia

    en.wikipedia.org/wiki/Alexandr_Wang

    Alexandr Wang (born January 19, 1997) is the American founder and CEO of Scale AI, a data annotation platform that provides training data for machine learning models. [1][2] At age 24, he became the youngest self-made billionaire in the world. [3][4][5] According to Forbes, he is currently worth $2 billion, as of July 2024. [1]

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