neuralnet 2
Get flash to fully experience Pearltrees
Technical details The technical power beneath GENR8 is twofold: evolutionary search and HEMLS (Hemberg Extended Map L-Systems). A HEMLS, the generative process, is interpreted by GENR8 to generate a surface. GENR8 uses evolutionary search to discover its own HEMLS that adaptively evolve towards surfaces with features the user has specified.
GENR8
Agency-GP AI Lab
Welcome to the Agency-GP website at the Artificial Intelligence Lab What is Agency-GP? Agency-GP is an architect's design tool developed by the Emergent Design Group at MIT . Agency-GP creates novel, complex spaces which are 3-dimensional extrusions from a plane marked with many potential extrusion tracks. It is a plug-in to Alias Maya and is intended for use by architects who want to explore the interaction between programmatic factors (what space will be used for) and emergent space allocation.
P.A.U.L.A
Welcome to the official web site of P.A.U.L.A, the artificial intelligence with a more human touch. In case you don't already know what this is all about - let me give you an explanation. P.A.U.L.A stands for Paolo's Artificial Intelligence Limited to Assimilation. Several versions have been released the past four years under the name Paula, but none of them came close what what came to be called P.A.U.L.A SG - where SG stands for Second Generation. P.A.U.L.A SG is a thinking program, a program simulating the brain of a human being.
Fast Artificial Neural Network Library is a free open source neural network library, which 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.
Fast Artificial Neural Network Library
According to a simplified account, the human brain consists of about ten billion neurons -- and a neuron is, on average, connected to several thousand other neurons. By way of these connections, neurons both send and receive varying quantities of energy. One very important feature of neurons is that they don't react immediately to the reception of energy. Instead, they sum their received energies, and they send their own quantities of energy to other neurons only when this sum has reached a certain critical threshold.
An introduction to neural networks
DISCOVERING NEURAL NETS
Jürgen Schmidhuber IDSIA, Lugano, Switzerland juergen@idsia.ch http://www.idsia.ch/~juergen Many neural net learning algorithms aim at finding ``simple'' nets to explain training data. The expectation is: the ``simpler'' the networks, the better the generalization on test data (
Artificial Neuron Applet
Introduction This applet demonstrates the basic structure and behaviour of an artificial neuron. Credits The original applet was written by Fred Corbett , and is available here .AI - The art and science of making computers do interesting things that are not in their nature. March 2005 Introduction Back in 1995, applets seemed so wonderful. James Gosling, one of Java's developers, recalls a demonstration he gave to a group of Internet and entertainment professionals: As the talk began, Gosling noticed that many people were only casually paying attention.
