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Biological Neural Circuits as Applications in Business and Engineering as a New Approach in Artificial Intelligence

Biological Neural Circuits as Applications in Business and Engineering as a New Approach in Artificial Intelligence

Rinat Galiautdinov
Copyright: © 2021 |Pages: 26
ISBN13: 9781799832386|ISBN10: 1799832384|ISBN13 Softcover: 9781799832393|EISBN13: 9781799832409
DOI: 10.4018/978-1-7998-3238-6.ch003
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MLA

Galiautdinov, Rinat. "Biological Neural Circuits as Applications in Business and Engineering as a New Approach in Artificial Intelligence." Artificial Neural Network Applications in Business and Engineering, edited by Quang Hung Do, IGI Global, 2021, pp. 49-74. https://doi.org/10.4018/978-1-7998-3238-6.ch003

APA

Galiautdinov, R. (2021). Biological Neural Circuits as Applications in Business and Engineering as a New Approach in Artificial Intelligence. In Q. Do (Ed.), Artificial Neural Network Applications in Business and Engineering (pp. 49-74). IGI Global. https://doi.org/10.4018/978-1-7998-3238-6.ch003

Chicago

Galiautdinov, Rinat. "Biological Neural Circuits as Applications in Business and Engineering as a New Approach in Artificial Intelligence." In Artificial Neural Network Applications in Business and Engineering, edited by Quang Hung Do, 49-74. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-3238-6.ch003

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Abstract

The chapter describes the new approach in artificial intelligence based on simulated biological neurons and created neural circuits which represent the next generation of computing systems and artificial intelligence for business applications. Unlike existing technical devices for implementing a neuron based on classical nodes oriented to binary processing, the proposed path is based on bit-parallel processing of numerical data (synapses) for obtaining result. The proposed approach of implementation a neuron can serve as a new elementary basis for the construction of neuron-based computers with a higher processing speed of biological information and good survivability. The research demonstrates the developed nervous circuit constructor and its usage in building of the nervous circuits of biological creatures and simulation of their work and how it could be used in the next generation of the computing systems.

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