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 The RoboCup Robot ChallengesCreated in 1997, RoboCup is an annual tournament composed of several robotic competitions including soccer, rescue, and tasks around the home. The competitions allow teams to not only have fun, but assist in the development of the fields of robotics ... Read more |
 Evolving Artwork Generated by Distributed SystemThe Electric sheep open-source screensaver utilizes a network of 60,000 computers to render frames of an ever changing collection of fractal-based animations. A genetic algorithm is employed to ensure that no two animations are the same and that desirable visuals ... Read more |
Annual Turing Test ChallengesThere are presently two major chatterbot contests which utilize the Turing Test as the determinant - the bot which most closely comes to passing (or does pass) the Turing Test is deemed the winner. These two contests, the Loebner Prize ... Read more |
Mind Reading Devices Going MainstreamSome interesting new mind-reading headsets are finding their way to market. The devices relay the electrical signals within the wearer's brain to a computer, which then can use the information to control such things as characters in video games, medical ... Read more |
 Distributed AI Coming to a Computer Near YouCanadian high-tech startup Intelligence Realm is constructing a distributed virtual brain, one computer at a time. Utilizing a computational model we’ve seen in such projects as SETI@Home, the system will harness the computing power of thousands of machines throughout ... Read more |
| Encog AI Framework for Java and .NET |
| Open Learning - Open Source Software |
| Saturday, 16 May 2009 05:33 |
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Description An advanced neural network and bot programming library. Encog can be used independently either to create neural networks or HTTP bot programs. Encog also includes classes that combine these two advanced features. Encog contains classes for Feedforward Neural Networks, Hopfield Neural Networks, and self organizing maps. Training can be accomplished using backpropagation, simulated annealing, and genetic optimization. Additional classes are provided for pruning neural networks. Author(s) / Project Lead(s) Jeff Heaton Organization Heaton Research Language(s) Java, C#/.NET Core Links Documentation  |
