Machine Learning and Abstract Art: a Systems Neuroscience approach to Artificial Creativity.

Today I would like to share my master’s final thesis (based on a theoretical-practical investigation) about the relationship of Art and Machine Learning

Since the human mind and therefore our artistic processes are intrinsic parts of biological matter, a Neuroscience inspired approach to Artificial Intelligence may be a practical way to build synthetic minds and creative machines.

In order to find out the potential of Machine Learning (ML) algorithms an Intelligent Agent (IA) was deployed under the name of HOLOBIONTia which is capable of “understanding” abstract art and also able not to only “imagine”, but to make new paintings. The findings -accessible to the public through an exhibition in a Virtual Reality art gallery– suggest that while disruptive technoscientific innovations through automation may be threatening to the continuity of some creative activities traditionally done by humans, they may also serve as a trampoline to imagine new forms of representation of our world through computer science.

Finally, by experimenting with these emerging technologies we can explore their cultural, political and aesthetic possibilities.


*(Picture: Pixabay).

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