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  2. File:Peter Norvig. Paradigms of AI Programming.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Peter_Norvig...

    English: Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp by Peter Norvig "This is an open-source repository for the book Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp by Peter Norvig (1992), and the code contained therein.

  3. Lisp (programming language) - Wikipedia

    en.wikipedia.org/api/rest_v1/page/pdf/Lisp...

    Lisp, Scheme, Racket, and Clojure.[6][7][8] Lisp was originally created as a practical mathematical notation for computer programs, influenced by (though not originally derived from)[9] the notation of Alonzo Church's lambda calculus. It quickly became a favored programming language for artificial intelligence (AI) research.[10]

  4. Lisp (programming language) - Wikipedia

    en.wikipedia.org/wiki/Lisp_(programming_language)

    Lisp (historically LISP, an abbreviation of "list processing") is a family of programming languages with a long history and a distinctive, fully parenthesized prefix notation. [3] Originally specified in the late 1950s, it is the second-oldest high-level programming language still in common use, after Fortran.

  5. Paradigms of AI Programming - Wikipedia

    en.wikipedia.org/wiki/Paradigms_of_AI_Programming

    Paradigms of AI Programming: Case Studies in Common Lisp (ISBN 1-55860-191-0) is a well-known programming book by Peter Norvig about artificial intelligence programming using Common Lisp. History [ edit ]

  6. Lisp machine - Wikipedia

    en.wikipedia.org/wiki/Lisp_machine

    "If It Works, It's Not AI: A Commercial Look at Artificial Intelligence startups" "Symbolics, Inc.: A failure of Heterogenous engineering" – (PDF) "My Lisp Experiences and the Development of GNU Emacs" – transcript of a speech Richard Stallman gave about Emacs, Lisp, and Lisp machines

  7. Hardware for artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Hardware_for_artificial...

    Specialized computer hardware is often used to execute artificial intelligence (AI) programs faster, and with less energy, such as Lisp machines, neuromorphic engineering, event cameras, and physical neural networks. Since 2017, several consumer grade CPUs and SoCs have on-die NPUs. As of 2023, the market for AI hardware is dominated by GPUs. [1]

  8. Artificial intelligence in architecture - Wikipedia

    en.wikipedia.org/wiki/Artificial_Intelligence_in...

    Artificial Intelligence is thought to potentially lead to and ensue major changes in architecture. [1] [2] [3] AI's potential in optimization of design, planning and productivity have been noted as accelerators in the field of architectural work. The ability of AI to potentially amplify an architect's design process has also been noted. Fears ...

  9. Lisp (book) - Wikipedia

    en.wikipedia.org/wiki/Lisp_(book)

    The code examples were highlighted as being the strength of the book, being small enough to understand, but large enough to illustrate and motivate important techniques in symbolic programming. [8] In a 1993 review of Artificial Intelligence by Doris Appleby, the 1989 edition of LISP was reviewed in its role as a companion reference. Appleby ...