BioJava aims to provide a comprehensive set of Java components for the rapid development of applications in Bioinformatics. It contains interfaces for representing Sequences, Features, and other important bioinformatics concepts. It can also read and write sequence data in a variety of common formats and communicate with Ensembl databases and with DAS and BioCorba servers.
Grok is a library of Java components for performing various natural language tasks. These include several preprocessing tasks, chart parsing, a large categorial grammar for English (induced from the Penn treebank), and some knowledge representation components (basic coreference, salience tracking, etc.). The library also has a companion kit which provides a GUI interface to the components, several of which are implementations of interfaces in the Quipu OpenNLP API.
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka is also well-suited for developing new machine learning schemes. The development version contains a GUI with visualization tools and direct database access.
Jude is a rapid application development tool to develop data management workgroup applications that easy-to-maintain for developers and easy-to-use for end users. It is based on a knowledge base with an object oriented structure on the server side and a compound document agent-based user interface on the client side.
OpenAI is a project which is centred around the advancement of Artificial Intelligence. The project itself is geared toward developing specifications for AI and a default implementation for a set of well known AI tools. This is OpenAI's Neural Network release. The software is written in Java and is built in a modular fashion so that new algorithms and learning rules can be created. Configuration and persistence will be done through XML and a CORBA interface is provided for applications that wish to incorporate the technology.
The OpenAI project is centered around the advancement of Artificial Intelligence. It is geared toward developing specifications for AI and a default implementation for a set of well-known AI tools. The genetic algorithm is written in Java and is built in a modular fashion so that new algorithms and evolution rules can be created.
DREAM (The Distributed Resource Evolutionary Algorithm Machine) seeks to provide the technology and software infrastructure necessary to support the next generation of evolving infohabitants in a way that makes that infrastructure universal, open, and scalable. It will use existing hardware infrastructure in a much more efficient manner, by utilising otherwise-unused CPU time. It will allow infohabitants to co-operate, communicate, negotiate and trade; and emergent behaviour is expected to result. It is expected that there will be an emergent economy that results from the provision and use of CPU cycles by infohabitants and their owners. The DREAM infrastructure will be evaluated with new work on distributed data mining, distributed scheduling, and the modelling of economic and social behaviour.