Showing 4 open source projects for "artificial intelligence linux"

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  • 1
    GNU Prolog

    GNU Prolog

    The GNU Prolog native compiler

    GNU Prolog is a free implementation (under GPL) of the logic programming language PROLOG. It can compile to native machine code which is extremely fast in execution. Another feature is the included constraint solver.
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    Downloads: 246 This Week
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  • 2
    CLISP - an ANSI Common Lisp
    CLISP is a portable ANSI Common Lisp implementation and development environment by Bruno Haible. Interpreter, compiler, debugger, CLOS, MOP, FFI, Unicode, sockets, CLX. UI in English, German, French, Spanish, Dutch, Russian, and Danish.
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    Downloads: 532 This Week
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  • 3
    Human Speakable Programming Language

    Human Speakable Programming Language

    foundation of the General Intelligence Operating System

    HSPL is Human Speakable Programming Language, allowing for communication between human-to-computer and human-to-human in the same language. This project has moved to http://sourceforge.net/p/spel We are currently working on human-to-computer programming-language with mostly English base vocabulary. Though once we have that, we plan to add support for other world Languages, including Chinese, Spanish, Russian, Arabic, Hindi, among others. Eventually HSPL shall be the...
    Downloads: 1 This Week
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  • 4
    Maiden-core is a Linux kernel robotics API module, extensible in Erc. The Maiden Project also documents and develops the Maiden architecture for mobile robots, a set of (optional) designs and standards for robots using the Maiden-core API.
    Downloads: 0 This Week
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  • Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum Knight Icon
    Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum Knight

    Lock Down Any Resource, Anywhere, Anytime

    CLEAR by Quantum Knight is a FIPS-140-3 validated encryption SDK engineered for enterprises requiring top-tier security. Offering robust post-quantum cryptography, CLEAR secures files, streaming media, databases, and networks with ease across over 30 modern platforms. Its compact design, smaller than a single smartphone image, ensures maximum efficiency and low energy consumption.
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