Neurocomputers /article Review :: essays research papers fc

The dream of artificial intelligence that would give a data processor to learn, and thus get really smart, has proven to be something of a nightmare so far. That failure has lead biomedical point William ingeminate and his team of researchers at the Georgia Institute of Technology and Emory University to intent beyond silicon and even beyond light chips. Ditto points protrude that todays mental processors may be a lot faster, save theyre not a bit smarter than they were 40 years ago. Dittos processor is designed with sustenance tissue. The tissue being nerve cells taken from leeches because they are big, easy to use and they learn quickly. Neurons are able to process images more than a million times faster than the fastest computer (Sincell, 2000). The present review has two purposes (a) to enlighten the reader that the quest to ground smart computers, microchip engineers look beyond silicon and light to living nerve cells and (b) to suggest that this future technology co uld be the basis of the adjacent great computer wave.The article being discussed out of Discover clip states that brains derive tremendous problem solving abilities from two characteristics of their individual cells. First, a neuron can be in any one of thousands of opposite states, allowing it to store more information that a transistor, which has only two states, on and off (Sincell, 2000). Second, neurons can choose which other neurons to interact with by rearranging their get synaptic connections.Scientists have developed software that attempts to imitate the brains learning process using only the yes-no binary logic of digital computers with all the connections in a personal computer wired keystone at the factory. Breaking a single one of these connections usually crashes the computer.This is not a problem for a neurocomputer Ditto says, because dynamic chaotic systems ilk these naturally self-organize. An example of this would be the human heart. An isolated heart neuron s imply sparks chaotically, without apparent intelligence. But when it is a part of the neuronal engagement in a living heart, it synchronizes with all the other neurons to create a steady heartbeat (Sincell 2000). The neurocomputer would work in a similar way. If a computer programmer posed a problem to a order of battle of neurons, such as create a regular heartbeat, the neurons would then gens out through trial and error how to rewire their own circuits to maintain a steady rhythmic beat.