neuralnet 2
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Some day we will build a thinking machine. It will be a truly intelligent machine. One that can see and hear and speak.
The Rise and Fall of Thinking Machines
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
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. Simon Greenwold developed and implemented much of Agency-GP. He was helped in the implementation by Jason Rolfe and Martin Hemberg.
The Illinois Simulator Laboratory (ISL) is a Beckman Institute facility at the University of Illinois for advancing scientific understanding of human-computer interactions. The primary mission of the ISL is to support the integration of advanced technologies so that Institute researchers can conduct experiments in human multi-modal perception and cognition. To facilitate this mission, the ISL maintains discrete laboratories allowing the incorporation of individualized multimodal control and monitoring technologies into advanced visualization environments, both immersive and ultra-high resolution. In fulfilling that mission, the ISL has become a world-recognized leader in creating and applying pc cluster-based computer technologies to graphics-intensive applications. As a core facility of the Beckman Institute, the ISL provides fertile environments for interdisciplinary research across the four Main Research Themes.
Integrated Systems Laboratory
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.
UNIVERSALITY AND EMERGENT COMPUTATION IN CELLULAR NEURAL NETWORK
Cellular computing is a natural information processing paradigm, capable of modeling various biological, physical and social phenomena, as well as other kinds of complex adaptive systems. The programming of a cellular computer is in many respects similar to the genetic evolution in biology, the result being a proper cell design and a task-specific gene. How should one “program” the cell of a cellular computer such that a dynamic behavior with computational relevance will emerge? What are the “rules” for designing a computationally universal and efficient cell? The answers to those questions can be found in this book. It introduces the relatively new paradigm of the cellular neural network from an original perspective and provides the reader with the guidelines for understanding how such cellular computers can be “programmed” and designed optimally.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
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 ( Occam's razor).
Artificial Neuron Applet
The original applet was written by Fred Corbett , and is available here . These pages and applet were modified by Olivier Michel and Alix Herrmann. Theory The first computational model for an artificial neuron was proposed by McCulloch and Pitts in 1943.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. After all, what was so exciting about a new language driving a page of text and illustrations in a clone of Mosaic? Then Gosling moved the mouse over an illustration of a 3D molecule in the middle of the text. The 3D molecule rotated with the mouse movement.