Search Results for "artificial intelligence algorithm"
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8 projects for "artificial intelligence algorithm" with 2 filters applied:
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Keep company data safe with Chrome EnterpriseMake AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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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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Fi-shell is a front-end to your system shell. It provides nonblocking i/o (concurrency) and pattern maching that is both easy to remember and readable (logic programming)
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Sakura is a Knowledge Navigator and User Interface for UNIX, which implements HyperMedia and its own windowing and packing system, both in the main program and in an extensive API for Tcl and other languages.
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Easily Usable Lisp Utilized Interface and Editor aims to make GNU/Linux more enjoyable, and productive in the console environment.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Erc is an interpreted link-oriented language. Majic is a java-based interpreter for Erc, and Majicc is a c++ based compiler for Erc which uses the Majic libraries.
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The purpose of the project is to make the bash behave intelligent. This includes currently corrrection of mistyped program names, autocorrection while pressing TAB and learning which program are associated with which suffix.
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VOCP is a complete messaging solution for voice modems, with voicemail, fax, email pager, DTMF command shell and Text-to-Speech support, 3 GUIs and a web interface. Send and receive faxes and voicemail, listen to emails and execute programs on the host.
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The Prolog Expert System Shell (PESS) is a software that generates ES using basically two components: Knowledge Base, used by the ES to guide its decisions making, and Inference Machine, cable of collection the rules and generating new facts.
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