Allegro Common Lisp is a full ANSI Common Lisp (1994) implementation. It contains many extensions, including 32- and 64-bit native compilation, efficient built-in memory management, foreign functions (for interfacing with other languages), multiprocessing, UNICODE and locale support, XML/HTML parsers, a Web client and server, GTK+ interface (1.2 and 2.0), Java interface, OLE interface (Windows only), profiler, regular expressions, an XML RPC implementation, native Lisp RPC, sockets, DLL and shared library support, and more.
Care2x (formerly Care 2002) is software for hospitals and health care organizations. It is designed to integrate the different information systems existing in these organizations into a single efficient system. It solves the problems inherent in a network of multiple programs that are incompatible with each other. It can integrate almost any type of services, systems, departments, clinics, processes, data, or communication that exist in a hospital. Its design can even handle non-medical services or functions like security or maintenance. All of its functions can be accessed with a Web browser, and all program modules are processed on the server side.
Conquest is a simultaneously-executed turn-based tactical combat game placed in a dark and distant future. Play the role of a futuristic commander. Divide your armies and conquer the world. Position satellites to reveal your opponents. Launch missiles to annihilate big armies, but watch out for incoming drop pods behind your back. Standing in your path to victory are other commanders like yourself. Fight them off one by one and prove you are the greatest of the great. The combination of fast gameplay and randomly generated maps equals intense, restless nights of battles for cities. Drag and drop your way to victory.
Fast Artificial Neural Network Library is a neural network library that implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. C++, Perl, PHP, .NET, Python, Delphi, Octave, Pure Data, and Mathematica bindings are available. A reference manual accompanies the library with examples and recommendations on how to use the library. A graphical user interface is also available for the library.
FramerD is a semi-structured object database integrated with a Scheme-based scripting language which supports multi-lingual programming (with pervasive Unicode), a stable module system for programming in the large, distributed applications (via an extensible RPC protocol), non-deterministic (PROLOG-like) evaluation for search and set operations, multi-threaded program execution, extensive tools for text and language analysis, built-in HTML/XML/MIME parsers, and intuitive (CGI- and FastCGI-based) Web scripting. The built-in object database robustly supports millions of objects and indexed access to those objects, both through disk files and networked servers.
IkeWiki is a new kind of Wiki (a so-called "Semantic Wiki") developed by Salzburg Research that allows users to collaboratively annotate pages and links between pages with semantic annotations. Such annotations are useful because they give machines a certain amount of "understanding" of the content that goes beyond merely displaying the page. This information can then, for example, be used for context-specific presentation of pages, advanced querying, consistency verification, or drawing conclusions.
The purpose of Mind AI is to build an artificial mind based on some advanced concepts: machine learning, representation and meta representation of concepts, concept reflection, reification (concept to meta concept), and denotation (meta concept to concept), and to explore some new concepts. Interaction with the AI is done via IRC.
Mindmeld is an enterprise-capable knowledge sharing system designed for any Web community that needs to capture and share information. It is unique in that the knowledge base grows smarter every time it's used. It incorporates terms used in each search into a contextual map of the answer itself, continually improving its ability to derive contextual information from a given search. The system learns how people typically search for an answer by identifying which terms are most valuable in any specific context.