Evolving Artificial Neural Network
An evolving artificial neural network, or EANN, is a specialised type of neural network, that whilst not created by nature, apes the abilities of natural neural networks.
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Neural networks are one of the best techniques available, for modelling a mind. However, they are also processing-intensive, and somewhat uncontrollable at their current technological level. This article concentrates on using directive sets, rather than neural nets, to create realistic, task driven behaviour.
Google, that pioneer of all manner of artificial intelligences designed for search, has posed the question as to whether or not artificial intelligences are capable of being taught to automatically label every song on the Internet. By melding the power of the internet, human minds and an online AI, the answer appears to be "yes, indeed".
An excellent, easy-to-follow look at using neural networks to control the movement of AI vehicles (or dragons, or whatever). Includes careful break down of how neural networks work, and carries a gradual learning curve upwards.
A look at a different type of Brain Machine Interface: The emerging field of animats, or robots controlled by neural tissue that grows and multiplies between electrode arrays.
Neural readers and neurostimulators. You will never encounter two more opposing types of brain prosthesis. It is ironic then, that these two are perhaps the most frequently confused, by the lay-person.
In neuroprosthetics, rather than guide the electrodes to neuron dendrites, why not guide neuron dendrites to the electrodes?
Japanese researchers have created the very first, incredibly crude, neural-jack interface, a distant ancestor of those seen in cyberpunk and the Matrix films, but of the same lineage all the same.
An in-depth technical look at the neural-controlled weapon in Sol Bianca. How it would actually function, and the basics of how we would go about recreating it in functional form, from technology available today.
CB2, which stands for Child-robot with Biomimetic Body, is a new android-based attempt at developing an artificial intelligence with social skills. The robot is essentially a bald, white baby, and it learns in much the same way - by watching expressions change on its 'mother's' face, and teaching its own neural net to cluster them together.
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Programming Neural Networks in Java will show the intermediate to advanced Java programmer how to create neural networks. This book attempts to teach neural network programming through two mechanisms. First the reader is shown how to create...
August 26 - 28, 2007
Pennsylvania State University, State College, Pennsylvania, USA
This NIMH supported conference will provide an intensive dialogue among leading thinkers about the rapidly evolving ethical dilemmas...
The fifth competition on "art and artificial life" is now taking submissions for pieces. Artworks embodying the concepts of -amoungst others - digital genetics, recursive chaotic algorithms, knowbots, avatars, evolving behaviours and virt...
Texas Tech University researchers have developed a way to automatically diagnose epilepsy with an accuracy rate of 94 percent, by training a neural network to recognize the characteristic patterns in EEG data that indicate the patient is ep...
No computer we have yet created works as efficiently as the human brain – building an artificial brain is the goal of many researchers. Neuroinformatics researchers from the University of Zurich and ETH Zurich have now made a breakthrough i...