Post by account_disabled on Feb 22, 2024 5:08:24 GMT -5
The scientific community and experts in the development of IT solutions have long been working on what has been agreed to be called "neural computing", or " artificial neural networks ", a new technology that aims to develop artificial systems that imitate the composition of networks. neuronal cells of the human brain , capable of carrying out its most basic functions. Artificial neural networks (also called ANNs ) are expected to revolutionize traditional computing by establishing a new paradigm, leaving crucial aspects such as the architecture of current CPUs, the programming of rules, partially or completely obsolete . and the codification of knowledge. artificial neural networks Artificial neural networks: characteristics, possibilities and myths Let's start with what we have already briefly noted: the transformation of the computational paradigm and the consequent obsolescence of some currently key operations in computing. CPU architecture : today, the vast majority of computers have the same architecture, classic or traditional, consisting of a single, central processor, responsible for carrying out basic operations.
The ANN architecture is expected to leave this architecture behind forever, using systems based on the installation of different processors in parallel, interconnected with each other and operating simultaneously. Rule programming and knowledge codification : for a computer system to execute the operations entrusted to it, it must "know" a set of specific rules that have to be previously programmed. The ANN, as we will see, raises the possibility of having computer systems capable of learning these rules by themselves, without the need to Chinese Student Phone Number List program or reprogram the system each time it is assigned a new operation to execute that was not previously planned. Science fiction? Well no, or at least not for the most part. What the new technology based on artificial neural networks promises is, already today, at least theoretically possible , and in the very near future it is expected that it will also be materially possible. In short, what ANN proposes is to have systems capable of: Learn for themselves , to obtain the theoretical and practical knowledge necessary to execute certain tasks, and what is more important, learn from experience using and applying patterns of identifying risks, successes and failures in a very similar way (if not identical) to how a human brain operates. Make generalizations to apply the knowledge acquired to new situations.
Carry out abstractions of acquired knowledge and experience, create new concepts, identify specific characteristics of reality and treat them separately... All of this is no longer, as we warned, science fiction. It has managed to go beyond the walls of the probable to establish itself in the field of the possible and achievable. For this reason, there are many experts who venture to predict a completely different new horizon in areas and disciplines such as business intelligence , something that will most likely be the case in the very near future. However, caution is usually a good ally in issues like the one we have discussed today; especially when the object of imitation, in this case the human brain, is still largely unknown to the scientific disciplines that consider it their main subject of study. Such transcendental issues in the field of artificial intelligence (in which ANN is fully ascribed) such as the formation of human consciousness , at the same time one of the currently most unfathomable mysteries for science, can become insurmountable obstacles in future development. of artificial neural networks . Related posts: Predictive Analytics: the main predictive analysis models Artificial neural networks: operation and application to business Internet of Things: comprehensive monitoring as a horizon.
The ANN architecture is expected to leave this architecture behind forever, using systems based on the installation of different processors in parallel, interconnected with each other and operating simultaneously. Rule programming and knowledge codification : for a computer system to execute the operations entrusted to it, it must "know" a set of specific rules that have to be previously programmed. The ANN, as we will see, raises the possibility of having computer systems capable of learning these rules by themselves, without the need to Chinese Student Phone Number List program or reprogram the system each time it is assigned a new operation to execute that was not previously planned. Science fiction? Well no, or at least not for the most part. What the new technology based on artificial neural networks promises is, already today, at least theoretically possible , and in the very near future it is expected that it will also be materially possible. In short, what ANN proposes is to have systems capable of: Learn for themselves , to obtain the theoretical and practical knowledge necessary to execute certain tasks, and what is more important, learn from experience using and applying patterns of identifying risks, successes and failures in a very similar way (if not identical) to how a human brain operates. Make generalizations to apply the knowledge acquired to new situations.
Carry out abstractions of acquired knowledge and experience, create new concepts, identify specific characteristics of reality and treat them separately... All of this is no longer, as we warned, science fiction. It has managed to go beyond the walls of the probable to establish itself in the field of the possible and achievable. For this reason, there are many experts who venture to predict a completely different new horizon in areas and disciplines such as business intelligence , something that will most likely be the case in the very near future. However, caution is usually a good ally in issues like the one we have discussed today; especially when the object of imitation, in this case the human brain, is still largely unknown to the scientific disciplines that consider it their main subject of study. Such transcendental issues in the field of artificial intelligence (in which ANN is fully ascribed) such as the formation of human consciousness , at the same time one of the currently most unfathomable mysteries for science, can become insurmountable obstacles in future development. of artificial neural networks . Related posts: Predictive Analytics: the main predictive analysis models Artificial neural networks: operation and application to business Internet of Things: comprehensive monitoring as a horizon.