farshid bahrami

 

This is a model of artificial intelligence architecture developed using the 

technique of targeting and assembling various components (as needed) together 

to get artificial intelligence with characteristics similar to human intelligence. 

This model represents the general form, the strategy, and the mechanism of 

manufacturing an artificial intelligence device and the fact that based on what 

structure it can turn into artificial intelligence. One of the important features of 

DOI Link: 
10.21227/y46g-8468
Read more

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

farshid bahrami [1] farshid bahrami, "Artificial intelligence machine architecture model with human intelligence ability", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/y46g-8468. Accessed: Oct. 05, 2024.
@data{y46g-8468-18,
doi = {10.21227/y46g-8468},
url = {http://dx.doi.org/10.21227/y46g-8468},
author = {farshid bahrami },
publisher = {IEEE Dataport},
title = {Artificial intelligence machine architecture model with human intelligence ability},
year = {2018} }
TY - DATA
T1 - Artificial intelligence machine architecture model with human intelligence ability
AU - farshid bahrami
PY - 2018
PB - IEEE Dataport
UR - 10.21227/y46g-8468
ER -
farshid bahrami. (2018). Artificial intelligence machine architecture model with human intelligence ability. IEEE Dataport. http://dx.doi.org/10.21227/y46g-8468
farshid bahrami, 2018. Artificial intelligence machine architecture model with human intelligence ability. Available at: http://dx.doi.org/10.21227/y46g-8468.
farshid bahrami. (2018). "Artificial intelligence machine architecture model with human intelligence ability." Web.
1. farshid bahrami. Artificial intelligence machine architecture model with human intelligence ability [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/y46g-8468
farshid bahrami. "Artificial intelligence machine architecture model with human intelligence ability." doi: 10.21227/y46g-8468