Artificial Neural Network
Artificial neural network is a term not often used, which describes any neural network not created by nature. In other words, smart AI, or AI capable or learning and decision making beyond implicit programming. Also known as ANN.
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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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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...
Ecological and economic factors are prompting telecommunications companies to deploy energy-saving systems. The broadband DSL access network consumes about 20 billion kilowatt-hours of energy per year worldwide ? equivalent to four percent ...
Exactly how memories are stored and accessed in the brain is unclear. Neuroscientists, however, do know that a primitive structure buried in the center of the brain, called the hippocampus, is a pivotal region of memory formation. Here, cha...
February 16 - 18, 2009
The IASTED International Conference on Artificial Intelligence and Applications--AIA 2009--covers machine learning research and applications. Topics include computer learning, ...
With the help of neural networks, in which complex algorithms are used to monitor critical process steps, engineers are paving the way for zero-defect production in the area of metal powder injection molding. The gain for manufacturers is l...