Artificial Neural Network

Artificial Neural Network or ANN is a term sometimes used to differentiate between an organic brain as a naturally occurring type of neural network, and a neural network running on a computer system, as a neural network artificially created.

The distinction is primarily important only because we are still learning how to best create a neural network that is capable of both self-teaching, and spontaneous creation. A self-aware ANN is still a very long way off, and we are still making our greatest strides by studying how naturally occurring neural networks are put together.

Ultimately artificial neural networks are likely to exceed the capabilities of naturally occurring neural networks, again for the same reason. Artificial networks will be designed, and enhanced over time, whereas naturally occurring networks develop through blind evolution.

See Also: Artificial Intelligence, Neural Network, Strong AI

Below, we offer a selection of links from our resource databases which may match this term.

ANN Artificial Neural Network EA

EANN Evolutionary Algorithm Evolving Artificial Neural Network

Hybrid intelligent system Neuro-Fuzzy Spiking Neuron

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A Modular Framework for Artificial Intelligence Based on Stimulus Response Directives
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.

Combining Natural and Artificial Neural Nets for Better Search
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".

Vehicle Control with Neural Networks
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.

Neurons as Artificial Control Circuits
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 Reader vs Neurostimulator
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.

Improving BCI: Neural Network on a Chip
In neuroprosthetics, rather than guide the electrodes to neuron dendrites, why not guide neuron dendrites to the electrodes?

The First Neural-Jack?
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.

Large Image Display: Sol Bianca: F-310 Mega-Arms Neural Interface Gun
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.

VR Interfaces: CB2

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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