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Trainable Digital Logic (TDL)
A technology called trainable digital logic (TDL), which performs many of the functions performed by artificial neural networks, has been developed by Neural Systems Corporation (NSC). TDL circuitry typically is significantly simpler and orders of magnitude faster than the equivalent neural network. General purpose TDL pattern recognizers can be constructed on a single chip or as part of a chip that performs additional functions.
Almost all conventional neural networks are implemented on a digital computer where the computer input is a digital word (or words) and the output is binary or a binary word. Thus, the computer implements what is generally known as a 'switching function.' It is known that all switching functions can be implemented with binary logic. TDL, which uses binary logic, can be trained to implement the complicated switching functions that are equivalent to those generated by a neural network computer. During training NSC algorithms specify the logic and architecture in a compact form, which can be implemented using standard chip design tools.
Conventional neural network algorithms implement large sets of interconnected neuron analogs. Each analog requires much arithmetic and solutions of non-linear functions, which result in complexity and reduced speed. The TDL, in contrast, uses no arithmetic and no non-linear functions. Trainable hardware can be constructed to make a million decisions a second.
Collaboration sought: NSC is looking for a business partner interested in either acquiring or leasing this technology. We also are interested in aiding in the development of products that might use TDL.
Charles S. Weaver, Ph.D.
President, Neural Systems Corp.
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