What is HNN ART
The Concept of Hybrid Neural Network Art (HNN Art)
Galina Bleikh and Elena Serebryakova are pioneers in the field of researching their own artistic partnership through a machine resource – as a process described with the concept of a Hybrid Neural Network (HNN). They have created conditions that correspond to the working pattern of a Hybrid Neural Network (HNN) consisting of their own bio-neurons and artificial computer nodes. The input consists of the parameters set by the artists into the system and the computer network content, whereas the output is a model corresponding to the language of modern art.
The term “hybrid” is interpreted by the artists as a creative system consisting of several integrated subsystems, each of which may possess different languages of representation and methods of derivation. The subsystems are grouped together semantically and matched one-to-one in terms of their functioning.
The hybrid creative system enables the artists to attain a synergetic combination of neural and symbolic models, thereby realizing the possibility of transcending the stifling boundaries of individuality and one’s own self.
The bio-neurons of the project artists are nodes in a neural network, which determine the direction of the vector connections circulating within the HNN.
The artificial computer nodes supply the neural network with ready-made net content and process it. This content exists in the form of images, 3-D models, templates, temporal frequency, communicative codes, semantic significations, signs and symbols, color schemes, hypertext, current references, the “garbage” of media and blogs.
This method enables them to obtain results that are shaped with the help of the hidden part of the neural network, which is a system capable of self-learning. Thanks to this, the results of the Hybrid Neural Network are unpredictable, which is a key principle of all creative activity as such.
The Hybrid Neural network described above integrates itself into global biological and artificial neural networks via special nodes that transmit signal from a specific HNN to related sectors of the global network (art communities, art structures, social networks, etc.)
© Galina Bleikh & Elena Serebryakova
What is HNN ART
The Concept of Hybrid Neural Network Art (HNN Art)
Galina Bleikh and Elena Serebryakova are pioneers in the field of researching their own artistic partnership through a machine resource – as a process described with the concept of a Hybrid Neural Network (HNN). They have created conditions that correspond to the working pattern of a Hybrid Neural Network (HNN) consisting of their own bio-neurons and artificial computer nodes. The input consists of the parameters set by the artists into the system and the computer network content, whereas the output is a model corresponding to the language of modern art.
The term “hybrid” is interpreted by the artists as a creative system consisting of several integrated subsystems, each of which may possess different languages of representation and methods of derivation. The subsystems are grouped together semantically and matched one-to-one in terms of their functioning.
The hybrid creative system enables the artists to attain a synergetic combination of neural and symbolic models, thereby realizing the possibility of transcending the stifling boundaries of individuality and one’s own self.
The bio-neurons of the project artists are nodes in a neural network, which determine the direction of the vector connections circulating within the HNN.
The artificial computer nodes supply the neural network with ready-made net content and process it. This content exists in the form of images, 3-D models, templates, temporal frequency, communicative codes, semantic significations, signs and symbols, color schemes, hypertext, current references, the “garbage” of media and blogs.
This method enables them to obtain results that are shaped with the help of the hidden part of the neural network, which is a system capable of self-learning. Thanks to this, the results of the Hybrid Neural Network are unpredictable, which is a key principle of all creative activity as such.
The Hybrid Neural network described above integrates itself into global biological and artificial neural networks via special nodes that transmit signal from a specific HNN to related sectors of the global network (art communities, art structures, social networks, etc.)